Trojan.Rugmi.GH
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Rugmi.GH |
|---|---|
| Signature status: | Hash Mismatch |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
28211baec03315d5850d410457409bc7
SHA1:
440cc44805ee31158ebb75590702aa066b6fb474
SHA256:
5D0A0F995B1A5C41579AB8B1846C6BE93744A2B697B4D31FF5FEF637FD60FCD2
File Size:
5.62 MB, 5619784 bytes
|
|
MD5:
5cc7001ec0773424556a59e0d9ca9f47
SHA1:
278fa8b0c77444fc901ad2c424f71b42d63e6b7b
SHA256:
F341623BD5E18E69F4699B5194DE8F00528786C7C4153A24D2D68790E679C37E
File Size:
4.53 MB, 4532496 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File has exports table
- File has TLS information
- File is 64-bit executable
- File is console application (IMAGE_SUBSYSTEM_WINDOWS_CUI)
- File is either console or GUI application
- 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)
Windows PE Version Information
Windows PE Version Information
This section displays values and attributes that have been set in the Windows file version information data structure for samples within this family. To mislead users, malware actors often add fake version information mimicking legitimate software.| Name | Value |
|---|---|
| Company Name |
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| File Description |
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| File Version |
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| Internal Name |
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| Legal Copyright |
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| Original Filename |
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| Product Name |
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| Product Version |
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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 |
|---|---|---|
| Tenorshare Co., Ltd. | DigiCert Trusted G4 Code Signing RSA4096 SHA384 2021 CA1 | Hash Mismatch |
| Tenorshare Co., Ltd. | DigiCert Trusted Root G4 | Hash Mismatch |
| Microsoft Corporation | Microsoft Code Signing PCA | Hash Mismatch |
| Microsoft Corporation | Microsoft Code Signing PCA 2011 | Hash Mismatch |
File Traits
- dll
- HighEntropy
- 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: | 7,835 |
|---|---|
| Potentially Malicious Blocks: | 479 |
| Whitelisted Blocks: | 7,356 |
| Unknown Blocks: | 0 |
Visual Map
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Data truncated
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.- Agent.XSKA
- Rugmi.GH
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
|
