Trojan.Mettle.A
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: | 13,503 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 308 |
| First Seen: | August 16, 2021 |
| Last Seen: | March 18, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Mettle.A |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
4a92c6f56447f083a721ec1c05d30925
SHA1:
25becd2c6c56a98431a3a31e8712ca2f705fb83d
SHA256:
18B285BA5D94DF41A462FC068A5B168A29A2F26B7F7BDBCA705119512DF0BFE9
File Size:
1.38 MB, 1383079 bytes
|
|
MD5:
765b3a5c8136a0f4355f5a697cfafca4
SHA1:
6fac4934568834d339933dba3ab6a0decb77f894
SHA256:
60064458239106067545A166DE64710C7BE900AFD30FED08552119B87560E32B
File Size:
1.31 MB, 1305588 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have debug information
- File doesn't have resources
- File doesn't have security information
- 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)
Show More
- 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 Traits
- big overlay
- No Version Info
- VirtualQueryEx
- 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: | 5,067 |
|---|---|
| Potentially Malicious Blocks: | 2,191 |
| Whitelisted Blocks: | 2,876 |
| 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.- Mettle.A
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
|
| Other Suspicious |
|
