SyzRisk [ASIA CCS'24] is a change-pattern-based kernel regression fuzzer that prioritizes potentially risky code changes in the recent patch commits.
artifact: Artifact data used in the paper [ASIA CCS'24].framework: All pre-fuzzing components.- Root-cause collection (Linux)
- Pattern creation
- Risk estimation
- Weight calculation
syzkaller: Syzkaller with regression fuzzing support.
- Gwangmu Lee, Duo Xu, Solmaz Salimi, Byoungyoung Lee, and Mathias Payer. 2024. "SyzRisk: A Change-Pattern-Based Continuous Kernel Regression Fuzzer." In ACM ASIA Conference on Computer and Communications Security (ASIA CCS ’24), July 01–05, 2024, Singapore. [paper]
@inproceedings{lee2024syzrisk,
title = {{SyzRisk}: A Change-Pattern-Based Continuous Kernel Regression Fuzzer},
author = {Gwangmu Lee, Duo Xu, Solmaz Salimi, Byoungyoung Lee, and Mathias Payer},
booktitle = {ACM ASIA Conference on Computer and Communications Security (ASIA CCS ’24)},
year = {2024}
}