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Divergence Detector: A Fine-Grained Approach to Detecting VM-Awareness Malware
2013
2013 IEEE 7th International Conference on Software Security and Reliability
Virtualized execution has become an effective mechanism to analyze malware in a dynamic way. To conceal its malicious behaviors, VM-aware malware probes the execution environment for analysis-resistance. These malware programs hide their malicious behaviors if they are launched in a virtual machine (VM). VM awareness becomes a barrier for malware analysis due to the concealment of malicious behaviors. In this paper, we discover that uncertain factors have significant influence on the
doi:10.1109/sere.2013.23
dblp:conf/ssiri/HsuFCS13
fatcat:wjuk4wr73facbch7scwsbqjija