Name:
T-Fuzz
Description:
Fuzzing tool and crash analyzer
Professor — Lab:
Mathias PayerHexHive Group

Technical description:
T-Fuzz (transformational fuzzing) improves fuzzing by detecting whenever the fuzzer is stuck and then modifying the underlying program to reach new program locations. This allows fuzzing to discover and test hard to reach code.
Papers:
Project status:
inactive — entered showcase: 2019-03-18 — entry updated: 2024-04-12

Source code:
Lab GitHub - last commit: 2018-12-04
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Application
Programming language:
Python