github.blogarticleHow one bug bounty researcher chooses the features they investigate
GitHub Bug Bounty spotlight interview with VIP researcher @vaib25vicky, who specializes in authorization and access control findings. They describe a feature-first methodology (deeply explore a feature until something odd surfaces, rather than hunting by bug class), discuss using AI as a productivity aid that still requires manual verification before submission, and note that most high-impact AI-feature bugs reduce to classic authorization issues and weak guardrails. The post also covers GitHub's restructured VIP bounty program (up to $30k+ payouts, invite criteria based on resolved severity counts).
TL;DR GitHub bug bounty VIP researcher explains a feature-first, authorization-focused hunting methodology and cautious AI use.
Organisations named here
- vaib25vicky
Technologies named here
- GitHub
- HackerOne
- GitHub Security Bug Bounty Program
- GitHub Copilot
- Copilot coding agent
Techniques named here
- Authorization and access control research
- Feature-driven vulnerability discovery
- AI-assisted security research
Related in AppSec
github.comadvisoryFlowise MCP Security Bypass Enables RCE
huntress.comwriteupInside an Oracle Database SQL Injection Attack | Huntress
github.comrepoOASIS
blog.trailofbits.comwriteup