Malware Detection and Classification

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Pitch for automatic malware detection and classification

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Malware Detection and Classification

  1. 1. ExterminatorThe World without Malware<br />
  2. 2. Opportunity!<br />Malware damage costs businesses worldwide over $13.3 billion annually. An analyst needs 20 to 30 minutes to manually inspect anew malware sample. The current approach is clearly not keeping up with the increase in malware counts. <br />
  3. 3. Weaknesses of Commercial Tools<br /><ul><li>Requires human analysts</li></ul>Detection<br />Classification<br />Signature Extraction<br /><ul><li>Brittle and easy to circumvent by code obfuscation</li></ul>Exterminator automates the entire process, and is robust in the presence of code obfuscation.<br />
  4. 4. Exterminator<br />malware<br />Answers to two questions:<br />Is it malware?<br />What type of malware?<br />Exterminator:<br />Automatic malware detection and classification<br />goodware<br />
  5. 5. Research Prototype Results<br />Achieves 80% accuracy on detecting polymorphic malware<br />Very crude preliminary research prototype<br />Current refinement work will push accuracy much further<br />Classifies previously unseen malware samples into families with high certainty<br />
  6. 6. Malware Classification<br />

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