Industry Practice of Directed Kernel Fuzzing for Open-source Linux Distribution

Directed grey-box fuzzing is a widely used automatic testing technique that has helped developers test specific code space in the target program. Although many directed fuzzers are designed to test the Linux kernel, challenges still remain due to the complexity of industrial requirements and deployment environments. In this paper, we collaborate with developers from Alibaba and the OpenAnolis community to conduct an industry practice of directed kernel fuzzing for open-source Linux distribution. We highlight typical challenges in deploying directed kernel fuzzing, including target-related kernel configuration options being disabled, unrelated initial seeds limiting fuzzing startup performance, no support for kernel feature interface fuzzing, independent fuzzer execution limiting fuzzing effectiveness, much manual work to triage and analyze crashes, and hard to integrate into the existing fuzzing framework. We provide solutions to these challenges, which allowed us to discover 11 previously unknown kernel bugs related to cloud-native features, io_uring, and other components in the OpenAnolis Linux distribution.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1145/3691620.3695278
Citations
1
Primary Topic
Software Testing and Debugging Techniques
Type
article
Field-Weighted Citation Impact
0.49
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article

Industry Practice of Directed Kernel Fuzzing for Open-source Linux Distribution

Weibo Zhang, Chao Hu, Qiang Zhang, Yuheng Shen et al.
1 citations
Software Testing and Debugging Techniques
0.49
article

Industry Practice of Directed Kernel Fuzzing for Open-source Linux Distribution

Weibo Zhang, Chao Hu, Qiang Zhang, Yuheng Shen, Yuhan Chen, Xiaohai Shi, Runzhe Wang, Yu Jiang, Heyuan Shi, Chen Shi-jun
article en
1 citations

Abstract

Directed grey-box fuzzing is a widely used automatic testing technique that has helped developers test specific code space in the target program. Although many directed fuzzers are designed to test the Linux kernel, challenges still remain due to the complexity of industrial requirements and deployment environments. In this paper, we collaborate with developers from Alibaba and the OpenAnolis community to conduct an industry practice of directed kernel fuzzing for open-source Linux distribution. We highlight typical challenges in deploying directed kernel fuzzing, including target-related kernel configuration options being disabled, unrelated initial seeds limiting fuzzing startup performance, no support for kernel feature interface fuzzing, independent fuzzer execution limiting fuzzing effectiveness, much manual work to triage and analyze crashes, and hard to integrate into the existing fuzzing framework. We provide solutions to these challenges, which allowed us to discover 11 previously unknown kernel bugs related to cloud-native features, io_uring, and other components in the OpenAnolis Linux distribution.

Central South University (CN), Hunan University (CN), Alibaba Group (China) (CN), Tsinghua University (CN)
Openalex Percentile: Top 30%
Software Testing and Debugging Techniques
0.49
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Industry Practice of Directed Kernel Fuzzing for Open-source Linux Distribution — Weibo Zhang, Chao Hu, et al. · (2024) | TGRS Research Map | TGRS