Trojan.Rugmi.GD
Threat Scorecard
EnigmaSoft Threat Scorecard
EnigmaSoft Threat Scorecards are assessment reports for different malware threats which have been collected and analyzed by our research team. EnigmaSoft Threat Scorecards evaluate and rank threats using several metrics including real-world and potential risk factors, trends, frequency, prevalence, and persistence. EnigmaSoft Threat Scorecards are updated regularly based on our research data and metrics and are useful for a wide range of computer users, from end users seeking solutions to remove malware from their systems to security experts analyzing threats.
EnigmaSoft Threat Scorecards display a variety of useful information, including:
Popularity Rank: The ranking of a particular threat in EnigmaSoft’s Threat Database.
Severity Level: The determined severity level of an object, represented numerically, based on our risk modeling process and research, as explained in our Threat Assessment Criteria.
Infected Computers: The number of confirmed and suspected cases of a particular threat detected on infected computers as reported by SpyHunter.
See also Threat Assessment Criteria.
| Popularity Rank: | 179 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 4,560 |
| First Seen: | May 7, 2025 |
| Last Seen: | May 19, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Rugmi.GD |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
69a7fdb8f9f22f166f23920c1cbfd2b3
SHA1:
d872f7b5212188d9ce3300801ed3f7aeb3d003fd
SHA256:
87B2EF3FACBDA2045AAF6A9052F3E1F4EECFEB8EA6B27FBB5FEBEA3C6351BB01
File Size:
3.85 MB, 3845120 bytes
|
|
MD5:
f57afcaed5dabd287d56cd382f447dcb
SHA1:
99d5b3b0b69108415797a14156ef80a1ee291665
SHA256:
DB702D6043B30CCDE040D6E615C0E587E4C7919CE9B64451239CF91413145AA9
File Size:
3.85 MB, 3845120 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have exports table
- File doesn't have resources
- File doesn't have security information
- File has TLS information
- File is 32-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
Show More
- IMAGE_FILE_DLL is not set inside PE header (Executable)
- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
File Traits
- CryptUnprotectData
- fptable
- HighEntropy
- No CryptProtectData
- 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: | 13,816 |
|---|---|
| Potentially Malicious Blocks: | 4,067 |
| Whitelisted Blocks: | 8,695 |
| Unknown Blocks: | 1,054 |
Visual Map
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Data truncated
0 - Probable Safe Block
? - Unknown Block
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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.- Crysteb.BA
- Kryptik.UBWB
- Rugmi.GD
- Stealer.KF
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 |
|---|---|
| Network Winsock2 |
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| Anti Debug |
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| User Data Access |
|
