What problem does it solve? Security researchers need a systematic way to determine whether a target server actually establishes the claimed identity before granting access, rather than guessing at authentication flaws or filing false-positive reports. ## Core Features & Use Cases - Authentication State Modeling: Maps states and transitions (anonymous, OTP-pending, fully authenticated) and tests one illegal edge at a time with two disposable accounts. - Targeted Test Recipes: Covers OTP leakage, pre-2FA session promotion, trusted-device binding after identity change, OAuth trust parameter tampering, null components in composite bot credentials, and missing middleware on private routes. - Negative Controls & Version Boundaries: Applies a 12-category stop-condition taxonomy with real HackerOne report anchors, plus OSV/GHSA version tables for JWT, SAML, and OAuth libraries to filter already-fixed flaws. - Use Case: During an authorized bug-bounty engagement, you find a session cookie issued before OTP completion; use this Skill to test whether removing one cookie still grants access to protected endpoints, then validate the result against the false-positive checklist before reporting. ## Quick Start Ask the AI to hunt for authentication bypass on the in-scope target's OTP and OAuth flows using two controlled test accounts.