ICS Protocol Fuzzing: Coverage Guided Packet Crack and Generation
Zhengxiong Luo, Feilong Zuo, Yuheng Shen, Xun Jiao, Wanli Chang, Yu Jiang
摘要
Industrial Control System (ICS) protocols play an essential role in building communications among system components. Recently, many severe vulnerabilities, such as Stuxnet and DragonFly, exposed in ICS protocols have affected a wide distribution of devices. Therefore, it is of vital importance to ensure their correctness. However, the vulnerability detection efficiency of traditional techniques such as fuzzing is challenged by the complexity and diversity of the protocols.
In this paper, we propose to equip the traditional protocol fuzzing with coverage-guided packet crack and generation. We collect the coverage information during the testing procedure, save those valuable packets that trigger new path coverage and crack them into pieces, based on which, we can construct higher-quality new packets for further testing. For evaluation, we build Peach * on top of Peach, which is one of the most widely used protocol fuzzers, and conduct experiments on several ICS protocols such as Modbus and DNP3. Results show that, compared with the original Peach, Peach * achieves the same code coverage and bug detection numbers at the speed of 1.2X-25X. It also gains final increase with 8.35%-36.84% more paths within 24 hours and has exposed 9 previously unknown vulnerabilities.
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引用它的顶会 Paper9
- TCP-Fuzz: Detecting Memory and Semantic Bugs in TCP Stacks with FuzzingYonghao Zou, Jia-Ju Bai, Jielong Zhou, Jianfeng Tan 等USENIX ATC 2021 · 被引用 53 次
- Unicorn: detect runtime errors in time-series databases with hybrid input synthesisZhiyong Wu, Jie Liang, Mingzhe Wang, Chijin Zhou 等ISSTA 2022 · 被引用 16 次
- Logos: Log Guided Fuzzing for Protocol ImplementationsFeifan Wu, Zhengxiong Luo, Yanyang Zhao, Qingpeng Du 等ISSTA 2024 · 被引用 13 次
- SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous VehiclesJunze Yu, Zhengxiong Luo, Fangshangyuan Xia, Yanyang Zhao 等DAC 2024 · 被引用 11 次
- DynPRE: Protocol Reverse Engineering via Dynamic InferenceZhengxiong Luo, Kai Liang, Yanyang Zhao, Feifan Wu 等NDSS 2024
它引用的顶会 Paper2
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