Technology of Information Security
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2151-2156

Kernel driver vulnerability mining based on fitness and input constraint model

She Gengda
Fu Cai
Cen Zewei
Lyu Jianqiang
Hubei Key Laboratory of Distributed System Security, Hubei Engineering Research Center on Big Data Security, School of Cyber Science & Engineering, Huazhong University of Science & Technology, Wuhan 430074, China

Abstract

In order to solve the problem that the driver is difficult to monitor and input complex during the running process, this paper proposed and implemented a driver fuzzing tool DrgenFuzzer based on the fitness and input constraint model. The tool utilized the kernel tracing technology combined with the static analysis of binary programs to realize the information monitoring of the driver operation, analyzed the driver interface parameters, designed a sample constraint scheme, proposed a new fitness calculation scheme and a crossover mutation scheme. Experiments show that compared with the commonly used kernel fuzzing tools, the test success rate of samples generated by this tool after the input constraint model is more than 10 times that of other tools, and the quality of the generated samples is higher. This tool performed a fuzzy test on the driver and exploits the null pointer reference vulnerability in the i2c driver. DrgenFuzzer can effectively guide and standardize sample generation, improve the success rate and operating efficiency of sample testing, and enhance the vulnerability mining ability.

Foundation Support

国家自然科学基金资助项目(62072200,6217071437)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.11.0772
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 7
Section: Technology of Information Security
Pages: 2151-2156
Serial Number: 1001-3695(2023)07-035-2151-06

Publish History

[2023-02-14] Accepted Paper
[2023-07-05] Printed Article

Cite This Article

佘庚达, 付才, 岑泽威, 等. 基于适应度和输入约束模型的内核驱动漏洞挖掘 [J]. 计算机应用研究, 2023, 40 (7): 2151-2156. (She Gengda, Fu Cai, Cen Zewei, et al. Kernel driver vulnerability mining based on fitness and input constraint model [J]. Application Research of Computers, 2023, 40 (7): 2151-2156. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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