First, a fake ad on torrent listings linked the site to a Latvian bank account, an e-mail address, and a Facebook page.Agents were then able to legally gain a copy of the servers access logs (explaining why it was federal authorities in Chicago that eventually charged Vaulin with his alleged crimes).
![]() My Name Is Joe Torrent Kat Kickass Cr Torrent Listings LinkedA WHOIS search can provide the name, address, email and phone number of a website registrant. In the case of kickasstorrents.biz, that was Artem Vaulin from Kharkiv, Ukraine. Its this Apple account that appears to tie all of pieces of Vaulins alleged involvement together. The logs show that the same IP address was used on the same day to access the KAT Facebook page. After KAT began accepting Bitcoin donations in 2012, 72,767 was moved into a Coinbase account in Vaulins name. That Bitcoin wallet was registered with the same me.com email address. However, Tor does not protect against the exploitation of an insecure application to reveal the IP address of, or trace, a TCP stream. In addition, because of the linkability of Tor streams sent together over a single circuit, tracing one stream sent over a circuit traces them all. Surprisingly, it is unknown whether this linkability allows in practice to trace a significant number of streams originating from secure (i.e., proxied) applications. In particular, we traced 9 of Tor streams carried by our instrumented exit nodes. My Name Is Joe Torrent Kat Kickass Cr Torrent As TheUsing BitTorrent as the insecure application, we design two attacks tracing BitTorrent users on Tor. We run these attacks in the wild for 23 days and reveal 10,000 IP addresses of Tor users. Using these IP addresses, we then profile not only the BitTorrent downloads but also the websites visited per country of origin of Tor users. ![]() By analyzing the type of content downloaded, we then explain the observed behaviors by the higher concentration of pornographic content downloaded at the scale of a country. Finally, we present results suggesting the existence of an underground BitTorrent ecosystem on Tor. They found that over the course of weeks, groups of users formed communities where each member consistently connected with other community members more than with users outside the community. After identifying this community behavior, the researchers showed that an eavesdropper could classify users into specific communities using a relatively small number of observation points. Indeed, a savvy attacker can correctly extract communities more than 85 percent of the time by observing only 0.01 percent of the total users. Worse yet, this information could be used to launch a guilt-by-association attack, where an attacker need only determine the downloading behavior of one user in the community to convincingly argue that all users in the communities are doing the same. They showed that this approach causes an eavesdroppers classification to be wrong the majority of the time, providing users with grounds to claim plausible deniability if accused. When it finds torrents, it connects to each torrent with manipulated clients.
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