~/talk

Stealthy fingerprinting users with personalized blocking rules

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Users who enable many custom filter lists become easier to identify because active rules change page behavior in detectable ways. The paper presents scriptless fingerprinting and three concrete exploits including a CSS animation attack that suppresses background image requests and an image lazy-loading attack that shifts images past the viewport, plus iframe and container-style query variants. Evaluation on AdGuard (≈18.5k) and uBlock Origin (≈5.9k) configs shows 16–25% unique reidentification with ~30 tests and stability of fingerprints up to three years. Proposed defenses trade off performance and breakage: enabling rules globally or granularly blocking leaking features.

AI-written summary · about

  1. 0:00Introduction and speaker welcome
  2. 1:04Research overview and motivation
  3. 4:43Differences from prior fingerprinting attacks
  4. 8:13CSS animation attack explained
  5. 9:42Image lazy loading attack explained
  6. 12:12Evaluation and anonymity reduction
  7. 18:28Mitigation strategies and trade-offs
  8. 23:16Takeaways and recommendations
  9. 23:38Q&A session part 1
  10. 28:33Q&A session part 2
  11. 33:00Q&A session part 3
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