Trojan.Agent.GJF
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Agent.GJF |
|---|---|
| Signature status: | Hash Mismatch |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
6c3b2f040f64999275ab8a26291812ee
SHA1:
64e8891651f4ff349a400543104751249b35f678
SHA256:
5207D667422DD8818B27F736D3DD852FB5C3CE393652FC798364F059B7A779FE
File Size:
2.46 MB, 2459672 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have exports table
- File has TLS information
- 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)
- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
File Icons
File Icons
This section displays icon resources found within family samples. Malware often replicates icons commonly associated with legitimate software to mislead users into believing the malware is safe.
Digital Signatures
Digital Signatures
This section lists digital signatures that are attached to samples within this family. When analyzing and verifying digital signatures, it is important to confirm that the signature’s root authority is a well-known and trustworthy entity and that the status of the signature is good. Malware is often signed with non-trustworthy “Self Signed” digital signatures (which can be easily created by a malware author with no verification). Malware may also be signed by legitimate signatures that have an invalid status, and by signatures from questionable root authorities with fake or misleading “Signer” names.| Signer | Root | Status |
|---|---|---|
| Hong Kong Sunstar Technology Co., Limited | GlobalSign Root CA | Hash Mismatch |
File Traits
- HighEntropy
- No Version Info
- ntdll
- 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: | 5,520 |
|---|---|
| Potentially Malicious Blocks: | 488 |
| Whitelisted Blocks: | 5,032 |
| Unknown Blocks: | 0 |
Visual Map
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Data truncated
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? - 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 |
Show More
|
| Cert Store Read |
|
| Network Winsock2 |
|
| Network Winsock |
|
