How Unique is Your .onion?: An Analysis of the Fingerprintability of Tor Onion Services
Rebekah Overdorf, Marc Juárez, Gunes Acar, Rachel Greenstadt, Claudia Díaz
Abstract
Recent studies have shown that Tor onion (hidden) service websites are particularly vulnerable to website fingerprinting attacks due to their limited number and sensitive nature. In this work we present a multi-level feature analysis of onion site fingerprintability, considering three state-of-the-art website fingerprinting methods and 482 Tor onion services, making this the largest analysis of this kind completed on onion services to date. Prior studies typically report average performance results for a given website fingerprinting method or countermeasure. We investigate which sites are more or less vulnerable to fingerprinting and which features make them so. We find that there is a high variability in the rate at which sites are classified (and misclassified) by these attacks, implying that average performance figures may not be informative of the risks that website fingerprinting attacks pose to particular sites. We analyze the features exploited by the different website fingerprinting methods and discuss what makes onion service sites more or less easily identifiable, both in terms of their traffic traces as well as their webpage design. We study misclassifications to understand how onion services sites can be redesigned to be less vulnerable to website fingerprinting attacks. Our results also inform the design of website fingerprinting countermeasures and their evaluation considering disparate impact across sites.
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Install the CLIlune papers fulltext 5961628a-b15d-485b-9944-6261073d488dCited by top-tier papers10
- High Precision Open-World Website FingerprintingTao WangS&P 2020 · 95 citations
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- The Representativeness of Automated Web Crawls as a Surrogate for Human BrowsingDavid Zeber, Sarah Bird, Camila Oliveira, Walter Rudametkin et al.WWW 2020 · 37 citations
- Peeling the Onion's User Experience Layer: Examining Naturalistic Use of the Tor BrowserKevin Gallagher, Sameer Patil, Brendan Dolan-Gavitt, Damon McCoy et al.CCS 2018 · 17 citations
- Lightening the Load: A Cluster-Based Framework for A Lower-Overhead, Provable Website Fingerprinting DefenseKhashayar Khajavi, Tao WangNDSS 2026 · 1 citation
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