Automatic generation of vaccines for malware immunization

  • Authors:
  • Zhaoyan Xu;Jialong Zhang;Guofei Gu;Zhiqiang Lin

  • Affiliations:
  • Texas A&M University, College Station, TX, USA;Texas A&M University, College Station, TX, USA;Texas A&M University, College Station, TX, USA;University of Texas, Dallas, TX, USA

  • Venue:
  • Proceedings of the 2012 ACM conference on Computer and communications security
  • Year:
  • 2012

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Abstract

Inspired by the biological vaccines, we explore the possibility of developing similar vaccines for malware immunization. We provide the first systematic study towards this direction and present a prototype system, AGAMI, for automatic generation of vaccines for malware immunization. With a novel use of several dynamic malware analysis techniques, we show that it is possible to extract a lightweight vaccine from current malware, and after injecting such vaccine on clean machines, they can be immune from future infection from the same malware family. We evaluate AGAMI on a large set of real-world malware samples and successfully extract working vaccines for many families such as Conficker and Zeus. We believe it is an appealing complementary technique to existing malware defense solutions.