Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
AI Penetration Testing GitHub Repositories
Explore popular GitHub repositories tagged “ai-penetration-testing”.
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Shannon is an AI pentester for web applications and APIs. It analyzes your source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before they reach production.
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next.
Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.
NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations.
Cyberful is an open-source application-security workbench for discovering, exploiting, verifying, and remediating vulnerabilities.
Mergen is an MCP server that gives your AI a real red team brain. It doesn't just run tools, it picks the right ones, chains them together, and actually makes sense of the output. Built by pentesters, for pentesters who are tired of babysitting scripts.
Semantic Stealth Attacks & Symbolic Prompt Red Teaming on GPT and other LLMs.
RAG Poisoning Lab — Educational AI Security Exercise
AI-Pentesting-Tool is an educational workflow for using an AI agent with Kali tooling through MCP (Model Context Protocol) in VS Code insiders for white-box and black-box pentesting..
AI agents for pentesting, code audit, fuzzing, vulnerability discovery, and reverse engineering — harnesses, sandboxes, security MCP servers, benchmarks, and evals.
Automate authorized pentesting with LLMs, combining scanning, RAG, and exploit research for faster target analysis, vuln discovery, and reporting
The autonomous pentester that proves its findings — AI-driven, evidence-first, behind-login.
🤖 Build advanced AI agents with a collection of production-ready applications using modern frameworks for single and multi-agent systems.