Explore a powerful Python library and testing framework called Haptyc, designed to enhance Turbo Intruder's capabilities for web application security testing. Learn how Haptyc introduces user-defined positions, orchestrates battering ram and cluster bomb attacks, and enables mutation of positions using elegant and modular Python code. Discover how to leverage "Haptyc transform tags" as a pseudo-markup for HTTP requests, creating portable and reusable implementations across different requests. Gain insights into developing sophisticated fuzzers using this framework, suitable for both beginner and advanced hackers familiar with Python and Turbo Intruder.
Overview
Syllabus
Haptyc: A Library for Building Microfuzzers in Turbo Intruders | @defparam
Taught by
HackerOne