bug-bounty

You can automate end-to-end bug bounty workflows by running structured phases for recon, learning, hunting, validation, and reporting. This enforces a rigorous methodology with threat modeling and the 7-Question Gate to standardize findings across web, API, and cloud targets.

The best way to structure vulnerability reports is using standardized templates that include evidence collection, reproducible steps, and risk scoring. This approach ensures your findings are presentation-ready and backed by rigorous validation.

You can chain vulnerabilities by applying A->B and B->C chaining techniques to extend initial findings into higher-impact disclosures. This process is supported by learning from disclosed reports and threat modeling notes to identify common attack chains.

Yes, you can use automated threat modeling for web, API, and cloud pentesting. The workflow guides researchers through scoped reconnaissance and asset discovery, applying threat modeling to identify vulnerability patterns across these target types.

The 7-Question Gate works as a built-in guardrail during vulnerability validation to enforce a rigorous methodology. It ensures that findings are properly verified through evidence collection and reproducible steps before moving to the reporting phase.

No, you do not need to manually enumerate assets before starting a bug bounty hunt. You can load a target and kick off reconnaissance to automatically enumerate assets and identify potential vulnerabilities across the defined scope.