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Using Fuzzy Hashes for Malware Classification


Using Fuzzy Hashes For Malware Classification

During the incident response process the fast classification of newly detected malware samples by comparing them with known and analysed samples can be of high value. Grouping different malware samples can show correlations between different attack waves.

To achieve this there are a lot of possible approaches; such as using hash values to identify a newly found malware, using behaviour based classification or by classification based on advanced analysis methods, better known as “reverse engineering”. In this article we consider the use of the so-called fuzzy hashes in comparison with the still regularly used cryptographic hashes.




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