FraudFox VM is a special version of Windows with a heavily modified version of the Firefox browser that runs on VMware's Workstation for Windows or VMware Fusion on OSX. It's for sale on Evolution, the apparent successor to the Silk Road online contraband market, for 1.8 bitcoins, or about $390.
FraudFox VM was created to defeat device recognition, or fingerprinting, which is used in fraud prevention to assess the risk of a device connecting to a business. Web browsers are used to collect data like operating system version, time zone and IP address. Each of these characteristic can be used to assess risk and uncover possible fraud.
So how worried should your business—and customers—be about this new software? I sat down with Scott Waddell the Chief Technology Officer of iovation, the fraud prevention experts, to find out what the reality is behind the media headlines.
- How reliant are banks and financial institutions on this kind of technology to stop fraudulent transactions these days? Is fingerprinting used more for mobile than on desktop?
Banks leverage device reputation solutions with great success in both fraud mitigation and risk-based authentication strategies. Of course, good security is all about layered defenses, so smart banks use these tools as part of a defense-in-depth strategy to avoid over-reliance on any one security technology.
Device recognition is used on all Internet connected devices these days, mobile and desktop alike. Mobile transactions are the fastest growing segment being protected with these tools, but the majority still originate from desktop operating systems.
- Do you think this would be an effective method for cybercriminals to get around those defenses?
Device reputation solutions have evolved along with such tools and continue to provide great uplift in fraud catch in spite of them.
From the reported attributes that FraudFox can change, it would be unable to evade native recognition tools (those embedded in native desktop apps) and it would stumble over transactional similarity scoring on the web that considers more device attributes along with tagged recognition. So the tendency at financial institutions would be to trigger step-up authentication to one-time passwords through out-of-band channels (SMS, mobile app, voice) that FraudFox could not intercept.
- Is possible to fake browser fingerprints manually or using other tools? Does this thing look like a good consolidation of other tools that people might use to defeat fingerprinting?
As previously mentioned, there are other tools and techniques fraudsters use to evade recognition or to try to mimic the devices of their victims. These often stand out from actual browsers in ways that defeat their intended purpose. A couple years ago, the Gozi Prinimalka trojan attempted to duplicate device attributes of compromised systems much as FraudFox VM aims to do. However, its limitations made it ineffective against modern device reputation offerings that evaluate risk and reputation through multiple strategies including link analysis, profiling techniques, velocity rules, proxy and Tor unmasking, device attribute anomalies, and more.
FraudFox VM seems to be relatively limited in its capabilities considering the variety of techniques sophisticated fraud mitigation tools bring to bear.
- Any other thoughts?
It's certainly interesting to see tools like this for sale on Evolution, which appears to be catering to fraudsters and identity thieves. All the more reason for online businesses to take advantage of collaborative technologies that bring the power of community to the fight against the increasingly organized economy of cybercrime.
Fraudsters will always look for new ways to commit cybercrimes. However, a strategic, multi-layered approach to fraud prevention is the best defense.