Tongwei Ren (Worcester Polytechnic Institute), Alexander Wittmany (University of Kansas), Lorenzo De Carli (Worcester Polytechnic Institute), Drew Davidsony (University of Kansas)

DNS CNAME redirections, which can “steer” browser requests towards a domain different than the one in the request’s URI, are a simple and oftentimes effective means to obscure the source of a web object behind an alias. These redirections can be used to make third-party content appear as first-party content. The practice of evading browser security mechanisms through misuse of CNAMEs, referred to as CNAME cloaking, has been recently growing in popularity among advertisers/trackers to bypass blocklists and privacy policies.

While CNAME cloaking has been reported in past measurement studies, its impact on browser cookie policies has not been analyzed. We close this gap by presenting an in-depth characterization of how CNAME redirections affect cookie propagation. Our analysis uses two distinct data collection samples (June and December 2020). Beyond confirming that CNAME cloaking continues to be popular, our analysis identifies a number of websites transmitting sensitive cookies to cloaked third-parties, thus breaking browser cookie policies. Manual review of such cases identifies exfiltration of authentication cookies to advertising/tracking domains, which raises serious security concerns.

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To Err.Is Human: Characterizing the Threat of Unintended URLs...

Beliz Kaleli (Boston University), Brian Kondracki (Stony Brook University), Manuel Egele (Boston University), Nick Nikiforakis (Stony Brook University), Gianluca Stringhini (Boston University)

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Understanding the Growth and Security Considerations of ECS

Athanasios Kountouras (Georgia Institute of Technology), Panagiotis Kintis (Georgia Institute of Technology), Athanasios Avgetidis (Georgia Institute of Technology), Thomas Papastergiou (Georgia Institute of Technology), Charles Lever (Georgia Institute of Technology), Michalis Polychronakis (Stony Brook University), Manos Antonakakis (Georgia Institute of Technology)

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SpecTaint: Speculative Taint Analysis for Discovering Spectre Gadgets

Zhenxiao Qi (UC Riverside), Qian Feng (Baidu USA), Yueqiang Cheng (NIO Security Research), Mengjia Yan (MIT), Peng Li (ByteDance), Heng Yin (UC Riverside), Tao Wei (Ant Group)

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FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data

Junjie Liang (The Pennsylvania State University), Wenbo Guo (The Pennsylvania State University), Tongbo Luo (Robinhood), Vasant Honavar (The Pennsylvania State University), Gang Wang (University of Illinois at Urbana-Champaign), Xinyu Xing (The Pennsylvania State University)

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