AI fuzzing has expanded beyond machine learning to use generative AI and other advanced techniquesto find vulnerabilities in an application or system. Fuzzing has been around for a while, but it’s ...

IoT protocols are a relatively unexplored field compared to most PC-exposed protocols – it’s bothersome to need a whole radio setup before you can tinker on something, and often, for low-level ...

Abstract: Fuzzing is an efficient automated testing technique for discovering vulnerabilities. It generates and feeds random or pseudo-random data to the target system, aiming to trigger potential ...

Abstract: As software applications grow increasingly complex, particularly in their input formats, testing these applications becomes a challenging endeavour. Automated testing techniques, such as ...

WFC is aimed at developers of Web API fuzzers, by providing utilities and library support for tasks that are common for all fuzzers. Currently, we focus on REST APIs. But future versions of WFC will ...

The Problem: Traditional fuzzing targets low-level APIs that attackers rarely reach directly. Real exploits happen at high-level parsers processing attacker-controlled files, packets, and streams.