Active Members Fi8sVrs Posted June 1, 2018 Active Members Report Posted June 1, 2018 Deep Exploit at Black Hat USA 2018 Arsenal. Overview DeepExploit is fully automated penetration tool linked with Metasploit. It has two exploitation modes. Intelligence mode DeepExploit identifies the status of all opened ports on the target server and executes the exploit at pinpoint using Machine Learning. Brute force mode DeepExploit executes exploits thoroughly using all combinations of "Exploit module", "Target" and "Payload" of Metasploit corresponding to user's indicated product name and port number. DeepExploit's key features are following. Self-learning. DeepExploit can learn how to exploitation by itself (uses reinforcement learning). It is not necessary for humans to prepare learning data. Efficiently execute exploit. DeepExploit can execute exploits at pinpoint (minimum 1 attempt) using self-learned data. Deep penetration. If DeepExploit succeeds the exploit to the target server, it further executes the exploit to other internal servers. Operation is very easy. Your only operation is to input one command. It is very easy!! Learning time is very fast. Generally, learning takes a lot of time. So, DeepExploit uses distributed learning by multi agents. We adopted an advanced machine learning model called A3C. Abilities of "Deep Exploit" Current DeepExploit's version is a beta. But, it can fully automatically execute following actions: Intelligence gathering. Threat modeling. Vulnerability analysis. Exploitation. Post-Exploitation. Reporting. Your benefits By using our DeepExploit, you will benefit from the following. For pentester: (a) They can greatly improve the test efficiency. (b) The more pentester uses DeepExploit, DeepExploit learns how to method of exploitation using machine learning. As a result, accuracy of test can be improve. For Information Security Officer: (c) They can quickly identify vulnerabilities of own servers. As a result, prevent that attackers attack to your servers using vulnerabilities, and protect your reputation by avoiding the negative media coverage after breach. Since attack methods to servers are evolving day by day, there is no guarantee that yesterday's security countermeasures are safety today. It is necessary to quickly find vulnerabilities and take countermeasures. Our DeepExploit will contribute greatly to keep your safety. Quote Note: If you are interested, please use them in an environment under your control and at your own risk. System component DeepExploit consists of the machine learning model (A3C) and Metasploit. The A3C executes exploit to the target servers via RPC API. The A3C is developped by Keras and Tensorflow that famous ML framework based on Python. It is used to self-learn exploit's way using deep reinforcement learning. The self-learned's result is stored to learned data that reusable. Metasploit is most famous penetration test tool in the world. It is used to execute an exploit to the target servers based on instructions from the A3C. Processing flow Intelligence mode Step 1. Port scan the training servers. DeepExploit gathers information such as OS, opened port number, product name, protocol on the target server. So, it executes the port scanning to training servers. After port scanning, it executes two Metasploit's command (hosts and services) via RPC API. ex) The result of hosts command. Hosts ===== address mac name os_name os_flavor os_sp purpose info comments ------- --- ---- ------- --------- ----- ------- ---- -------- 192.168.220.145 00:0c:29:16:3a:ce Linux 2.6.X server DeepExploit gets OS type using regular expression from result of hosts command. In above example, DeepExploit gets OS type as Linux. ex) The result of services command. Services ======== host port proto info ---- ---- ----- ---- 192.168.220.145 21 tcp vsftpd 2.3.4 192.168.220.145 22 tcp OpenSSH 4.7p1 Debian 8ubuntu1 protocol 2.0 192.168.220.145 23 tcp Linux telnetd 192.168.220.145 25 tcp Postfix smtpd 192.168.220.145 53 tcp ISC BIND 9.4.2 ...snip... 192.168.220.145 5900 tcp VNC protocol 3.3 192.168.220.145 6000 tcp access denied 192.168.220.145 6667 tcp UnrealIRCd 192.168.220.145 8009 tcp Apache Jserv Protocol v1.3 192.168.220.145 8180 tcp Apache Tomcat/Coyote JSP engine 1.1 RHOSTS => 192.168.220.145 DeepExploit gets other information such as opened port numbers, protocol types, product name, product version using regular expression from result of service command. In above example, DeepExploit gets following information from the target server. Idx OS Port# Protocol product version 1 Linux 21 tcp vsftpd 2.3.4 2 Linux 22 tcp ssh 4.7p1 3 Linux 23 tcp telnet - 4 Linux 25 tcp postfix - 5 Linux 53 tcp bind 9.4.2 6 Linux 5900 tcp vnc 3.3 7 Linux 6667 tcp irc - 8 Linux 8180 tcp tomcat - Step 2. Training. DeepExploit learns how to method of exploitation using advanced machine learning model called A3C. The A3C consists of multiple neural networks. The neural networks takes the information of the training server gathered in Step1 as input and outputs some kinds of Payload. And the A3C uses the output Payload to Exploit to the training server via Metasploit. In accordance with the result (success / failure) of Exploit, the A3C updates the weight of the neural network (parameter related to attack accuracy). By performing the above processing (learning) with a combination of various inputs, an optimum Payload for input information is gradually output. In order to shorten the learning time, we execute this processing in multi threads. Therefore, learning by using various training servers, DeepExploit can execute accurate exploit according to various situations. So, DeepExploit uses training servers such as metasploitable3, metasploitable2, owaspbwa for learning. Training servers (one example)metasploitable2metasploitable3others Step 3. Testing. DeepExploit execute exploit to the testing server using learned result in Step2. It can execute exploits at pinpoint (minimum 1 attempt). Step 4. Post exploit. If DeepExploit succeeds in Exploit of the testing server, it executes exploit to the internal servers with the testing server as a springboard. Step 5. Generate report. DeepExploit generates a report that summarizes vulnerabilities. Report's style is html. Brute force mode Step 1. Getting target products. DeepExploit receives a target product name list from the user via the console. Each product names are separated by "@" mark. ex) Target product name list. wordpress@joomla@drupal@tikiwiki Quote Note: The specified product name must be a name that can be recognized by the Metasploit search command. Step 2. Exploit. DeepExploit takes Exploit modules, Targets, Payloads of Metasploit corresponding to the specified products and executes exploit thoroughly using all combinations of them. Step 3. Post exploit. If DeepExploit succeeds in Exploit of the testing server, it executes exploit to the internal servers with the testing server as a springboard. Step 4. Generate report. DeepExploit generates a report that summarizes vulnerabilities. Report's style is html. Installation Step.0 Git clone DeepExploit's repository. local@client:~$ git clone https://github.com/13o-bbr-bbq/machine_learning_security.git Step.1 Install required packages. local@client:~$ cd machine_learning_security/DeepExploit local@client:~$ python install -r requirements.txt Step.2 Change the setting of Keras. Keras is library of machine learning linked with Tensorflow. So, you need to edit Keras config file "keras.json" before run Deep Exploit. local@client:~$ cd "your home directory"/.keras local@client:~$ vim keras.json keras.json { "epsilon": 1e-07, "floatx": "float32", "image_data_format": "channels_last", "backend": "tensorflow" } You rewrite the element of "backend" to "tensorflow". Installation is over. Usage Step.0 Initialize Metasploit DB Common Firstly, you initialize metasploit db (postgreSQL) using msfdb command. root@kali:~# msfdb init Step.1 Launch Metasploit Framework You launch Metasploit on the remote server that installed Metasploit Framework such as Kali Linux. root@kali:~# msfconsole ______________________________________________________________________________ | | | METASPLOIT CYBER MISSILE COMMAND V4 | |______________________________________________________________________________| \\ / / \\ . / / x \\ / / \\ / + / \\ + / / * / / / . / X / / X / ### / # % # / ### . / . / . * . / * + * ^ #### __ __ __ ####### __ __ __ #### #### / \\ / \\ / \\ ########### / \\ / \\ / \\ #### ################################################################################ ################################################################################ # WAVE 4 ######## SCORE 31337 ################################## HIGH FFFFFFFF # ################################################################################ https://metasploit.com =[ metasploit v4.16.15-dev ] + -- --=[ 1699 exploits - 968 auxiliary - 299 post ] + -- --=[ 503 payloads - 40 encoders - 10 nops ] + -- --=[ Free Metasploit Pro trial: http://r-7.co/trymsp ] msf > Step.2 Launch RPC Server You launch RPC Server of Metasploit following. msf> load msgrpc ServerHost=192.168.220.144 ServerPort=55553 User=test Pass=test1234 [*] MSGRPC Service: 192.168.220.144:55553 [*] MSGRPC Username: test [*] MSGRPC Password: test1234 [*] Successfully loaded plugin: msgrpc msgrpc options description ServerHost IP address of your server that launched Metasploit. Above example is 192.168.220.144. ServerPort Any port number of your server that launched Metasploit. Above example is 55553. User Any user name using authentication (default => msf). Above example is test. Pass Any password using authentication (default => random string). Above example is test1234. Step.3 Edit config file. You have to change following value in config.ini ...snip... [Common] server_host : 192.168.220.144 server_port : 55553 msgrpc_user : test msgrpc_pass : test1234 ...snip... [Metasploit] lhost : 192.168.220.144 config description server_host IP address of your server that launched Metasploit. Your setting value ServerHost in Step2. server_port Any port number of your server that launched Metasploit. Your setting value ServerPort in Step2. msgrpc_user Metasploit's user name using authentication. Your setting value User in Step2. msgrpc_pass Metasploit's password using authentication. Your setting value Pass in Step2. lhost IP address of your server that launched Metasploit. Your setting value ServerHost in Step2. Intelligence mode Step.4 Train Deep Exploit You execute Deep Exploit with training mode on the client machine. local@client:~$ python DeepExploit.py -t 192.168.184.132 -m train command options description -t, --target IP address of training vulnerable host such as Metasploitable2. -m, --mode Execution mode "train". Demo) learning with 10 threads. Step.5 Test using trained Deep Exploit You execute Deep Exploit with testing mode on the client machine. local@client:~$ python DeepExploit.py -t 192.168.184.129 -m test command options description -t, --target IP address of test target host. -m, --mode Execution mode "test". Demo) testing with 1 thread. Step.6 Check scan report. Please check scan report using any web browser. local@client:~$ firefox "Deep Exploit root path"/report/DeepExploit_report.html Brute force mode Step.4 Brute force Deep Exploit You execute DeepExploit with brute force mode on the client machine. local@client:~$ python DeepExploit.py -t 192.168.184.132 -p 80 -s wordpress@joomla@drupal@tikiwiki command options description -t, --target IP address of test target host. -p, --port Indicate port number of target server. -s, --service Indicate product name of target server. Demo) Brute force mode. Coming soon!! Step.5 Check scan report Please check scan report using any web browser. Tips 1. How to change "Exploit module's option". When Deep Exploit exploits, it uses default value of Exploit module options. If you want to change option values, please input any value to "user_specify" in exploit_tree.json as following. "unix/webapp/joomla_media_upload_exec": { "targets": { "0": [ "generic/custom", "generic/shell_bind_tcp", "generic/shell_reverse_tcp", ...snip... "TARGETURI": { "type": "string", "required": true, "advanced": false, "evasion": false, "desc": "The base path to Joomla", "default": "/joomla", "user_specify": "/my_original_dir/" }, Above example is to change value of TARGETURI option in exploit module "exploit/unix/webapp/joomla_media_upload_exec" to "/my_original_dir/" from "/joomla". Operation check environment Kali Linux 2017.3 (Guest OS on VMWare) Memory: 8.0GB Metasploit Framework 4.16.15-dev Windows 10 Home 64-bit (Host OS) CPU: Intel(R) Core(TM) i7-6500U 2.50GHz Memory: 16.0GB Python 3.6.1（Anaconda3） tensorflow 1.4.0 Keras 2.1.2 msgpack 0.4.8 docopt 0.6.2 More information MBSD Blog Sorry, now Japanese only. English version is coming soon Licence Apache License 2.0 Contact us Isao Takaesutakaesu235@gmail.comhttps://twitter.com/bbr_bbq Source 3 Quote
xprocode Posted June 23, 2018 Report Posted June 23, 2018 vos articles son de très haut niveau pour nous les novices. Je suis éblouie meme si c'est trop fort pour moi 👌 1 Quote
