New Attack Can Unmask Anonymous Users on Any Major Browser

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researchers from the New Jersey Institute of Technology are warning this week about a novel technique attackers could use to de-anonymize website visitors and potentially connect the dots on many components of targets’ digital lives.

The findings, which NJIT researchers will present at the Usenix Security Symposium in Boston next month, show how an attacker who tricks someone into loading a malicious website can determine whether that visitor controls a particular public identifier, like an email address or social media account, thus linking the visitor to a piece of potentially personal data. When you visit a website, the page can capture your IP address, but this doesn’t necessarily give the site owner enough information to individually identify you. Instead, the hack analyzes subtle features of a potential target’s browser activity to determine whether they are logged into an account for an array of services, from YouTube and Dropbox to Twitter, Facebook, TikTok, and more. Plus the attacks work against every major browser, including the anonymity-focused Tor Browser.
“If you’re an average internet user, you may not think too much about your privacy when you visit a random website,” says Reza Curtmola, one of the study authors and a computer science professor at NJIT. “But there are certain categories of internet users who may be more significantly impacted by this, like people who organize and participate in political protest, journalists, and people who network with fellow members of their minority group. And what makes these types of attacks dangerous is they’re very stealthy. You just visit the website and you have no idea that you’ve been exposed.” The risk that government-backed hackers and cyber-arms dealers will attempt to de-anonymize web users isn’t just theoretical. Researchers have documented a number of techniques used in the wild and have witnessed situations in which attackers identified individual users, though it wasn’t clear how.
The attack takes advantage of a number of factors most people likely take for granted: Many major services—from YouTube to Dropbox—allow users to host media and embed it on a third-party website. Regular users typically have an account with these ubiquitous services and, crucially, they often stay logged into these platforms on their phones or computers. Finally, these services allow users to restrict access to content uploaded to them. For example, you can set your Dropbox account to privately share a video with one or a handful of other users. Or you can upload a video to Facebook publicly but block certain accounts from viewing it.

These “block” or “allow” relationships are the crux of how the researchers found that they can reveal identities. In the “allow” version of the attack, for instance, hackers might quietly share a photo on Google Drive with a Gmail address of potential interest. Then they embed the photo on their malicious web page and lure the target there. When visitors’ browsers attempt to load the photo via Google Drive, the attackers can accurately infer whether a visitor is allowed to access the content—aka, whether they have control of the email address in question. Thanks to the major platforms’ existing privacy protections, the attacker can’t check directly whether the site visitor was able to load the content. But the NJIT researchers realized they could analyze accessible information about the target’s browser and the behavior of their processor as the request is happening to make an inference about whether the content request was allowed or denied.
The technique is known as a “side channel attack” because the researchers found that they could accurately and reliably make this determination by training machine learning algorithms to parse seemingly unrelated data about how the victim’s browser and device process the request. Once the attacker knows that the one user they allowed to view the content has done so (or that the one user they blocked has been blocked) they have de-anonymized the site visitor. Complicated as it may sound, the researchers warn that it would be simple to carry out once attackers have done the prep work. It would only take a couple of seconds to potentially unmask each visitor to the malicious site—and it would be virtually impossible for an unsuspecting user to detect the hack. The researchers developed a browser extension that can thwart such attacks, and it is available for Chrome and Firefox.
 

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