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Autonomous multi-agent pentest framework — plans, exploits, verifies (proof-required), CVSS-scores and writes client-ready reports. 104/104 (100%) on the XBOW validation benchmarks, powered by Kimi K3.
An interactive analytics dashboard designed to visualize the difficulty distribution, vulnerability coverage, and structural diversity of the Xbow benchmark suite.
A reproducible study of LLM penetration-testing agents measuring how model backbone, agent scaffold, backend substrate, and scoring integrity affect exploit success.
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.