Trojan.Agent.Gen.BNJ
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: | 13,200 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 8 |
| First Seen: | April 2, 2026 |
| Last Seen: | April 27, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Agent.Gen.BNJ |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
c68683bc7f0e7fc45a707855e1a285e1
SHA1:
66712a93b89d8bb26017b33001775dad8a16b889
SHA256:
FBD625897FDF32025A63BAB4BCA684D7E996416C743D03B3BDE2D64B428B7FDC
File Size:
398.47 KB, 398472 bytes
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MD5:
0a89e7518d5da2130bb9db222b13bc45
SHA1:
9b4a2dbd13f421755e97336cc5dfda44383821c4
SHA256:
6A9C1FA9530FE4D54F727111300B8FB80F380EA03C363E80AC5A24BDF18DAADE
File Size:
410.43 KB, 410432 bytes
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MD5:
dac7c3aa83dd6774651945646bb40fbf
SHA1:
360fedb977091336f17cb169202021fd2645824a
SHA256:
BEEAECBD9BCBF4B0D8D64259511F5ABECB1DC93599CCD9FF097066963627DCA9
File Size:
401.92 KB, 401920 bytes
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MD5:
e6550a4d980b46a809fd8b824891761e
SHA1:
40f9c0efa5381d78e09405adca82c5e6d7fe3537
SHA256:
F50FCDDD09409B3B4C23684C3120A8320E325D4C9C5FFF5DBC3587B65A7D305D
File Size:
344.58 KB, 344576 bytes
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MD5:
f70d796e1e7a4ca917b680d723fef9d1
SHA1:
e29e02b1ef99350e0f267b4a609ae42ead6e0c81
SHA256:
420470634F5CF449E7835827FFE2D60393A1BDE789275CDE108B70F28AB39FD4
File Size:
381.95 KB, 381952 bytes
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MD5:
d5b01e27925dad8c3ac7c273ac807c51
SHA1:
147a15819c13bc4649dbd1753184b6d8e18e1dc8
SHA256:
09B0264DC382266410BB4EE5670389DE7E10838600912E0AE89CB382398AC158
File Size:
369.66 KB, 369664 bytes
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Windows Portable Executable Attributes
- File doesn't have "Rich" header
- 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)
- 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)
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 |
|---|---|
| Company Name |
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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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| Original Filename |
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| Product Name |
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| Product Version |
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Digital Signatures
Digital Signatures
This section lists digital signatures that are attached to samples within this family. When analyzing and verifying digital signatures, it is important to confirm that the signature’s root authority is a well-known and trustworthy entity and that the status of the signature is good. Malware is often signed with non-trustworthy “Self Signed” digital signatures (which can be easily created by a malware author with no verification). Malware may also be signed by legitimate signatures that have an invalid status, and by signatures from questionable root authorities with fake or misleading “Signer” names.| Signer | Root | Status |
|---|---|---|
| Grammarly, Inc. | Grammarly, Inc. | Self Signed |
| Notion Labs, Inc. | Notion Labs, Inc. | Self Signed |
File Traits
- dll
- HighEntropy
- ntdll
- 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: | 913 |
|---|---|
| Potentially Malicious Blocks: | 50 |
| Whitelisted Blocks: | 863 |
| 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
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.- Tedy.WA
- Trojan.Agent.Gen.ATZ
- Trojan.Agent.Gen.BFU
- Trojan.Agent.Gen.BNJ
- Trojan.ShellcodeRunner.Gen.KC
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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