Web app pentest benchmark: OWASP Juice Shop
Web app pentest benchmark on OWASP Juice Shop: an autonomous AI pentest that escalated from 14 to 57 findings across six black-box campaigns on a local model, with proof of exploitation for every finding. Real results, published and reproducible.
Darkmoon, the open source autonomous AI penetration testing tool, found 57 vulnerabilities on a black-box OWASP Juice Shop in the final campaign, each with a working proof, in 28.5 minutes on a local model.
S.03EscalationSix campaigns on the same target
Re-run weekly against the same OWASP Juice Shop, the autonomous agent found more each time as it learned the target, from 14 findings to 57.
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DisclaimerDarkmoon's own benchmark on the public OWASP Juice Shop lab.
The offensive run is produced by the open source Darkmoon CLI; the web dashboard and the remediation-to-PR loop are paid Pro. The run file and the per-campaign escalation are published in the Darkmoon-Benchmarks repository. Full run file: juice-shop-2026-04-26.md. The offensive run above is the open source CLI. On the same OWASP Juice Shop, the paid Pro remediation engine turned 57 findings into 57 pull requests and demonstrated 42 end to end, with every excluded case disclosed.
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S.07FAQWeb benchmark questions
What is the OWASP Juice Shop autonomous pentest benchmark?
What is the OWASP Juice Shop autonomous pentest benchmark?
It is a web app pentest benchmark where Darkmoon, run autonomously and black-box against a default OWASP Juice Shop image, escalated from 14 findings to 57 across six weekly campaigns on the same target, with proof of exploitation per finding. The final run took 28.5 minutes on a local model.
How many vulnerabilities did the Juice Shop run find?
How many vulnerabilities did the Juice Shop run find?
The final campaign found 57 findings on OWASP Juice Shop, split 8 critical, 24 high, 21 medium and 4 low, each proven individually. Earlier campaigns on the same target found 14, 28, 38, 44 and 49, so the run improves as it learns the target.
Was the web benchmark run on a local model?
Was the web benchmark run on a local model?
Yes. The OWASP Juice Shop run used a local model (Ollama or llama.cpp) through the open source Darkmoon CLI, black-box. The web dashboard and the remediation-to-PR loop are paid Pro capabilities.
Can Darkmoon also fix the findings it proves?
Can Darkmoon also fix the findings it proves?
On the same OWASP Juice Shop target, the paid Pro remediation engine turned 57 findings into 57 pull requests and demonstrated 42 of them end to end (fix, compile, live exploit-retest, human-reviewed PR), with the excluded cases disclosed in full. Nothing is auto-merged.
S.08NextRun the Juice Shop benchmark yourself
Open source, self hosted and local first. Spin up OWASP Juice Shop, point Darkmoon at it, and read every proof. A star helps other teams find it.