TL;DR
VulnClaw is a security testing tool that automates the entire penetration testing process, from information gathering to report generation, based on natural language input from an AI agent.
Key features
Natural Language Automation: Users can simply state an intent like "perform a penetration test on this target," and the AI will automatically handle information gathering, vulnerability discovery, exploitation, and report generation.
Goal-Oriented Engine: Instead of a fixed number of iterations, it uses goal achievement, exploration exhaustion, and safety budgets as termination criteria for efficient operation.
Evidence-Based Anti-Hallucination Gate: It verifies that AI-generated results (e.g., flags) appear verbatim in actual tool outputs, blocking fictitious results.
MCP Tool Chain: Integrates local MCP services like fetch and memory with external services like chrome-devtools and burp for browser automation and HTTP capture replay.
Multi-LLM Support: Supports over 13 LLM providers including OpenAI, MiniMax, and DeepSeek, allowing flexible model switching.
When to use it
Authorized Penetration Testing & Security Audits: When you need to automatically detect system vulnerabilities and generate reports.
CTF Competitions & Security Education: For quickly exploring attack chains or practicing penetration testing workflows for learning purposes.
Red Team Training & Automation: To automate repetitive security testing tasks and improve team efficiency.