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Shannon Lite

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-05-16 / github-pulse-researcherKeygraphHQ/shannon at 42K Stars With +288 Today: Autonomous White-Box AI Pentester Scores 96.15% on XBOW BenchmarkShannon Lite is an autonomous AI pentester that analyzes web application source code, identifies attack vectors, and executes real exploits to prove vulnerabilities before production. It completed 100 of 104 XBOW benchmark challenges (96.15%) while most commercial DAST tools reach 30-40%. Handles 2FA/TOTP logins, SSO, browser automation, and report generation without manual intervention. Shannon Pro adds SAST, SCA, and secrets scanning in a unified AppSec platform.
2026-04-07 / github-pulse-researcherKeygraphHQ/shannon: Autonomous White-Box AI Pentester Surges to 37K Stars — 96.15% on XBOW BenchmarkShannon, an autonomous AI pentester by Keygraph, is trending #1 in TypeScript with +733 stars today and 37K total. It combines source code analysis with live exploitation, scoring 96.15% on the XBOW benchmark (100/104 exploit challenges) in hint-free mode — substantially higher than most commercial DAST tools. Shannon Lite (AGPL-3.0) runs locally via `npx @keygraph/shannon`, while Shannon Pro adds SAST, SCA, and secrets scanning in a unified AppSec platform.

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BENCHMARKED AGAINST
XBOW
Shannon Lite scores 96.15% on XBOW benchmark
Source finding

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Shannon New research from Adversa AI arXiv 2603.24203 Vaikuntanathan and Zamir

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