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Hardware Fingerprinting Using HTML5

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arxiv 1503.01408 v3 pith:BFHOSEEQ submitted 2015-03-04 cs.CR

classification cs.CR
keywords devicefeaturesfingerprintfingerprintinghardwarehtml5muchallow
verification ladder T0 review T1 audit T2 compute T3 formal
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Device fingerprinting over the web has received much attention both by the research community and the commercial market a like. Almost all the fingerprinting features proposed to date depend on software run on the device. All of these features can be changed by the user, thereby thwarting the device's fingerprint. In this position paper we argue that the recent emergence of the HTML5 standard gives rise to a new class of fingerprinting features that are based on the \emph{hardware} of the device. Such features are much harder to mask or change thus provide a higher degree of confidence in the fingerprint. We propose several possible fingerprint methods that allow a HTML5 web application to identify a device's hardware. We also present an initial experiment to fingerprint a device's GPU.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. The WASM Cloak: Evaluating Browser Fingerprinting Defenses Under WebAssembly based Obfuscation

    cs.CR 2025-08 conditional novelty 6.0 of 10

    WebAssembly-obfuscated fingerprinting scripts evade some academic detectors but not API-level browser defenses.

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