bug-bounty

A bug bounty workflow guides you through scope verification, subdomain discovery, technology fingerprinting, and validation to produce impact-driven vulnerability reports. It enforces phase-appropriate testing constraints to ensure findings demonstrate real harm before submission.

Validating IDOR and SSRF findings requires passing an impact-first triage gate that proves actual harm rather than theoretical risk. This prevents writing up weak vulnerabilities by enforcing cluster A-to-B chaining protocols and strict validation steps for web and API surfaces.

Testing LLM and AI features involves checking for prompt injection, chat history IDOR, and system prompt extraction risks. The methodology provides specific attack classes for agentic AI and indirect injection to confirm exploitable security gaps.

Source code audits use language-specific grep patterns to identify dangerous sinks and security vulnerabilities across repositories. This approach helps pinpoint exploitable code flaws before dynamic testing during the vulnerability hunting phase.

Chaining vulnerabilities expands from a first confirmed bug signal into adjacent weaknesses using A-to-B chaining protocols. This cluster hunting approach connects multiple low-severity flaws into high-impact exploit chains for larger bug bounty payouts.

Writing accepted bug bounty reports requires human-tone writeups structured by vulnerability class with clear PoC expectations. The process uses submission checklists and validation gates to ensure reports demonstrate real, actionable harm.