When it comes to spotting malware, signature-based detection, heuristics and cloud-based recognition and information sharing used by many antivirus solutions today work well up a certain point, but the polymorphic malware still gives them a run for their money. At the annual AusCert conference held this week in Australia a doctorate candidate from Deakin University in Melbourne has presented the result of his research and work that just might be the solution to this problem. Security researcher Silvio Cesare had noticed that malware code consists of small "structures" that remain the same even after moderate changes to its code. He created Simseer, a free online service that performs automated analysis on submitted malware samples and tells and shows you just how similar they are to other submitted specimens. It scores the similarity between malware (any kind of software, really), and it charts the results and visualizes program relationships as an evolutionary tree.
Read more: Slashdot
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