Shannon demos autonomous pentesting on Juice Shop.
Shannon is an open-source AI pentester from KeygraphHQ that combines code-aware reconnaissance, browser-based exploitation, and structured reporting to validate real web app vulnerabilities. The showcased run on OWASP Juice Shop emphasizes reproducible exploit evidence across classes like XSS, SQL injection, SSRF, and auth/authz flaws, plus practical notes on runtime and model-credit cost.
Shannon’s “no exploit, no report” approach is a meaningful shift from noisy vulnerability scanning toward developer-usable security proof.
- –The project positions itself as continuous pentesting infrastructure for fast-shipping AI-era teams rather than annual manual testing.
- –The Juice Shop artifacts show end-to-end deliverables (analysis, exploitation evidence, queues, and comprehensive report), which makes findings easier to verify and fix.
- –Cost and latency are the main operational constraint for smaller teams, so adoption will likely center on CI checkpoints, high-risk services, or staged pre-release audits.
DISCOVERED
88d ago
2026-03-02
PUBLISHED
88d ago
2026-03-02
RELEVANCE
AUTHOR
Better Stack
