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Shannon: Autonomous AI Hacker Achieves 96.15% Success Rate in Web Application Vulnerability Discovery

Shannon, an autonomous AI hacker developed by KeygraphHQ, has demonstrated remarkable capabilities in identifying real vulnerabilities within web applications. The AI achieved an impressive 96.15% success rate in the unprompted, source-code-aware XBOW benchmark. This tool is designed to automatically discover actual vulnerabilities in web applications, as highlighted by its performance on the benchmark.

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Shannon, an innovative project from KeygraphHQ, is an autonomous artificial intelligence hacker designed to discover actual vulnerabilities in web applications. The AI has showcased its effectiveness by achieving a 96.15% success rate in the XBOW benchmark. This benchmark is characterized by being unprompted and source-code-aware, indicating Shannon's ability to operate effectively without explicit instructions and with an understanding of the underlying source code. The project is available on GitHub Trending, suggesting its growing recognition and potential impact in the cybersecurity domain.

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