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VulnClaw
VulnClaw is an AI-driven penetration testing CLI tool that automates information gathering, vulnerability discovery, exploitation, and reporting.
VulnClaw is an AI penetration testing agent that operates through a command-line interface. It utilizes a natural language input system to perform automated recon, vulnerability analysis, and exploitation tasks for authorized scenarios like CTFs and red team drills. The system relies on a model-led solving engine that independently decides on next steps, tool usage, and when to verify conclusions against real evidence. It supports 14 LLM providers, including OpenAI, Anthropic, and local Ollama models. The architecture includes MCP tool chains for tasks like HTTP request modification, browser interaction, and source code extraction, alongside a persistence layer for evidence and traffic storage.
VulnClaw at a glance
Key features
- Autonomous penetration testing loop with model-led decision making
- Evidence-based anti-hallucination gate for verifying findings
- Support for 14 LLM providers including OpenAI and local Ollama
- MCP tool chain integration for browser automation and HTTP interception
- Structured Markdown report and Python PoC script generation
- Persistent penetration testing with state management across cycles
- Local source code security scanning via plugin runtime
Use it for
- Authorized penetration testing
- CTF competition participation
- Security education and red team exercises
Alternatives to VulnClaw
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- Artex Global — Autonomous multi-agent penetration testing with multilingual output support.
- Mantis — Automates vulnerability discovery and patching using AI agents.
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- PentestGPT — Runs autonomous multi-stage pipelines or interactive multi-LLM workflows for security tests.
- DeepTeam — It automates penetration testing using adversarial LLM simulations.
- Vigil — Drives end-to-end security engagements with specialist agents and a shared Kali container.
All VulnClaw alternatives