Trojan.Downloader.Agent.AI
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: | 23,279 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 60 |
| First Seen: | January 7, 2013 |
| Last Seen: | October 24, 2025 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Downloader.Agent.AI |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
adece35b5321ba34a782dc4aa8d546c9
SHA1:
8024292732770bff5a870688ae5b9c8d65a7716f
SHA256:
A6AF0EEF2D0D2186B7CABBAA2461A1CE9F5C9433ED7D4FE735D7E23E2F075341
File Size:
132.18 KB, 132183 bytes
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MD5:
708ca8e93b03e66f4dd90253678a30c4
SHA1:
9fefdb752cfb3907259d3609bbb438ce0cac1fc6
SHA256:
3430EDD58952A4E90510369181439EADEC163474C89D4BC0CA8AF60C9AB331C4
File Size:
147.87 KB, 147874 bytes
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MD5:
ec01930aa81806cc2b6d0060f9bbad10
SHA1:
bc0db829ca5c8cfc4b1db99a51a42d9560f76fbb
SHA256:
A68F5C4507827F834B13648E3752114E147DBF46BA87B0C0643C67991FC24B65
File Size:
203.10 KB, 203099 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 relocations information
- File doesn't have security information
- File has exports table
- 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
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- IMAGE_FILE_DLL is not set inside PE header (Executable)
- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
File Icons
File Icons
This section displays icon resources found within family samples. Malware often replicates icons commonly associated with legitimate software to mislead users into believing the malware is safe.
File Traits
- big overlay
- HighEntropy
- 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: | 279 |
|---|---|
| Potentially Malicious Blocks: | 85 |
| Whitelisted Blocks: | 194 |
| 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.- Downloader.Agent.AI
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 |
|---|---|
| Keyboard Access |
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