Abstract. Malware attacks identification can be reduced to a problem of assigning a file under suspicion to a known malware family. Malware categorization into families requires the use of analysis and classification techniques. Recent research work show that texture analysis has been successfully applied technique for malware classification, because it is a fast, OS-agnostic approach, and achieves comparable results (in some cases more accurate) to traditional classification methods. In this paper, we present a study of different classification techniques based on texture analysis for malware assignment into families, as well as a discussion of their results.