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ai-penetration-testing

Here are 33 public repositories matching this topic...

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.

  • Updated Aug 4, 2026
  • TypeScript

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.

  • Updated Aug 3, 2026
  • Python

NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations.

  • Updated Aug 4, 2026
  • Rust

Shannon-Uncontained. A Docker-free, black‑box‑first fork that treats AI as a fallible witness rather than an oracle: treats uncertainty as a first class citizen via EQBSL epistemic bookkeeping, and agentic recon/analysis/synthesis tuned for “paste url -> pwn box -> ???? -> profit”

  • Updated Mar 16, 2026
  • JavaScript

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.

  • Updated Feb 26, 2026
  • Python

AI agents for pentesting, code audit, fuzzing, vulnerability discovery, and reverse engineering — harnesses, sandboxes, security MCP servers, benchmarks, and evals.

  • Updated Aug 3, 2026

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