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We also parse the file directly as text to look at the file encoding, keywords, and strings used to identify the crimeware group. We also look at the memory dump to identify the file locations to determine what payload is being used.
For example, in a recent investigation into a Ransomware campaign, a researcher noticed a marked increase in the file format used by the malware. The file format was used in a majority of the Windows executables and used a 4XX HTTP code. This was a clear sign that the crimeware group was developing their own custom ransomware kit. In this case, we were able to identify the ransomware group after malware analysis using traditional methods. However, this is not always the case.
File extensions like exe, bat, sh, php, pdb, sha1, sha256 are key indicators that determine the type of payload. We look for the one that is the most unique and unusual and that has the highest individual file count. We also look at the filename, the name of the author, the author’s email address, the domain used in the author’s email address, and any comments that include key words related to the crime group or the malware.
It is important to have a tool that can go beyond text strings and be able to recognize specific pieces of information in a payload to identify a crimeware group. This is a key component to identifying the criminal group behind malware.
Crimeware groups employ multiple methods to evade analysis and hide their activities. They constantly change techniques and methods, which makes analysis a difficult task. We have seen that they will use methods such as steganography, encryption and obfuscation within a payload to hide their activities.
One of the drawbacks to this approach was that we needed to recompile every time we made even a small change to the code. This slowed everything else we were doing down and because we couldn't always have someone waiting for the application to finish building. 827ec27edc