An automated crawl of the same 14,895 pages missed 211 of the 471 websites flagged as fingerprinting in sessions by 30 instructed volunteers, about 45%.
Nowhere to Hide: Detecting Obfuscated Fingerprinting Scripts
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
As the web moves away from stateful tracking, browser fingerprinting is becoming more prevalent. Unfortunately, existing approaches to detect browser fingerprinting do not take into account potential evasion tactics such as code obfuscation. To address this gap, we investigate the robustness of a state-of-the-art fingerprinting detection approach against various off-the-shelf obfuscation tools. Overall, we find that the combination of static and dynamic analysis is robust against different types of obfuscation. While some obfuscators are able to induce false negatives in static analysis, dynamic analysis is still able detect these cases. Since obfuscation does not induce significant false positives, the combination of static and dynamic analysis is still able to accurately detect obfuscated fingerprinting scripts.
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Beyond the Crawl: Unmasking Browser Fingerprinting in Real User Interactions
An automated crawl of the same 14,895 pages missed 211 of the 471 websites flagged as fingerprinting in sessions by 30 instructed volunteers, about 45%.