VulnClaw Launches as Open-Source AI Penetration Testing Tool With Anti-Hallucination Gates and Full Attack Pipeline Automation

VulnClaw launches as a powerful open-source AI penetration testing tool that automates the full attack pipeline from reconnaissance to report generation, featuring anti-hallucination gates that reject unverified results, support for 13 LLM providers, and a goal-driven engine with adaptive bypass strategies across 21 built-in penetration skills.

• VulnClaw is an open-source AI-powered penetration testing CLI tool that accepts natural language input and automatically executes a full attack pipeline — information gathering, vulnerability discovery, exploitation, and report generation — using LLM agents combined with an MCP tool chain and modular penetration skills.
• The tool features a goal-driven solve engine built on a Fact/Intent blackboard graph that replaces fixed-round workflows, an evidence-level anti-hallucination gate that rejects any claimed flag or completion not found verbatim in real tool output, and adaptive reflexion that escalates bypass payloads through L0–L4 strategies when attacks fail.
• VulnClaw supports 13 LLM providers including OpenAI, DeepSeek, and MiniMax, offers multiple interfaces including CLI, TUI, REPL, and a local Web UI, and ships with 21 penetration skills, 29 crypto/encoding operations, a vulnerability detection plugin system, and Docker support for containerized deployment.