Tag Archives: deanonymization

Hackers Expose Russian FSB Cyberattack Projects

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2019/07/hackers_expose_.html

More nation-state activity in cyberspace, this time from Russia:

Per the different reports in Russian media, the files indicate that SyTech had worked since 2009 on a multitude of projects since 2009 for FSB unit 71330 and for fellow contractor Quantum. Projects include:

  • Nautilus — a project for collecting data about social media users (such as Facebook, MySpace, and LinkedIn).
  • Nautilus-S — a project for deanonymizing Tor traffic with the help of rogue Tor servers.

  • Reward — a project to covertly penetrate P2P networks, like the one used for torrents.

  • Mentor — a project to monitor and search email communications on the servers of Russian companies.

  • Hope — a project to investigate the topology of the Russian internet and how it connects to other countries’ network.

  • Tax-3 — a project for the creation of a closed intranet to store the information of highly-sensitive state figures, judges, and local administration officials, separate from the rest of the state’s IT networks.

BBC Russia, who received the full trove of documents, claims there were other older projects for researching other network protocols such as Jabber (instant messaging), ED2K (eDonkey), and OpenFT (enterprise file transfer).

Other files posted on the Digital Revolution Twitter account claimed that the FSB was also tracking students and pensioners.

Identifying Programmers by their Coding Style

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2018/08/identifying_pro.html

Fascinating research de-anonymizing code — from either source code or compiled code:

Rachel Greenstadt, an associate professor of computer science at Drexel University, and Aylin Caliskan, Greenstadt’s former PhD student and now an assistant professor at George Washington University, have found that code, like other forms of stylistic expression, are not anonymous. At the DefCon hacking conference Friday, the pair will present a number of studies they’ve conducted using machine learning techniques to de-anonymize the authors of code samples. Their work could be useful in a plagiarism dispute, for instance, but it also has privacy implications, especially for the thousands of developers who contribute open source code to the world.

De-Anonymizing Browser History Using Social-Network Data

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2017/02/de-anonymizing_1.html

Interesting research: “De-anonymizing Web Browsing Data with Social Networks“:

Abstract: Can online trackers and network adversaries de-anonymize web browsing data readily available to them? We show — theoretically, via simulation, and through experiments on real user data — that de-identified web browsing histories can\ be linked to social media profiles using only publicly available data. Our approach is based on a simple observation: each person has a distinctive social network, and thus the set of links appearing in one’s feed is unique. Assuming users visit links in their feed with higher probability than a random user, browsing histories contain tell-tale marks of identity. We formalize this intuition by specifying a model of web browsing behavior and then deriving the maximum likelihood estimate of a user’s social profile. We evaluate this strategy on simulated browsing histories, and show that given a history with 30 links originating from Twitter, we can deduce the corresponding Twitter profile more than 50% of the time. To gauge the real-world effectiveness of this approach, we recruited nearly 400 people to donate their web browsing histories, and we were able to correctly identify more than 70% of them. We further show that several online trackers are embedded on sufficiently many websites to carry out this attack with high accuracy. Our theoretical contribution applies to any type of transactional data and is robust to noisy observations, generalizing a wide range of previous de-anonymization attacks. Finally, since our attack attempts to find the correct Twitter profile out of over 300 million candidates, it is — to our knowledge — the largest scale demonstrated de-anonymization to date.

Tracking the Owner of Kickass Torrents

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2016/07/tracking_the_ow.html

Here’s the story of how it was done. First, a fake ad on torrent listings linked the site to a Latvian bank account, an e-mail address, and a Facebook page.

Using basic website-tracking services, Der-Yeghiayan was able to uncover (via a reverse DNS search) the hosts of seven apparent KAT website domains: kickasstorrents.com, kat.cr, kickass.to, kat.ph, kastatic.com, thekat.tv and kickass.cr. This dug up two Chicago IP addresses, which were used as KAT name servers for more than four years. Agents were then able to legally gain a copy of the server’s access logs (explaining why it was federal authorities in Chicago that eventually charged Vaulin with his alleged crimes).

Using similar tools, Homeland Security investigators also performed something called a WHOIS lookup on a domain that redirected people to the main KAT site. A 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.

Der-Yeghiayan was able to link the email address found in the WHOIS lookup to an Apple email address that Vaulin purportedly used to operate KAT. It’s this Apple account that appears to tie all of pieces of Vaulin’s alleged involvement together.

On July 31st 2015, records provided by Apple show that the me.com account was used to purchase something on iTunes. 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 Vaulin’s name. That Bitcoin wallet was registered with the same me.com email address.

Another article.

Anonymization and the Law

Post Syndicated from Bruce Schneier original https://www.schneier.com/blog/archives/2016/07/anonymization_a.html

Interesting paper: “Anonymization and Risk,” by Ira S. Rubinstein and Woodrow Hartzog:

Abstract: Perfect anonymization of data sets has failed. But the process of protecting data subjects in shared information remains integral to privacy practice and policy. While the deidentification debate has been vigorous and productive, there is no clear direction for policy. As a result, the law has been slow to adapt a holistic approach to protecting data subjects when data sets are released to others. Currently, the law is focused on whether an individual can be identified within a given set. We argue that the better locus of data release policy is on the process of minimizing the risk of reidentification and sensitive attribute disclosure. Process-based data release policy, which resembles the law of data security, will help us move past the limitations of focusing on whether data sets have been “anonymized.” It draws upon different tactics to protect the privacy of data subjects, including accurate deidentification rhetoric, contracts prohibiting reidentification and sensitive attribute disclosure, data enclaves, and query-based strategies to match required protections with the level of risk. By focusing on process, data release policy can better balance privacy and utility where nearly all data exchanges carry some risk.