Search Results for "ai"

PentestGPT is an AI-powered autonomous penetration testing agent designed to perform intelligent, end-to-end security assessments using large language models. Published at USENIX Security 2024, it combines advanced reasoning with an agentic workflow to automate tasks traditionally handled by human pentesters. The platform supports multiple penetration testing categories, including web security, cryptography, reversing, forensics, privilege escalation, and binary exploitation.

V3SP3R is an experimental open-source project focused on integrating artificial intelligence with Flipper Zero control, aiming to create a more autonomous and intelligent interaction layer for hardware-based security tools. The project explores the concept of AI-assisted device control, where an intelligent system can interpret commands, automate workflows, and potentially orchestrate complex sequences of actions across Flipper functionalities. It is part of a broader ecosystem of projects by the same author that investigate prompt engineering, agent-based systems, and unconventional AI interaction paradigms. ...

Shannon is an autonomous AI penetration testing system built to find and prove real, exploitable vulnerabilities in web applications rather than stopping at static warnings or best-guess alerts. It focuses on “proof by exploitation,” meaning it actively hunts for attack vectors in your code and then attempts to execute end-to-end exploits to demonstrate impact.

NullSquare is an AI-powered security platform that can do both penetration testing and compliance auditing.

...In addition to Kali tools, JakiKaliOS ships with custom DarkHub community utilities including JakiScanner, JakiSnippets, JakiMonitor (Conky-based system monitor), Gemini-Py AI client, and stress testing scripts.

...Shennina is integrated with Metasploit and Nmap for performing the attacks, as well as being integrated with an in-house Command-and-Control Server for exfiltrating data from compromised machines automatically. Shennina scans a set of input targets for available network services, uses its AI engine to identify recommended exploits for the attacks, and then attempts to test and attack the targets. If the attack succeeds, Shennina proceeds with the post-exploitation phase. The AI engine is initially trained against live targets to learn reliable exploits against remote services. Shennina also supports a "Heuristics" mode for identfying recommended exploits.

It is an Portable Penetration Testing Operating System designed for Beagle Bone AI. It is an debian based operating system fully packed with all latest Hacking Tools. The Root file system used in this Deck Linux is Ubuntu 20.04 LTS. It can be installed in Beagle Board AI and can use as a replacement for Laptop, Desktop. It can be placed on a drone too. It has a pre-installed MeshDeck (written by Philip Polstra) so it can be runned in a ZigBee network.