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Si ce rezolvi daca vei afla ca te.inseala? Unii dupa ce afla se complac in aceeasi situatie. Ofera-i mai putina atentie si te va baga ea in seama. https://wol.jw.org/ro/wol/d/r34/lp-m/1102011164#h=5

Normal ca te inseala, te-a luat de papagal si a gasit pe altu de o fute mai bine, dar de tine se simte atasata ca suport moral, sprijin material, stie ca-i vei fi aproape la greu, si pe ce se mai bazeaza relatia voastra. Un futai bun spulbera tot.. incearca sa i-o tragi ca la ultima parasuta, si o sa vezi pe urma efectul. Majoritatea pisdelor gandesc total diferit fata de ce-ti imaginezi tu ca ar arata o relatie ideala.

Deep Exploit - Official Link Fully automatic penetration test tool using Deep Reinforcement Learning. Presentation February 17th,2018: SECCON YOROZU 2018 August 9th,2018: Black Hat USA 2018 Arsenal August 10th,2018: DEF CON 26! AI Village October 24th,2018: CSS2018 November 3rd,2018: AV TOKYO 2018 Hive December 6th,2018: Black Hat EURO 2018 Arsenal Cooperation HITB+ AI Challenge Demonstration See the demo page. Documentation (Installation, Usage) See the project's wiki for installation, usage and changelog. Overview DeepExploit is fully automated penetration test tool linked with Metasploit. DeepExploit identifies the status of all opened ports on the target server and executes the exploit at pinpoint using Machine Learning. It's key features are following. Efficiently execute exploit. DeepExploit can execute exploits at pinpoint (minimum 1 attempt) using Machine Learning. Deep penetration. If DeepExploit succeeds the exploit to the target server, it further executes the exploit to other internal servers. Self-learning. DeepExploit can learn how to exploitation by itself (uses Reinforcement Learning). It is not necessary for humans to prepare learning data. Learning time is very fast. Generally, reinforcement learning takes a lot of time. So, DeepExploit uses distributed learning by multi agents. We adopted an advanced machine learning model called A3C. Powerful intelligence gathering To gather the information of software operated on the target server is very important for successful the exploitation. DeepExploit can identify product name and version using following methods. Port scanning Machine Learning (Analyze HTTP responses gathered by Web crawling) Contents exploration 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.

Official Link Introduction Maltrail is a malicious traffic detection system, utilizing publicly available (black)lists containing malicious and/or generally suspicious trails, along with static trails compiled from various AV reports and custom user defined lists, where trail can be anything from domain name (e.g. zvpprsensinaix.com for Banjori malware), URL (e.g. hXXp://109.162.38.120/harsh02.exefor known malicious executable), IP address (e.g. 185.130.5.231 for known attacker) or HTTP User-Agent header value (e.g. sqlmap for automatic SQL injection and database takeover tool). Also, it uses (optional) advanced heuristic mechanisms that can help in discovery of unknown threats (e.g. new malware).

ManaTI Project - Official Link Machine Learning for Threat Intuitive Analysis The goal of the ManaTI project is to develop machine learning techniques to assist an intuitive threat analyst to speed the discovery of new security problems. The machine learning will contribute to the analysis by finding new relationships and inferences. The project will include the development of a web interface for the analyst to interact with the data and the machine learning output. This project is partially supported by Cisco Systems. For more information about the project please go to Stratosphere Lab page

Official Link Emagnet is a very powerful tool for it's purpose wich is to capture email addresses and passwords from leaked databases uploaded on pastebin. It's almost impossible to find leaked passwords when they are out of list on pastebin.com. Either they have been deleted by pastebin's techs or the uploads is just one in the crowd. To be honest it's easier to find a needle in a haystack then find outdated uploads on pastebin with the data we want to collect. Demo - How it works Left side is how you see it - Right side is what actually happening in the background Of course everything getting stored to log dir (Filtered email addresses)

airgeddon - Official Link

REBEL-FRAMEWORK - Official Link automate the automation MODULES SCREENSHOTS DEMOS

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