Skill UI

This comprehensive guide details the use of FFUF, a fast web fuzzer written in Go. It is designed for advanced security penetration testing, providing techniques for content discovery, subdomain enumeration, parameter fuzzing, and POST data testing. Learn to master the FUZZ keyword, advanced filtering, and auto-calibration to efficiently identify hidden paths and potential vulnerabilities in web applications.

A comprehensive methodology for discovering potential software vulnerabilities. It outlines advanced techniques including static analysis, dynamic analysis, fuzzing, taint tracking, and modern attack surface mapping (e.g., kernel, drivers). Ideal for professional code audits, bug bounty hunting, and building robust vulnerability research pipelines.

Provides comprehensive guidelines for achieving high reproducibility and verifiability in academic research submissions, particularly for software analysis, fuzzing, and bug finding. It details the necessity of pinning substrates (like benchmark versions and program SHAs), fixing stochastic parameters (seeds and budgets), and mapping every empirical claim to verifiable evidence to meet stringent academic evaluation criteria.

Performs end-to-end firmware penetration testing on IoT and router images following the OWASP FSTM nine-stage flow: extraction, EMBA static analysis, Firmadyne/QEMU emulation, AFL++ fuzzing and exploitation, for authorized labs only.