Name:
datAFLow
Description:
Data-flow based fuzzing
Professor — Lab:
Mathias PayerHexHive Group

Technical description:
DatAFLow is a fuzzer built on top of AFL++. However, instead of a control-flow-based feedback mechanism, it uses a data-flow-based feedback mechanism; specifically, data flows based on def-use associations.
Reports:
Project status:
inactive — entered showcase: 2022-07-05 — entry updated: 2024-04-12

Source code:
Lab GitHub - last commit: 2023-02-01
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:
Toolset
Programming language:
C++
License:
Apache-2.0