Understanding Server-side Commercial Fingerprinting
Elisa Luo, Tom Ritter, Stefan Savage, Geoffrey M. Voelker
Abstract
Browser fingerprinting is a covert technique for implicitly identifying Web users using combinations of system attributes provided by the browser. However, most studies of fingerprinting have focused on the attributes themselves and how discriminating they might be. In this paper, we explore the discriminatory power of fingerprinting in practice, as seen through the lens of a commercial fingerprinting service. Using grey-box testing of the largest commercial fingerprinting service, we selectively mutate inputs to infer key aspects of their approach. In this way, we empirically characterize the relative importance of attributes, and how they are combined with server-side state about cookies and IP addresses to build a fingerprinting service considerably more robust than pure client-side approaches. CCS Concepts • Information systems → World Wide Web; • Security and privacy → Privacy protections.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Builds on7
- Online Tracking: A 1-million-site Measurement and AnalysisSteven Englehardt, Arvind NarayananCCS 2016 · 798 citations
- Beauty and the Beast: Diverting Modern Web Browsers to Build Unique Browser FingerprintsPierre Laperdrix, Walter Rudametkin, Benoit BaudryS&P 2016 · 279 citations
- Fingerprinting the Fingerprinters: Learning to Detect Browser Fingerprinting BehaviorsUmar Iqbal, Steven Englehardt, Zubair ShafiqS&P 2021 · 143 citations
- FP-STALKER: Tracking Browser Fingerprint EvolutionsAntoine Vastel, Pierre Laperdrix, Walter Rudametkin, Romain RouvoyS&P 2018 · 117 citations
- Don't Count Me Out: On the Relevance of IP Address in the Tracking EcosystemVikas Mishra, Pierre Laperdrix, Antoine Vastel, Walter Rudametkin et al.WWW 2020 · 45 citations
Related papers
- Beyond the Crawl: Unmasking Browser Fingerprinting in Real User InteractionsMeenatchi Sundaram Muthu Selva Annamalai, Emiliano De Cristofaro, Igor BilogrevicWWW 2025 · 4 citations
- Large-Scale Measurement and Real-World Mitigation of Web Browser Fingerprinting in the WildTom Ritter, Fatih Kilic, Frederik Braun, Elisa Luo et al.CCS 2026
- FP-Rainbow: Fingerprint-Based Browser Configuration IdentificationMaxime Huyghe, Walter Rudametkin, Clément QuintonWWW 2025 · 2 citations
- The First Early Evidence of the Use of Browser Fingerprinting for Online TrackingZengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu et al.WWW 2025 · 7 citations
- (Cross-)Browser Fingerprinting via OS and Hardware Level FeaturesYinzhi Cao, Song Li, Erik WijmansNDSS 2017 · 199 citations
