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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 11
3455-3463

Directional fuzzing based on multi-objective domination analysis and path dynamic pruning optimization

Li Zeyuan
Yin Zhongxu
Zong Guoxiao
Sang Haiya
School of Cyberspace Security, Information Engineering University, Zhengzhou 450001, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0060

Abstract

Current directed fuzzing techniques suffer from a lack of specificity towards individual targets in multi-target testing, limited path diversity when aiming at the same target, and a failure to dynamically adjust distance metrics based on the coverage level of different targets, leading to imbalanced testing and reduced efficiency in environments that integrate static analysis alerts for vulnerability mining. To address these issues, this paper introduced MTDFuzz, a multi-target directed exploration fuzzing technique that identified dominating nodes for targeted traversal. By leveraging test case optimization through multi-objective dominance analysis and a coverage score incentive mechanism, MTDFuzz generated test cases that covered both dominating nodes and targets, enabling diversified and directed exploration of target paths within the constraints of key coverage elements. The technique dynamically pruned paths based on target coverage, excluding thoroughly tested paths and targets from distance metric feedback. Through pruning and global dominating node adjustment, it dynamically tuned the scores of dominating nodes and target basic blocks, optimizing seed scheduling strategies based on dominating node coverage to efficiently allocate multi-target testing resources. Experimental results demonstrate that MTDFuzz significantly reduces the average time to discover vulnerabilities by 57.6% compared to commonly used directed fuzzing tools, and has uncovered 12 0-day vulnerabilities in four open-source programs, including Glibc and FFmpeg, significantly enhancing the multi-target exploration capability and vulnerability mining efficiency of directed fuzzing.

Foundation Support

河南省重点研发资助项目(2211112103007)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0060
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 11
Section: Technology of Information Security
Pages: 3455-3463
Serial Number: 1001-3695(2024)11-037-3455-09

Publish History

[2024-07-10] Accepted Paper
[2024-11-05] Printed Article

Cite This Article

李泽源, 尹中旭, 宗国笑, 等. 基于多目标支配分析和路径动态修剪优化的定向模糊测试技术 [J]. 计算机应用研究, 2024, 41 (11): 3455-3463. (Li Zeyuan, Yin Zhongxu, Zong Guoxiao, et al. Directional fuzzing based on multi-objective domination analysis and path dynamic pruning optimization [J]. Application Research of Computers, 2024, 41 (11): 3455-3463. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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