Trojan.Kryptik.Gen.EYO
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Kryptik.Gen.EYO |
|---|---|
| Signature status: | Self Signed |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
f18716a534f894a79efc719cff7293d9
SHA1:
afc88da362832287ef385f765c35c43b6f9183cc
SHA256:
795C58E3DBF18A4541913768EB4ADC9D7645E2EADD29B69D8F93FA54D14897AF
File Size:
677.66 KB, 677664 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- 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)
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 |
|---|---|
| Comments | Based on CUDA architecture |
| Company Name | Hackett Group |
| File Description | GB array Ultimate Gateway |
| File Version | 2.3.259 |
| Internal Name | GBarray_tool.exe |
| Legal Copyright | Copyright (c) 2025 Hackett Group |
| Legal Trademarks | All trademarks are property of their respective owners. GB array is a trademark of Hackett Group. |
| Original Filename | GBarray_client.exe |
| Product Name | GB array |
| Product Version | 2.3.259 |
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 |
|---|---|---|
| Hackett Group | Hackett Group Intermediate CA 2 | Self Signed |
File Traits
- 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: | 48 |
|---|---|
| Potentially Malicious Blocks: | 25 |
| Whitelisted Blocks: | 9 |
| Unknown Blocks: | 14 |
Visual Map
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0 - Probable Safe Block
? - Unknown Block
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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.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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