What I learned from my first AI-assisted bug bounty submissions
The article discusses the author's experiences with AI-assisted bug bounty submissions. It highlights the challenges of ensuring novelty in submissions and the importance of verifying vulnerabilities against actual runtimes. The author also notes changes in the open-source bounty landscape that have affected the submission process.
- ▪The biggest risk in bug bounty submissions is the possibility of duplicates, which are often invisible until disclosed.
- ▪A proof of concept must be runnable against the actual runtime to avoid false positives.
- ▪Modern bounty platforms limit submissions, making quality more important than quantity.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3927433) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } shunta hayashi Posted on May 29 What I learned from my first AI-assisted bug bounty submissions #security #ai #bugbounty #opensource Third post in my "AI-assisted OSS contribution" series. The first two were about pre-fork due diligence and shipping a fix to ONNX with my own PR scanner. This one is about a harder game: security research and coordinated disclosure.
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