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Shannon is an open-source autonomous AI penetration testing tool that discovers and exploits real vulnerabilities in web applications. It combines white-box source code analysis with black-box dynamic testing through a multi-agent architecture, executing actual exploits via browser automation to prove vulnerabilities are exploitable. The tool achieved 96.15% success on the XBOW benchmark and covers critical OWASP vulnerabilities including injection, XSS, SSRF, and authentication bypass. Available in two editions: Shannon Lite (AGPL-3.0) for security teams and Shannon Pro (commercial) with advanced enterprise features. Requires Docker and Anthropic API credentials, runs autonomously with a single command, and generates pentester-grade reports with reproducible proof-of-concepts.

KeygraphHQ/shannon: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark.

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