I ran an autonomous AI pentester on OWASP Juice Shop, on a LOCAL model. 57 real vulns in 28 min.
Article summary
Quick briefing — cleaned from the original RSS feed
Full disclosure up front: I work on Darkmoon, one of the tools below. I have tried to keep this a fair teardown, not an ad. Every number is reproducible. The setup I wanted one honest answer: point an autonomous AI pentester at a target it has never seen, black-box, like a real engagement. What does it actually find? Target: OWASP Juice Shop , the standard public vulnerable app ( docker run -p 3000:3000 bkimminich/juice-shop ). The twist I care about: most AI pentesters ship your traffic and…
1Key Takeaways
- Full disclosure up front: I work on Darkmoon, one of the tools below.
- I have tried to keep this a fair teardown, not an ad.
- The setup I wanted one honest answer: point an autonomous AI pentester at a target it has never seen, black-box, like a real engagement.
- Target: OWASP Juice Shop , the standard public vulnerable app ( docker run -p 3000:3000 bkimminich/juice-shop ).
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that full disclosure up front: I work on Darkmoon, one of the tools below.
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