Stop.AAWT.HHOO.IOTR.IOQA.QOTR.TYCX Ransomware
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: | 18,546 |
| Threat Level: | 100 % (High) |
| Infected Computers: | 15,506 |
| First Seen: | September 3, 2022 |
| Last Seen: | March 4, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | Stop.AAWT/HHOO/IOTR/IOQA/QOTR/TYCX Ransomware |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
0cf52ab5ec6a96c856f27a8069a67711
SHA1:
561edcbce92456d2037ab4bd41a96e17c73e361b
SHA256:
45E28232FE7DD982261D22CF3E91A7DE00316EE6350B2AE513C16CF3977B390A
File Size:
304.64 KB, 304640 bytes
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MD5:
698748d81423eb48f487b367c407f231
SHA1:
4add2d5755cbd114fadfab16787e9af87421a82a
SHA256:
3CFDD82C34CCE16A2BC3A9C42C672A40D961D541EA3CF4500B5D9661AE711D16
File Size:
325.63 KB, 325632 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 security information
- 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)
- 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 |
|---|---|
| File Version | 1.0.0.1 |
| Files Version | 19.62.99 |
| Internal Name |
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| Legal Copyright |
|
| Product Name |
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| Product Version | 51.36.87.91 |
File Traits
- HighEntropy
- 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: | 446 |
|---|---|
| Potentially Malicious Blocks: | 5 |
| Whitelisted Blocks: | 436 |
| Unknown Blocks: | 5 |
Visual Map
? - Unknown Block
x - Potentially Malicious Block
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 |
|---|---|
| Encryption Used |
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