When analyze files for hidden malware file is detected, digital forensics teams need to analyze the file and determine whether it’s malware. Often, this process involves leveraging an extensive toolkit of malware analysis techniques to identify hidden malicious behavior that could lead to data breaches, unauthorized access or operational shutdowns.
Malware can be analyzed using static or dynamic techniques and is typically conducted in a sandboxed environment. Static analysis doesn’t require executing the file and can include examining files for suspicious indicators, such as hashes, strings or imports. It can also involve comparing the file against historical collections of malware or source code in order to predict how a specific piece of malicious software might behave.
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Dynamic analysis involves executing malware in a sandbox or virtual machine to observe its runtime activities, including network traffic, system calls and file system modifications. It can also include disassembling or decompiling the malware’s code to understand its logic, functions and algorithms. This helps analysts identify concealed functionalities, exploitation methods, encryption details and methods for obfuscation or evasion.
A common technique for evading detection is to pack malware, which obfuscates code and makes it more difficult to analyze. A tool like PeStudio can be used to detect packed malware by measuring the entropy of a file’s contents and comparing it against sources of ground truth, such as VirusTotal. This output can then be ingested into a malware analysis tool such as ProcDOT, which converts it into a visual diagram of recorded malware activity.