PUP.MSIL.Brute.AAP
Table of Contents
Analysis Report
General information
| Family Name: | PUP.MSIL.Brute.AAP |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
1bdc7cfcf9f4b99c675374f37501a222
SHA1:
708ec351f90647f6cb343b39527b1f0b9351f01c
SHA256:
E28E01344941B669763C7648C2F1A1788C54CF4FBFCB6070ADB4694EF59E27DE
File Size:
2.24 MB, 2237952 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have exports table
- File doesn't have security information
- File is .NET application
- File is 32-bit executable
- File is either console or GUI application
- File is GUI application (IMAGE_SUBSYSTEM_WINDOWS_GUI)
- File is not packed
- IMAGE_FILE_DLL is not set inside PE header (Executable)
- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
File Traits
- .NET
- HighEntropy
- No Version Info
- x86
Block Information
Block Information
During analysis, EnigmaSoft breaks file samples into logical blocks for classification and comparison with other samples. Blocks can be used to generate malware detection rules and to group file samples into families based on shared source code, functionality and other distinguishing attributes and characteristics. This section lists a summary of this block data, as well as its classification by EnigmaSoft. A visual representation of the block data is also displayed, where available.| Total Blocks: | 23 |
|---|---|
| Potentially Malicious Blocks: | 11 |
| Whitelisted Blocks: | 12 |
| Unknown Blocks: | 0 |
Visual Map
x
x
x
x
x
x
x
x
x
0
x
x
0
0
0
0
0
0
0
0
0
0
0
0 - Probable Safe Block
? - Unknown Block
x - Potentially Malicious Block
? - Unknown Block
x - Potentially Malicious Block
Similar Families
Similar Families
This section lists other families that share similarities with this family, based on EnigmaSoft’s analysis. Many malware families are created from the same malware toolkits and use the same packing and encryption techniques but uniquely extend functionality. Similar families may also share source code, attributes, icons, subcomponents, compromised and/or invalid digital signatures, and network characteristics. Researchers leverage these similarities to rapidly and effectively triage file samples and extend malware detection rules.- MSIL.Brute.AAP
