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Automated Malware Analysis

Author Daniel
 Raygoza
Author email daniel@raygoza.net
Description 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 rememdy this situation, ultimately saving time and money for organizations performing malware analysis.

The author is aware of similar proprietary and commercial products that aim to resolve this issue or similar issues, however he is not aware of any free tools that attempt to reduce redundant analysis.
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Size 52.46kB
Date Thursday 30 July 2009 - 12:01:32
Downloads 1173
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