business-logic-vulnerabilities

Business logic vulnerabilities in payment flows are identified by applying a five-phase methodology that models workflows, analyzes state machines, maps attack surfaces, and performs checklist-driven testing to uncover flaws invisible to automated scanners.

Testing for IDOR and race conditions in multi-step workflows involves using an attack surface matrix to classify vulnerability patterns and executing reproducible checklist-based steps like parameter tampering and replay attacks to validate real-world security flaws.

The best way to structure bug bounty reports for business logic flaws is to provide reproducible findings with concrete attack patterns, detailed scenarios, and suitable mitigations derived from a structured checklist-driven security testing methodology.

Yes, you can use this methodology to assess RBAC and password recovery modules. The attack surface matrix categorizes vulnerability patterns across modular business flows including registration, login, password reset, payments, discounts, privacy, and RBAC.

Automated scanners miss business logic vulnerabilities because these flaws require human reasoning to uncover. They often hide within multi-step workflows and payment flows, requiring state-machine analysis and expert judgment to model and reproduce real-world flaws.