Trojan.Agent.GDGI
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Agent.GDGI |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
e0fbc5448af95951b0ed77f476b374a4
SHA1:
11bfe510395eb10beb51d235130da97039d61a71
SHA256:
4301182C0C1991C23F2A32745B870FF69B7BF9DF51D71E807280EE387DC6D276
File Size:
193.02 KB, 193024 bytes
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MD5:
3b5be3f1c3a3a5971c4af0506420b9f2
SHA1:
c2efe694eddd913faaf28ada5246d0465b70178b
SHA256:
23A463187AEF9605C9574B58013B88D6B99460639A273E891E4036E39BB9CA34
File Size:
188.93 KB, 188928 bytes
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Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have debug information
- File doesn't have security information
- File has exports table
- File is 64-bit executable
- File is either console or GUI application
- File is GUI application (IMAGE_SUBSYSTEM_WINDOWS_GUI)
- File is Native application (NOT .NET application)
- File is not packed
- IMAGE_FILE_DLL is not set inside PE header (Executable)
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- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
File Traits
- dll
- x64
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: | 449 |
|---|---|
| Potentially Malicious Blocks: | 33 |
| Whitelisted Blocks: | 414 |
| Unknown Blocks: | 2 |
Visual Map
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0 - Probable Safe Block
? - Unknown Block
x - Potentially Malicious Block
? - Unknown Block
x - Potentially Malicious Block
Windows API Usage
Windows API Usage
This section lists Windows API calls that are used by the samples in this family. Windows API usage analysis is a valuable tool that can help identify malicious activity, such as keylogging, security privilege escalation, data encryption, data exfiltration, interference with antivirus software, and network request manipulation.| Category | API |
|---|---|
| Syscall Use |
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