Trojan.Agent.ZFA
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: | 5,585 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 2,649 |
| First Seen: | November 3, 2021 |
| Last Seen: | December 20, 2025 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Agent.ZFA |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
9dde7bdd3b5a1d4a4b3bbc058b58575b
SHA1:
ecd7ba9ba7c574b6a84dfcc8abcc9154c70c4005
SHA256:
3EF9F55B2B4872B9413FFF707A6002BBEA9AE7E04A6641DBE6033B7BB0E71ABE
File Size:
624.13 KB, 624128 bytes
|
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MD5:
37b8c3058e9114ef61405326d4229208
SHA1:
544c7f5d530b3ca5afb61288a9e750f9b76967af
SHA256:
C81955DC9843DAAD2E9234ACD1FE6CB693080DF4A5869CB185AF27C35A257C59
File Size:
608.77 KB, 608768 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- 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)
- 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 |
|---|---|
| Comments | Unmanaged loader shim for Excel-DNA Add-Ins |
| Company Name | Govert van Drimmelen |
| File Description | Excel-DNA Dynamic Link Library |
| File Version | 1.1.0.3 |
| Internal Name | ExcelDna |
| Legal Copyright | Copyright (C) 2005-2020 Govert van Drimmelen |
| Original Filename | ExcelDna.xll |
| Product Name | Excel-DNA Add-In Framework for Microsoft Excel |
| Product Version | 1.1 |
File Traits
- dll
- HighEntropy
- 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: | 655 |
|---|---|
| Potentially Malicious Blocks: | 0 |
| Whitelisted Blocks: | 655 |
| Unknown Blocks: | 0 |
Visual Map
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0 - Probable Safe Block
? - Unknown Block
x - Potentially Malicious Block
? - 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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