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arXiv · 2604.04102

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing

Yukai Zhao·Menghan Wu·Xing Hu·Shaohua Wang·Meng Luo·Xin Xia
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Abstract

Developers utilize third-party libraries to improve productivity, which also introduces potential security risks. Existing approaches generate tests for public functions to trigger library vulnerabilities from client programs, yet they depend on proof-of-concepts (PoCs), which are often unavailable. In this paper, we propose a new approach, LiveFuzz, based on directed greybox fuzzing (DGF) to detect the exploitability of library vulnerabilities from client programs without PoCs. LiveFuzz exploits a target tuple to extend existing DGF techniques to cross-program scenarios. Based on the target tuple, LiveFuzz introduces a novel Abstract Path Mapping mechanism to project execution paths, mitigating the preference for shorter paths. LiveFuzz also proposes a risk-based adaptive mutation to mitigate excessive mutation. To evaluate LiveFuzz, we construct a new dataset including 61 cases of library vulnerabilities exploited from client programs. Results show that LiveFuzz increases the number of target-reachable paths compared with all baselines and improves the average speed of vulnerability exposure. Three vulnerabilities are triggered exclusively by LiveFuzz.

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Yukai Zhao, Menghan Wu, Xing Hu, Shaohua Wang, Meng Luo, Xin Xia. 2026-04-05. Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing. https://arxiv.org/abs/2604.04102

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