Trojan.Refog.C
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: | 17,148 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 22 |
| First Seen: | February 12, 2024 |
| Last Seen: | February 2, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Refog.C |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
f1c9083939a3fc6740bb2e5229383466
SHA1:
2b3aafa079f3cd381cae16119a023fbc787f5d84
SHA256:
C3F032CA733A03A48AF90A0BE0ECC7C43825881FE1587E2E60B5D02CBCE51D03
File Size:
74.75 KB, 74752 bytes
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MD5:
c5b940fa13915409ccc1cb48bdb53706
SHA1:
eca2532462b2e323ce62309fac0a70e4dfc695b6
SHA256:
C4A1C6CC53EA77B783B32BD9CA9C3749FCDD3813961A9821FE61308FCAEF74CB
File Size:
74.75 KB, 74752 bytes
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MD5:
309a3d9e46d1a16a68036df8f390b227
SHA1:
0c0acbebd5c4d201c4080e71f32808bec09ab7fb
SHA256:
C084D261AE3A1A86B50DA33C9837ACC25244F3FD47F0538E59934D4D5D68FA1B
File Size:
74.75 KB, 74752 bytes
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MD5:
8edac645fa01ef8c803b5d29d770d672
SHA1:
045cc55c2d79caf9739408c971460ca0017f6c5f
SHA256:
C16182167E4273899FA539EF71B00A4CF6E947B32E7CDB3D2DB8F7F3B061C624
File Size:
74.75 KB, 74752 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have debug information
- File doesn't have exports table
- File doesn't have security 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)
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- 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 |
|---|---|
| File Version |
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| Product Version |
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File Traits
- 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: | 213 |
|---|---|
| Potentially Malicious Blocks: | 12 |
| Whitelisted Blocks: | 201 |
| Unknown Blocks: | 0 |
Visual Map
? - 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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