Comprehensive Virtual Appliance Detection

Presented at Black Hat Asia 2014, Unknown date/time (Unknown duration)

Our talk is about how to detect virtual appliance environments with script and binary. The purpose of the detection is to evade those defense methods that are based on virtual machines.


  • Xiaoning Li
    Xiaoning Li is a security researcher for a Fortune 50 company. For the past 10 years, his work has been focusing on vulnerability research, new exploit development, malware analysis, and reverse engineering.
  • Kang Li - University of Georgia
    Kang Li is an associate professor at UGA. He graduated with his Ph.D. from Oregon Graduate Institute. Before he joined University of Georgia, he was a research scientist at Georgia Tech. His research interests are in the areas of computer security and operating systems.


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