25-GPU cluster cracks every standard Windows password in <6 hours

http://arstechnica.com/security/2012/12/25-gpu-cluster-cracks-every-standard-windows-password-in-6-hours/

By Dan Goodin Ars Technica Dec 9 2012

A password-cracking expert has unveiled a computer cluster that can cycle through as many as 350 billion guesses per second. It’s an almost unprecedented speed that can try every possible Windows passcode in the typical enterprise in less than six hours.

The five-server system uses a relatively new package of virtualization software that harnesses the power of 25 AMD Radeon graphics cards. It achieves the 350 billion-guess-per-second speed when cracking password hashes generated by the NTLM cryptographic algorithm that Microsoft included in every version of Windows since Server 2003. As a result, it can try an astounding 958 combinations in just 5.5 hours, enough to brute force every possible eight-character password containing upper- and lower-case letters, digits, and symbols. Such password policies are common in many enterprise settings. The same passwords protected by Microsoft’s LM algorithm—which many organizations enable for compatibility with older Windows versions—will fall in just six minutes.

The Linux-based GPU cluster runs the Virtual OpenCL cluster platform, which allows the graphics cards to function as if they were running on a single desktop computer. ocl-Hashcat Plus, a freely available password-cracking suite optimized for GPU computing, runs on top, allowing the machine to tackle at least 44 other algorithms at near-unprecedented speeds. In addition to brute-force attacks, the cluster can bring that speed to cracks that use a variety of other techniques, including dictionary attacks containing millions of words.

“What this cluster means is, we can do all the things we normally would with Hashcat, just at a greatly accelerated rate,” Jeremi Gosney, the founder and CEO of Stricture Consulting Group, wrote in an e-mail to Ars. “We can attack hashes approximately four times faster than we could previously.”

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