Trojan.Krypt.Gen.MF
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Krypt.Gen.MF |
|---|---|
| Signature status: | Self Signed |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
c3287c5cb75e4d599011f050a988a7a3
SHA1:
1ec6cf3e8c443d79e6b5190d38ad767927c6a3b1
SHA256:
4219BA0E67CCA8EA4A2FC28C67ED0D0458B13D5F69CF1C3085F351E740F8E25E
File Size:
1.85 MB, 1849040 bytes
|
|
MD5:
99cb85198a5f42c44b7984338bbe51c7
SHA1:
1a806d99ff6cb24b36665236c825645d9c7b1b2c
SHA256:
8BF12546B1F419BCF1F8830A09FE5D6A4D2F069CADAFA9608D7AC664EB6E7ED9
File Size:
1.85 MB, 1851088 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 32-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 |
|---|---|---|
| *.ss.com | *.ss.com | Self Signed |
File Traits
- golang
- No Version Info
- 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: | 930 |
|---|---|
| Potentially Malicious Blocks: | 1 |
| Whitelisted Blocks: | 929 |
| 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
