Trojan.Kryptik.MFRC
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Kryptik.MFRC |
|---|---|
| Signature status: | Self Signed |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
271ff5ff8fd1eb97b61dffd874abfd8b
SHA1:
a646abe44c161fee3208663cbdcae4e21138d3db
SHA256:
8D4417B139D759449A456EF7EC26F5E21CD2C8BB45C7C2F2BAF850DB983DA9AA
File Size:
3.77 MB, 3770792 bytes
|
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 resources
- 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)
Show More
- IMAGE_FILE_EXECUTABLE_IMAGE is set inside PE header (Executable Image)
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 |
|---|---|---|
| Atlas Beacon Studios | Atlas Beacon Studios | Self Signed |
File Traits
- golang
- No Version Info
- 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: | 3,395 |
|---|---|
| Potentially Malicious Blocks: | 5 |
| Whitelisted Blocks: | 3,296 |
| Unknown Blocks: | 94 |
Visual Map
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...
Data truncated
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.- Kryptik.FRSE
- Trojan.Downloader.Gen.AON
- Trojan.Metasploit.Gen.AB
- Trojan.Metasploit.Gen.W
- Trojan.ShellcodeRunner.Gen.TJ
Show More
- Trojan.ShellcodeRunner.Gen.UA
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 |
Show More
|
