Kaihua Wang (Tsinghua University), Jianjun Chen (Tsinghua University), Pinji Chen (Tsinghua University), Jianwei Zhuge (Tsinghua University), Jiaju Bai (Beihang University), Haixin Duan (Tsinghua University)

QUIC is a modern transport protocol increasingly adopted by major platforms and services, making its security and correctness critically important. However, the complexity of QUIC specification and implementations introduces opportunities for subtle and dangerous logic flaws. Existing QUIC testing tools primarily focus on memory-related vulnerabilities and are ill-equipped to detect logical vulnerabilities. Therefore, the discovery of logical vulnerabilities is currently still highly dependent on manual auditing.

In this paper, we introduce MerCuriuzz, a novel black-box fuzzing framework designed to automatically uncover logical vulnerabilities in QUIC implementations. We evaluated MerCuriuzz against 16 widely used QUIC implementations and discovered 14 previously unknown logical vulnerabilities affecting popular implementations such as quiche, xquic, and aioquic. Those vulnerabilities can pose severe security risks, enabling attackers to exhaust server resources, crash services, or deny legitimate users access to the server. We categorize those vulnerabilities into six categories and propose mitigation strategies. We also responsibly disclosed our findings to the affected vendors, and 11 of them were confirmed and rewarded by the vendors, such as Cloudflare and Alibaba Cloud.

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ANONYCALL: Enabling Native Private Calling in Mobile Networks

Hexuan Yu (Virginia Polytechnic Institute and State University), Chaoyu Zhang (Virginia Polytechnic Institute and State University), Yang Xiao (University of Kentucky), Angelos D. Keromytis (Georgia Institute of Technology), Y. Thomas Hou (Virginia Polytechnic Institute and State University), Wenjing Lou (Virginia Polytechnic Institute and State University)

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One Small Patch for a File, One Giant Leap...

Julian Rederlechner (CISPA Helmholtz Center for Information Security), Ulysse Planta (CISPA Helmholtz Center for Information Security), Ali Abbasi (CISPA Helmholtz Center for Information Security)

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Enhancing Semantic-Aware Binary Diffing with High-Confidence Dynamic Instruction Alignment

Chengfeng Ye (The Hong Kong University of Science and Technology, China), Anshunkang Zhou (The Hong Kong University of Science and Technology, China), Charles Zhang (The Hong Kong University of Science and Technology, China)

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