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KeygraphHQAI pentester autonomously finds and exploits web app vulnerabilities
Top 11.4% on SourcePulse
Shannon is an AI-powered penetration testing tool designed to autonomously discover and exploit vulnerabilities in web applications. It addresses the critical security gap between infrequent manual penetration tests by providing continuous, on-demand white-box analysis. This allows development teams to identify and fix exploitable flaws before deployment, enabling them to ship code with greater confidence and security.
How It Works
Shannon emulates a human penetration tester using a sophisticated multi-agent architecture. It combines deep white-box source code analysis with black-box dynamic exploitation across four distinct phases: reconnaissance, vulnerability analysis, exploitation, and reporting. Specialized AI agents analyze the application's codebase and infrastructure, then perform live, browser-based attacks to confirm hypothesized vulnerabilities with concrete proof-of-concept exploits, minimizing false positives.
Quick Start & Requirements
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Maintenance & Community
Licensing & Compatibility
Limitations & Caveats
Shannon is strictly white-box and requires source code access. Its exploitation agents actively modify targets, making it unsuitable for production environments. While engineered to minimize false positives, human oversight is recommended for LLM-generated reports. Shannon Lite focuses on actively exploitable vulnerabilities and may not cover all security risks, such as vulnerable third-party libraries; Shannon Pro offers more comprehensive analysis. A full run can take 1-1.5 hours and incur costs (~$50 USD with Claude 4.5 Sonnet).
1 week ago
Inactive
merrymercy
Shengjia Zhao(Chief Scientist at Meta Superintelligence Lab),
google
grahamjenson
ThilinaRajapakse
google-research
triton-inference-server
tensorflow
visenger