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Hunting for metamorphic engines

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Abstract

In this paper, we analyze several metamorphic virus generators. We define a similarity index and use it to precisely quantify the degree of metamorphism that each generator produces. Then we present a detector based on hidden Markov models and we consider a simpler detection method based on our similarity index. Both of these techniques detect all of the metamorphic viruses in our test set with extremely high accuracy. In addition, we show that popular commercial virus scanners do not detect the highly metamorphic virus variants in our test set.

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Authors and Affiliations

  1. Department of Computer Science, San José State University, San José, CA, USA

    Wing Wong & Mark Stamp

Authors
  1. Wing Wong
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  2. Mark Stamp
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Correspondence to Mark Stamp.

Additional information

A talk based on the results in this paper was presented by the authors at Defcon 14, August 5, 2006, Las Vegas, Nevada.

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Wong, W., Stamp, M. Hunting for metamorphic engines. J Comput Virol 2, 211–229 (2006). https://doi.org/10.1007/s11416-006-0028-7

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  • DOI: https://doi.org/10.1007/s11416-006-0028-7

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