Trojan.MSIL.Filecoder.BD
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: | 25,789 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 21 |
| First Seen: | October 7, 2023 |
| Last Seen: | April 11, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.MSIL.Filecoder.BD |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
79d047e47fead9032d704e28e15603df
SHA1:
311ccf1a2e0a0dcc97799609b90fcc9875495774
SHA256:
3A59F1DED2054AEBA45F785384092F76168573FF4AE6428CD927FB64C68F4819
File Size:
87.55 KB, 87552 bytes
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MD5:
326a4b3b9e2a2fe6f9097c8b8b541cd7
SHA1:
86e268b880402f7b2711f871464571898be7bdcf
SHA256:
61DBDFB33C8D76C0905FE30454F0FD23AAB7174E405A62DD423C979115CBE896
File Size:
30.21 KB, 30208 bytes
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MD5:
c39833a9b30dbf68ecac7e6416436160
SHA1:
5bb3f99587a05c3e60ceca0a7bca7bacff2182da
SHA256:
01FE701251BFB193AAB9D528F094D9CFEB34650A2DBA9B66861D482E3BDCA237
File Size:
247.30 KB, 247296 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 exports table
- File doesn't have security information
- File is .NET application
- File is 32-bit executable
- File is either console or GUI application
- File is GUI application (IMAGE_SUBSYSTEM_WINDOWS_GUI)
- 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 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.
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 |
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| Assembly Version |
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| File Description |
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| File Version |
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| Internal Name |
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| Legal Copyright |
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File Traits
- .NET
- RijndaelManaged
- 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: | 69 |
|---|---|
| Potentially Malicious Blocks: | 4 |
| Whitelisted Blocks: | 21 |
| Unknown Blocks: | 44 |
Visual Map
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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 |
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| User Data Access |
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| Anti Debug |
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| Keyboard Access |
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| Syscall Use |
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