CRMar 10

Measuring onion website discovery and Tor users' interests with honeypots

arXiv:2603.09329v11.6h-index: 4
Predicted impact top 98% in CR · last 90 daysOriginality Incremental advance
AI Analysis

This addresses the problem of understanding real user behavior on anonymous websites for cybersecurity and law enforcement researchers, though it is incremental in its honeypot methodology.

The study measured user discovery and engagement with Tor onion websites using honeypots, finding that most human users originated from the Ahmia search engine and that a CSAM-themed honeypot drew significantly higher engagement than others.

Tor enables anonymous web browsing and access to anonymous onion websites. Prior work has focused on crawling and content analysis rather than on what users actually try to access. Our honeypot approach measures engagement across onion-site categories, revealing behavioral interest rather than inferred popularity. In March--April 2025, we deployed honeypot onion websites and seeded neutral-looking links via three channels -- the Ahmia Tor search engine, Stronghold paste onion "paste" service, and pastebin.com -- to observe discovery and subsequent interaction events (CAPTCHA solves; registration/login attempts). We observe that, almost without exception, human users originate from Ahmia.fi; after removing the honeypot links from the Ahmia.fi search results, visits dropped to nearly zero and no users solved CAPTCHAs. The honeypot landing front pages represent different forums for cybercrime activities -- child sexual abuse, violence, malware, stolen goods, illegal firearms, illegal drugs, and forgery items -- and, as a baseline comparison, an unclear forum. Within that set, the CSAM-themed honeypot drew markedly higher engagement than the other honeypots. When identical sites were offered in multiple languages, interaction events occurred most often on the English-language versions.

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