A bug bounty researcher starts with the feature, not a vulnerability checklist

GitHub researcher @vaib25vicky describes first using a complex feature until its behavior makes sense, then testing ways that behavior could violate security expectations. The interview emphasizes authorization boundaries and overlooked capabilities rather than chasing one fashionable bug category. AI helps with the work, but the researcher insists on personally confirming findings before submitting them.

GitHub · Oct 8, 2026

Why it matters

Engineers can apply the same feature-first thinking when reviewing access controls in their own applications.

More context

Try mapping who can perform each action and what changes across roles before choosing tests. The interview is useful for developers entering authorized bug bounty work and teams assessing AI features. It links GitHub’s program rules and research resources.

Keep in mind

These are one researcher’s practices, not a complete testing methodology or evidence that AI can independently confirm vulnerabilities. Program eligibility, scope and reward decisions remain specific to each bounty program.

Original read