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IFSE: Taming Closed-Box Functions in Symbolic Execution via Fuzz Solving

  • East China Normal University
  • Ohio State University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Modern symbolic execution techniques face the challenge of handling closed-box (CB) functions (e.g., system calls, library functions) whose source code is unavailable. One interesting solution in the literature is deferred concretization with fuzz solving. However, no open-source implementation of such techniques exists, and thus it is difficult to evaluate and investigate the effectiveness. In this paper, we present IFSE (Integrating Fuzz Solving into Symbolic Execution), an open-source tool implementing the relevant techniques on top of KLEE to handle the CB functions in symbolic execution. We evaluated IFSE on GNU Coreutils. The results show that IFSE achieves the line and branch code coverage improvement by 28.3% and 12.2% respectively compared to vanilla KLEE. The satisfaction rate of fuzz solver achieves 80.2%, demonstrating its ability to reason CB function related constraints. IFSE is publicly available at https://github.com/ecnusse/ifse and a demonstration video is at https://youtu.be/xMv6-MOlE-I.

源语言英语
主期刊名Proceedings - 2025 IEEE/ACM 47th International Conference on Software Engineering, ICSE-Companion 2025
出版商IEEE Computer Society
37-40
页数4
ISBN(电子版)9798331536831
DOI
出版状态已出版 - 2025
活动47th IEEE/ACM International Conference on Software Engineering, ICSE-Companion 2025 - Ottawa, 加拿大
期限: 27 4月 20253 5月 2025

出版系列

姓名Proceedings - International Conference on Software Engineering
ISSN(印刷版)0270-5257

会议

会议47th IEEE/ACM International Conference on Software Engineering, ICSE-Companion 2025
国家/地区加拿大
Ottawa
时期27/04/253/05/25

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