Double-Edged Shield

Study and attacks on fingerprinting users through customized ad-blocker filter lists.

Fingerprinting study using customized ad-blocker filter lists as an identification vector. Presents three attacks achieving 84% list identification, 0.72-bit entropy fingerprints, and median anonymity sets of 48 users. Provides datasets, reproducibility artifacts, and a honeypage for data collection.