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arXiv:2103.04952cs.CR

Prime+Probe 1, JavaScript 0: Overcoming Browser-based Side-Channel Defenses

Anatoly Shusterman, Ayush Agarwal, Sioli O'Connell, Daniel Genkin, Yossi Oren, Yuval Yarom

Early discovery. Linked by one identifiable commenter. This paper is outside the main ranking; a mention is not an endorsement.

Abstract

The "eternal war in cache" has reached browsers, with multiple cache-based side-channel attacks and countermeasures being suggested. A common approach for countermeasures is to disable or restrict JavaScript features deemed essential for carrying out attacks. To assess the effectiveness of this approach, in this work we seek to identify those JavaScript features which are essential for carrying out a cache-based attack. We develop a sequence of attacks with progressively decreasing dependency on JavaScript features, culminating in the first browser-based side-channel attack which is constructed entirely from Cascading Style Sheets (CSS) and HTML, and works even when script execution is completely blocked. We then show that avoiding JavaScript features makes our techniques architecturally agnostic, resulting in microarchitectural website fingerprinting attacks that work across hardware platforms including Intel Core, AMD Ryzen, Samsung Exynos, and Apple M1 architectures. As a final contribution, we evaluate our techniques in hardened browser environments including the Tor browser, Deter-Fox (Cao el al., CCS 2017), and Chrome Zero (Schwartz et al., NDSS 2018). We confirm that none of these approaches completely defend against our attacks. We further argue that the protections of Chrome Zero need to be more comprehensively applied, and that the performance and user experience of Chrome Zero will be severely degraded if this approach is taken.

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DOI
Subjects
cs.CRCryptography and Security

On Hacker News

Linked by 1 identifiable commenter in 1 comment across 1 thread, from Oct 2021 to Oct 2021. Found in 4 HN submissions from Mar 2021 to Aug 2023. Open submission discussions.

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Discussed in comments1 thread

    • Like others have mentioned here the demo seems to be able to categorize users into certain groups, but it is unclear how useful it is for fingerprinting and track an individual. I would love to see some statistics on it because from the data the demo gathers it seems like it…

      norenhView on HNParent context

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