Shaoqi Jiang (Concordia University), Mohammad Mannan (Concordia University)

The availability of modern proxy tools has enabled more detailed analysis of application-layer traffic. Existing research has shown that open-source tools like mitmproxy are effective in observing the inner content of on-the-fly traffic, especially in HTTP and HTTPS requests. However, with HTTP/3 being increasingly adopted in both apps and web services, new challenges are posed because QUIC, the foundational protocol for HTTP/3, lacks full support in widely-used open-source mitm-proxy versions, which significantly hinders comprehensive research on HTTP/3 traffic within mobile applications. To address this limitation, we develop QuicMitm, a specialized QUIC man-in-the-middle proxy. Our proxy can observe plaintext HTTP/3 based on QUIC and handle HTTP requests from Android mobile apps. Using QuicMitm, we tested 3,452 popular apps to observe their HTTP/3 traffic. Also, we compared the privacy-related information leakage of HTTP/3 and HTTP/2 in these apps. Our observations provide a glance of the real-world prevalence of QUIC usage across mobile applications. We hope that our tool can assist researchers in conducting large-scale, dedicated measurements and analysis of QUIC-transmitted content.

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Cross-Boundary Mobile Tracking: Exploring Java-to-JavaScript Information Diffusion in WebViews

Sohom Datta (North Carolina State University, USA), Michalis Diamantaris (TTechnical University of Crete, Greece), Ahsan Zafar (North Carolina State University, USA), Junhua Su (North Carolina State University, USA), Anupam Das (North Carolina State University, USA), Jason Polakis (University of Illinois Chicago, USA), Alexandros Kapravelos (North Carolina State University, USA)

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Incident Response Planning Using a Lightweight Large Language Model...

Kim Hammar (Department of Electrical and Electronic Engineering, University of Melbourne, Australia), Tansu Alpcan (Department of Electrical and Electronic Engineering, University of Melbourne, Australia), Emil C. Lupu (Department of Computing, Imperial College London, United Kingdom)

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Targeted Password Guessing Using k-Nearest Neighbors

Zhen Li (Nankai University), Ding Wang (Nankai University)

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