Yonghao Zou (Beihang University and Peking University), Jia-Ju Bai (Beihang University), Zu-Ming Jiang (ETH Zurich), Ming Zhao (Arizona State University), Diyu Zhou (Peking University)

This paper presents DistFuzz, which, to our knowledge, is the first feedback-guided blackbox fuzzing framework for distributed systems. The novelty of DistFuzz comes from two conceptual contributions on key aspects of distributed system fuzzing: the input space and feedback metrics. Specifically, unlike prior work that focuses on systematically mutating faults, exploiting the request-driven and timing-dependence nature of distributed systems, DistFuzz proposes a multi-dimensional input space by incorporating regular events and relative timing among events as the other two dimensions. Furthermore, observing that important state changes in distributed systems can be indicated by network messages among nodes, DistFuzz utilizes the sequences of network messages with symmetry-based pruning as program feedback, which departs from the conventional wisdom that effective feedback requires code instrumentation/analysis and/or user inputs. DistFuzz finds 52 real bugs in ten popular distributed systems in C/C++, Go, and Java. Among these bugs, 28 have been confirmed by the developers, 20 were unknown before, and 4 have been assigned with CVEs.

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NDSS Symposium 2025 Welcome and Opening Remarks

General Chairs: David Balenson, USC Information Sciences Institute and Heng Yin, University of California, Riverside Program Chairs: Christina Pöpper, New York University Abu Dhabi and Hamed Okhravi, MIT Lincoln Laboratory Artifact Evaluation Chairs: Daniele Cono D’Elia, Sapienza University and Mathy Vanhoef, KU Leuven

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ERW-Radar: An Adaptive Detection System against Evasive Ransomware by...

Lingbo Zhao (Institute of Information Engineering, Chinese Academy of Sciences), Yuhui Zhang (Institute of Information Engineering, Chinese Academy of Sciences), Zhilu Wang (Institute of Information Engineering, Chinese Academy of Sciences), Fengkai Yuan (Institute of Information Engineering, CAS), Rui Hou (Institute of Information Engineering, Chinese Academy of Sciences)

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THEMIS: Regulating Textual Inversion for Personalized Concept Censorship

Yutong Wu (Nanyang Technological University), Jie Zhang (Centre for Frontier AI Research, Agency for Science, Technology and Research (A*STAR), Singapore), Florian Kerschbaum (University of Waterloo), Tianwei Zhang (Nanyang Technological University)

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