Nuno Sabino (Carnegie Mellon University, Instituto Superior Técnico, Universidade de Lisboa, and Instituto de Telecomunicações), Darion Cassel (Carnegie Mellon University), Rui Abreu (Universidade do Porto, INESC-ID), Pedro Adão (Instituto Superior Técnico, Universidade de Lisboa, and Instituto de Telecomunicações), Lujo Bauer (Carnegie Mellon University), Limin Jia (Carnegie Mellon University)

DOM-based cross-site scripting (DOM-XSS) is a prevalent form of web vulnerability. Prior work on automated detection and confirmation of such vulnerabilities at scale has several limitations. First, prior work does not interact with the page and thus misses vulnerabilities in event handlers whose execution depends on user actions. Second, prior work does not find URL components, such as GET parameters and fragment values that, when instantiated with specific keys/values, execute more code paths. To address this, we introduce SWIPE, a DOM-XSS analysis infrastructure that uses fuzzing to generate user interactions to trigger event handlers and leverages dynamic symbolic execution (DSE) to automatically synthesize URL parameters and fragments. We run SWIPE on 44,480 URLs found in pages from the Tranco top 30,000 popular domains. Compared to prior work, SWIPE’s fuzzer finds 15% more vulnerabilities. Additionally, we find that a lack of parameters and fragments in URLs significantly hinders DOM-XSS detection, and show that SWIPE’s DSE engine can synthesize previously unseen URL parameters and fragments that trigger 20 new vulnerabilities.

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Limitless Scalability: A High-Throughput and Replica-Agnostic BFT Consensus

Chenyu Zhang (Tianjin University), Xiulong Liu (Tianjin University), Hao Xu (Tianjin University), Haochen Ren (Tianjin University), Muhammad Shahzad (North Carolina State University), Guyue Liu (Peking University), Keqiu Li (Tianjin University)

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Temporal Risk on Satellites

Shiqi Liu (George Mason University), Kun Sun (George Mason University)

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BKPIR: Keyword PIR for Private Boolean Retrieval

Jie Song (Institute of Information Engineering, Chinese Academy of Sciences; Intelligent Policing Key Laboratory of Sichuan Province, Sichuan Police College; School of Cyber Security, University of Chinese Academy of Sciences), Zhen Xu (Institute of Information Engineering, Chinese Academy of Sciences), Yan Zhang (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University…

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