PUP.PC Accelerator.J
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: | 22,706 |
| Threat Level: | 10 % (Normal) |
| Infected Computers: | 487 |
| First Seen: | May 8, 2023 |
| Last Seen: | October 11, 2026 |
| OS(es) Affected: | Windows |
Table of Contents
Analysis Report
General information
| Family Name: | PUP.PC Accelerator.J |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
fec923338d5a57f9a08ed0da3fffc327
SHA1:
4e008527bf789e1e61f3864d23aabf5f871aaf6d
SHA256:
228B6ECA8075A6D3E4F67B3C40E0DF81FDBFF66141E7DCDEC00F17776C0D4520
File Size:
59.90 KB, 59904 bytes
|
|
MD5:
94e7fb2bc22bdd4102f7d5f5ae903a7b
SHA1:
04715dc446eccf45e0501aa89d865b4706b36f67
SHA256:
4A6BB1018942D84D16A1F4F08053315BB1D9DAA822383C905201F08A9C54C3F0
File Size:
59.90 KB, 59904 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 security information
- File is 32-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)
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 Description |
|
| File Version | 1.0.0.1 |
| Internal Name |
|
| Original Filename |
|
| Product Name |
|
| Product Version | 1.0.0.1 |
File Traits
- 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: | 118 |
|---|---|
| Potentially Malicious Blocks: | 93 |
| Whitelisted Blocks: | 25 |
| 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.- PC Accelerator.J
