Trojan.Kryptik.YKR
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.
| Threat Level: | 80 % (High) |
| Infected Computers: | 3 |
| First Seen: | July 15, 2024 |
| Last Seen: | February 13, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Kryptik.YKR |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
13c44f5a446d9349d40d4b54fa79818c
SHA1:
0f0e675377e4ff306e515cc6db2a744674179d6b
File Size:
361.47 KB, 361472 bytes
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MD5:
4644a8fdbbfc1386dd092a536473b457
SHA1:
33db6bfdf7ad3b5f92065078f15522da0aec2d2f
SHA256:
18713B965E7B4CD58FDD7988CBCA9A470F4AAA553F2A32568F5A4B700D5188AE
File Size:
393.73 KB, 393728 bytes
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MD5:
66a2a3d82481a32eb67b79fe894fd434
SHA1:
4c2fd1701e8ae1c604d4fabc142162244d95849c
SHA256:
DE6B1525ADC7921A718C61CA48B5D83ACFF8C5A2C7D35C114942EF1205E2F42E
File Size:
393.73 KB, 393728 bytes
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Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have exports table
- File doesn't have resources
- File doesn't have security 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)
File Traits
- fptable
- No Version Info
- WriteProcessMemory
- 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: | 1,416 |
|---|---|
| Potentially Malicious Blocks: | 7 |
| Whitelisted Blocks: | 1,409 |
| 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.- Agent.CLJ
- Kryptik.GSF
- Kryptik.YKR
- MSIL.Bulz.AVH
- MSIL.Bulz.LV
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- Quasar.CA
- Rozena.GFI
- Rozena.GFK
- Rozena.XE
- ShellcodeRunner.JKF
- Trojan.ShellcodeRunner.Gen.IQ
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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