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Malware analysis has evolved in both the sophistication of the samples analyzed and the tools of the trade. Unfortunately human analysis of samples is still very expensive and time consuming. As teams of malware analysts have grown larger, the duplication of effort in analyzing similar pieces of code has also grown. The goal of this paper is to outline a simple framework that could be used to help remedy this situation, ultimately saving time and money for organizations performing malware analysis.
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