Yubo Du (University of Pittsburgh), Youtao Zhang (University of Pittsburgh), Jun Yang (University of Pittsburgh)

Low-level programming languages like C and C++ offer dynamic memory management capabilities but are vulnerable to Use-After-Free (UAF) vulnerabilities due to improper deallocation handling. These vulnerabilities, arising from accessing memory through dangling pointers, pose significant risks. While various defense mechanisms have been proposed, existing solutions often face challenges such as high performance overhead, excessive memory usage, or inadequate security guarantees, limiting their practicality. Pointer Nullification (PN) has gained attention as a promising UAF mitigation technique by tracking pointers and nullifying them upon buffer deallocation. However, existing PN techniques incur inefficiencies due to precisely associating each pointer with its target buffer, leading to expensive metadata lookups. Moreover, they overlook spatial locality in pointer storage, resulting in a larger number of registrations than necessary. This paper introduces Fast Pointer Nullification (FPN), a new PN-based defense that organizes metadata at the region level to eliminate costly search operations and uses block-based registration to efficiently capture pointer locality. Experiments on SPEC CPU benchmarks and real-world applications demonstrate that FPN provides strong security guarantees while significantly reducing performance and memory overhead compared to prior PN techniques.

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XiangFan Wu (Ocean University of China; QI-ANXIN Technology Research Institute), Lingyun Ying (QI-ANXIN Technology Research Institute), Guoqiang Chen (QI-ANXIN Technology Research Institute), Yacong Gu (Tsinghua University; Tsinghua University-QI-ANXIN Group JCNS), Haipeng Qu (Department of Computer Science and Technology, Ocean University of China)

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ProtocolGuard: Detecting Protocol Non-compliance Bugs via LLM-guided Static Analysis...

Xiangpu Song (School of Cyber Science and Technology, Shandong University), Longjia Pei (School of Cyber Science and Technology, Shandong University), Jianliang Wu (Simon Fraser University), Yingpei Zeng (Hangzhou Dianzi University), Gaoshuo He (School of Cyber Science and Technology, Shandong University), Chaoshun Zuo (Independent Researcher), Xiaofeng Liu (School of Cyber Science and Technology, Shandong University), Qingchuan…

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Decompiling the Synergy: An Empirical Study of Human–LLM Teaming...

Zion Leonahenahe Basque (Arizona State University), Samuele Doria (University of Padua), Ananta Soneji (Arizona State University), Wil Gibbs (Arizona State University), Adam Doupe (Arizona State University), Yan Shoshitaishvili (Arizona State University), Eleonora Losiouk (University of Padua), Ruoyu “Fish” Wang (Arizona State University), Simone Aonzo (EURECOM)

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