Win32/BitCoinMiner.W
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: | 15,294 |
| Threat Level: | 80 % (High) |
| Infected Computers: | 774 |
| First Seen: | June 19, 2014 |
| Last Seen: | December 2, 2025 |
| OS(es) Affected: | Windows |
Win32/BitCoinMiner.W is a variation of the BitCoinMiner virus threats. Win32/BitCoinMiner.W may be able to evade detection through common antivirus programs. When loaded, Win32/BitCoinMiner.W is able to run in the background going undetected where it could perform various malicious actions. These actions include the spread of Win32/BitCoinMiner.W through connected systems over a network. In some instances Win32/BitCoinMiner.W may be distributed through spam messages or removable drives. Win32/BitCoinMiner.W may be used by remote hackers to obtain access to an infected computer. Removing Win32/BitCoinMiner.W may be done through using an antispyware program.
Table of Contents
Analysis Report
General information
| Family Name: | Trojan.Bitcoinminer.N |
|---|---|
| Signature status: | No Signature |
Known Samples
Known Samples
This section lists other file samples believed to be associated with this family.|
MD5:
4e4cf649077c17ef36bcddd2408e045d
SHA1:
c1d034fb459dc6d5aa6ea667389242f41f44ffbe
SHA256:
28935BE72208AAF499C7645CC1047A4D32215C95E0F733A323DF86821A380DE3
File Size:
306.26 KB, 306265 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 relocations information
- File doesn't have resources
- File doesn't have security information
- File has TLS information
- File is 32-bit executable
- File is console application (IMAGE_SUBSYSTEM_WINDOWS_CUI)
- File is either console or GUI application
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- 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 Traits
- big overlay
- 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: | 741 |
|---|---|
| Potentially Malicious Blocks: | 20 |
| Whitelisted Blocks: | 711 |
| Unknown Blocks: | 10 |
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.- Agent.NTC
- Bitcoinminer.N
- ShellcodeRunner.UA
- TrickBot.AL
- Trickbot.AO
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- Trickbot.AP
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 |
|---|---|
| Process Manipulation Evasion |
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