What problem does it solve? Security researchers and bug bounty hunters often miss high-impact business logic flaws because they lack a structured methodology for testing payment flows, verification gates, and rate limits beyond standard injection scanning. ## Core Features & Use Cases - Attack Surface Mapping: Identifies crown-jewel targets (checkout flows, payment webhooks, internal portals) via URL patterns, JS bundle analysis, and response header signals. - Step-by-Step Hunting Methodology: Provides a 7-step workflow covering authentication boundary mapping, verification flow testing, rate-limit probing, and in-flight payment tampering with Burp Suite. - Real-World Case Library: Includes 12 disclosed HackerOne reports (Stripe, Reverb, Upserve, Krisp) with payloads, root causes, and bounty amounts for pattern matching. - Use Case: While testing an e-commerce target, use the negative-quantity and price-tampering payload patterns to check whether the server validates cart quantities and re-computes prices server-side before payment capture. ## Quick Start Ask the AI to apply the business logic hunting methodology to map and test the checkout and payment verification flows of your authorized bug bounty target.