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Research on traffic-correlation attacks against Tor, including the use of machine learning and netflow-based pipelines to deanonymize users.
Traffic-correlation (end-to-end) and boundary-monitoring attacks identify who is communicating through Tor by statistically matching traffic patterns observed near the client (entry) and near the dest...
Exit (egress) nodes are the Tor network’s interface with the open internet and therefore can observe and manipulate traffic destined for clearnet services, while Tor “onion” or hidden services avoid t...
Timing and traffic-correlation attacks have been repeatedly demonstrated in research and used in practice to de‑anonymize Tor users when adversaries can observe or influence both ends of flows, with r...