Abstract:Browser fingerprinting defenses have historically focused on detecting JavaScript(JS)-based tracking techniques. However, the widespread adoption of WebAssembly (WASM) introduces a potential blind spot, as adversaries can convert JS to WASM's low-level binary format to obfuscate malicious logic. This paper presents the first systematic evaluation of how such WASM-based obfuscation impacts the robustness of modern fingerprinting defenses. We develop an automated pipeline that translates real-world JS fingerprinting scripts into functional WASM-obfuscated variants and test them against two classes of defenses: state-of-the-art detectors in research literature and commercial, in-browser tools. Our findings reveal a notable divergence: detectors proposed in the research literature that rely on feature-based analysis of source code show moderate vulnerability, stemming from outdated datasets or a lack of WASM compatibility. In contrast, defenses such as browser extensions and native browser features remained completely effective, as their API-level interception is agnostic to the script's underlying implementation. These results highlight a gap between academic and practical defense strategies and offer insights into strengthening detection approaches against WASM-based obfuscation, while also revealing opportunities for more evasive techniques in future attacks.
From: A H M Nazmus Sakib [view email]
[v1]
Thu, 28 Aug 2025 21:21:51 UTC (375 KB)
[v2]
Tue, 11 Aug 2026 23:20:26 UTC (614 KB)
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