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Detection and Analysis of Tor Onion Services

 
: Steinebach, Martin; Schäfer, Marcel; Karakuz, Alexander; Brandl, Katharina

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Volltext ()

Journal of Cyber Security and Mobility 9 (2020), Nr.1, S.141-173
ISSN: 2245-1439
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
13N14355
Parallelstrukturen, Aktivitätsformen und Nutzerverhalten im Darknet
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
13N14356
Parallelstrukturen, Aktivitätsformen und Nutzerverhalten im Darknet
Englisch
Zeitschriftenaufsatz, Elektronische Publikation
Fraunhofer SIT ()
Tor; Darknet; onion services; analysis

Abstract
Tor onion services can be accessed and hosted anonymously on the Tor network. We analyze the protocols, software types, popularity and uptime of these services by collecting a large amount of .onion addresses. Websites are crawled and clustered based on their respective language. In order to also determine the amount of unique websites a de-duplication approach is implemented. To achieve this, we introduce a modular system for the real-time detection and analysis of onion services. The overall data reveals that a large amount of permanent services provide no actual content for Tor users. A significant part consists instead of bots, services offered via multiple domains, or duplicated websites for phishing attacks. The total amount of onion services is thus significantly smaller than current statistics suggest.

: http://publica.fraunhofer.de/dokumente/N-581168.html