Pinji Chen (Tsinghua University), Jianjun Chen (Tsinghua University & Zhongguancun Laboratory), Mingming Zhang (Zhongguancun Laboratory), Qi Wang (Tsinghua University), Yiming Zhang (Tsinghua University), Mingwei Xu (Tsinghua University), Haixin Duan (Tsinghua University)

In this paper, we investigate the security implications of HTTP/2 server push and signed HTTP exchange (SXG) on the Same-Origin Policy (SOP), a fundamental web security mechanism designed to prevent cross-origin attacks. We identify a vulnerability introduced by these features, where the traditional strict SOP origin based on URI is undermined by a more permissive HTTP/2 authority based on the SubjectAlternativeName (SAN) list in the TLS certificate. This relaxation of origin constraints, coupled with the prevalent use of shared certificates among unrelated domains, poses significant security risks, allowing attackers to bypass SOP protections. We introduce two novel attack vectors, CrossPUSH and CrossSXG, which enable an off-path attacker to execute a wide range of cross-origin web attacks, including arbitrary cross-site scripting (XSS), cookie manipulation, and malicious file downloads, across all domains listed in a shared certificate. Our investigation reveals the practicality and prevalence of these threats, with our measurements uncovering vulnerabilities in widely-used web browsers such as Chrome and Edge, and notable websites including Microsoft. We responsibly disclose our findings to affected vendors and receive acknowledgments from Huawei, Baidu, Microsoft, etc.

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Horcrux: Synthesize, Split, Shift and Stay Alive; Preventing Channel...

Anqi Tian (Institute of Software, Chinese Academy of Sciences; School of Computer Science and Technology, University of Chinese Academy of Sciences), Peifang Ni (Institute of Software, Chinese Academy of Sciences; Zhongguancun Laboratory, Beijing, P.R.China), Yingzi Gao (Institute of Software, Chinese Academy of Sciences; University of Chinese Academy of Sciences), Jing Xu (Institute of Software, Chinese…

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VeriBin: Adaptive Verification of Patches at the Binary Level

Hongwei Wu (Purdue University), Jianliang Wu (Simon Fraser University), Ruoyu Wu (Purdue University), Ayushi Sharma (Purdue University), Aravind Machiry (Purdue University), Antonio Bianchi (Purdue University)

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Diffence: Fencing Membership Privacy With Diffusion Models

Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of Massachusetts Amherst)

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