Demystifying OS Kernel Fuzzing with a Novel Taxonomy

• URL: http://arxiv.org/abs/2501.16165v1
• Date: Mon, 27 Jan 2025 16:03:14 GMT
• Title: Demystifying OS Kernel Fuzzing with a Novel Taxonomy
• Authors: Jiacheng Xu, He Sun, Shihao Jiang, Qinying Wang, Mingming Zhang, Xiang Li, Kaiwen Shen, Peng Cheng, Jiming Chen, Charles Zhang, Shouling Ji,
• Abstract summary: We present the first systematic study dedicated to OS kernel fuzzing. It begins by summarizing the progress of 99 academic studies from top-tier venues between 2017 and 2024. We introduce a stage-based fuzzing model and a novel fuzzing taxonomy that highlights nine core functionalities unique to kernel fuzzing.
• Score: 42.56259589772939
• License:
• Abstract: The Operating System (OS) kernel is foundational in modern computing, especially with the proliferation of diverse computing devices. However, its development also comes with vulnerabilities that can lead to severe security breaches. Kernel fuzzing, a technique used to uncover these vulnerabilities, poses distinct challenges when compared to userspace fuzzing. These include the complexity of configuring the testing environment and addressing the statefulness inherent to both the kernel and the fuzzing process. Despite the significant interest from the security community, a comprehensive understanding of kernel fuzzing remains lacking, hindering further progress in the field. In this paper, we present the first systematic study dedicated to OS kernel fuzzing. It begins by summarizing the progress of 99 academic studies from top-tier venues between 2017 and 2024. Following this, we introduce a stage-based fuzzing model and a novel fuzzing taxonomy that highlights nine core functionalities unique to kernel fuzzing. These functionalities are examined alongside their corresponding methodological approaches based on qualitative evaluation criteria. Our systematization identifies challenges in meeting functionality requirements and proposes potential technical solutions. Finally, we outline promising and practical future directions to guide forthcoming research in kernel security, supported in part by insights derived from our case study.

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