Adware.Montiera.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: | 16,343 |
| Threat Level: | 20 % (Normal) |
| Infected Computers: | 488 |
| First Seen: | January 10, 2013 |
| Last Seen: | March 2, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Adware.Montiera.A |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
af699a6a72b5415d512baec1c865acb7
SHA1:
44790a08496902fed9963d8e03b06a86807fdd8f
SHA256:
0B611FF358EF322EEAF4803C5BA22F9589F8B95A7C043D2BC4078A4202249220
File Size:
342.02 KB, 342016 bytes
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MD5:
976f79336665f5e0dc1460183f557747
SHA1:
54a9ab686e7c7e913b82208bacf083949137fbed
SHA256:
3EE3F4E34FC935873BE52169529A93AB35137A1443F16010A65714DFF52F4553
File Size:
308.22 KB, 308224 bytes
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MD5:
b568f768a593f3dacfa64c1ca47d431b
SHA1:
ddaadc15530be08b6e193111da142e5db60af426
SHA256:
B252E722BE4AB2D3BA49667E9BB70503CB218EA52F292857718A9902875F6B5C
File Size:
342.02 KB, 342016 bytes
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Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have debug information
- File doesn't have security information
- File has exports table
- 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)
File Traits
- dll
- 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: | 1,168 |
|---|---|
| Potentially Malicious Blocks: | 171 |
| Whitelisted Blocks: | 997 |
| Unknown Blocks: | 0 |
Visual Map
? - 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.- Montiera.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 |
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