Trojan.Stealer.IFC
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: | 12,493 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 23 |
| First Seen: | October 23, 2023 |
| Last Seen: | October 26, 2025 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Stealer.IFC |
|---|---|
| Signature status: | Hash Mismatch |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
a5d340727d041b18b8108fcc06647a72
SHA1:
47e73d049162e2ceec5c5c7c3c44b75d379db4c0
SHA256:
A9EA2C516803497A39A6CD6302BCF9C1327117B0EF5EA1CD73C265D9DE2BB8EA
File Size:
4.17 MB, 4166272 bytes
|
|
MD5:
01e68b9d3594b039f72b86977f8fb492
SHA1:
4a4770d90385fc78e10f96279c1eedcfbaabe214
SHA256:
29E1CFD55163A94497999F739CF0F6D2859CB1C857F2BF960E059C1C07B131F0
File Size:
4.11 MB, 4114048 bytes
|
|
MD5:
06f8f5996ef994f3a45ca06512f65e47
SHA1:
04c9b043e93a9f372566b6f3f33398308855e120
SHA256:
E21C8D3BE4A3545CA79C27EA2D538A72FEB7417099AB2FEA163D4A6731498F8B
File Size:
4.17 MB, 4169856 bytes
|
|
MD5:
1ee839ce3dd8aa0970901d92d362aac9
SHA1:
672e0191bc8a734bcf08454892fffc1400687749
SHA256:
A75480BECA40652089C1D5AA12051D92F43D9CE2CAD6E42FB28741022E416CF4
File Size:
2.97 MB, 2965880 bytes
|
Windows Portable Executable Attributes
- File doesn't have "Rich" header
- File doesn't have debug information
- File doesn't have 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 |
|---|---|
| Company Name | GlassWire |
| File Description | GlassWire Setup |
| File Version | 3,7,880,0 |
| Legal Copyright | (c) 2025 GlassWire |
| Original Filename | glasswire-setup-3.7.880.0-full.exe |
| Product Name | GlassWire |
| Product Version | 3,7,880,0 |
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 |
|---|---|---|
| Shenzhen Tuozhu Technology Co., Ltd. | GlobalSign | Hash Mismatch |
| domotz inc | Sectigo Public Code Signing Root R46 | Hash Mismatch |
File Traits
- golang
- Installer Version
- 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: | 3,765 |
|---|---|
| Potentially Malicious Blocks: | 22 |
| Whitelisted Blocks: | 3,660 |
| Unknown Blocks: | 83 |
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.- Agent.FRFC
- Agent.IDA
- CobaltStrike.FZ
- Quasar.LD
- Quasar.S
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- Quasar.SA
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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| Process Manipulation Evasion |
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