Disclaimer: this project is intended exclusively for authorized testing environments, defensive security research, and educational purposes. It is not designed to facilitate real fraud or unauthorized activity. When a security team wants to assess how robust their fraud detection system actually is, they usually have two options. Run periodic audits. Or wait for something to go wrong. Neither of them is particularly actionable. The Fraud Evasion Penetration Testing Tool was built to fill that gap in a practical way. The goal is to give security assessors a way to simulate realistic evasion attempts against a Random Forest based fraud detection model, read a bypass probability score, and get a report that explains which controls appear vulnerable and why. The project ended up being rich enough to deserve a place in a portfolio. It brings together threat modeling, applied machine learning, software architecture, and web application hardening inside one coherent product.…