Automatic Static Unpacking of Malware Binaries
Source: University of Arizona
Current malware is often transmitted in packed or encrypted form to prevent examination by anti-virus software. To analyze new malware, researchers typically resort to dynamic code analysis techniques to unpack the code for examination. Unfortunately, these dynamic techniques are susceptible to a variety of anti-monitoring defenses, as well as "Time bombs" or "Logic bombs," and can be slow and tedious to identify and disable. This paper discusses an alternative approach that relies on static analysis techniques to automate this process. Alias analysis can be used to identify the existence of unpacking, static slicing can identify the unpacking code, and control flow analysis can be used to identify and neutralize dynamic defenses.