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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.

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

Acela este "Vulnerability Disclosure Program", nu se plateste, dar se ofera reputatie HackerOne. Bug bounty e momentan privat (invite-only). Parca (nu ma ocup eu de el).

Vrei un cod? Baietii cu cod, sunteti chemati.

CGST-XUTT-78JS-EUB4-WMSN 11.08.2022 FRAJ-WRB5-PR96-6KAT-4UA5 12.06.2020 New 12 version here https://divinesofttech.com/download-eset-nod32.html Free keys here https://divinesofttech.com/