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【05-28】知行融创论坛:Towards Large Language Model Guided Kernel Direct Fuzzing

知行融创论坛-实验室月度学术交流
Speaker: 李勰
Time: 2025年5月28日
Venue: 中国科学院软件园区5号楼三层 334报告厅
Abstract: Direct kernel fuzzing is a targeted approach that focuses on specific areas of the kernel, effectively addressing the challenges of frequent updates and the inherent complexity of operating systems, which are critical infrastructure. This paper introduces SyzAgent, a framework that integrates LLMs with the state-of-the-art kernel fuzzer Syzkaller, where the LLMs are used to guide the mutation and generation of test cases in real-time. We present preliminary results demonstrating that this method is effective on around 67% cases in our benchmark during the experiment.
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