Top issues
Detected presence of malicious files by a machine learning algorithm.
Causes risk: malicious components found
threats
Problem
Proprietary ReversingLabs malware detection algorithms have determined that the software package contains one or more malicious files. The detection was made by a machine learning model. This malware detection method is considered proactive, and can typically identify the malware threat type. The detection is strongly influenced by behaviors that software components exhibit. Behaviors similar to previously discovered malware and software supply chain attacks may cause some otherwise benign components to be detected as malicious.Prevalence in PowerShell Gallery community
1 packages
found in
Top 100
15 packages
found in
Top 1k
73 packages
found in
Top 10k
117 packages
in community
Next steps
Inspect behaviors exhibited by the detected software components.
If the software behaviors differ from expected, investigate the build and release environment for software supply chain compromise.
Avoid using this software package until it is vetted as safe.
Consider rewriting code that may have triggered the detection due to its malware similarity.
Problem
Software developers use programming and design knowledge to build reusable software components. Software components are the basic building blocks for modern applications. Software consumed by an enterprise consists of hundreds, and sometimes even thousands of open source components. Open source communities depend on the work of thousands of software developers that volunteer their time to maintain software components. Software developers build up the reputation of their open source projects by developing in public. Modern source code repositories have many social features that allow software developers to handle bug reports, have discussions with their users, and convey reaching significant project milestones. It is uncommon to find open source projects that omit linking their component to a publicly accessible source code repository.Prevalence in PowerShell Gallery community
100 packages
found in
Top 100
900 packages
found in
Top 1k
8992 packages
found in
Top 10k
17108 packages
in community
Next steps
Check the software component behaviors for anomalies.
Consider exploratory software component testing within a sandbox environment.
Consider replacing the software component with a more widely used alternative.
Avoid using this software package until it is vetted as safe.
Top behaviors
Interacts with Microsoft .NET Framework code, types and assemblies.
execution
Prevalence in PowerShell Gallery community
Behavior often found in this community (Common)
100 packages
found in
Top 100
804 packages
found in
Top 1k
6518 packages
found in
Top 10k
11726 packages
in community
Decodes data using the Base64 algorithm.
packer
Prevalence in PowerShell Gallery community
Behavior often found in this community (Common)
68 packages
found in
Top 100
371 packages
found in
Top 1k
1732 packages
found in
Top 10k
2838 packages
in community
The software package does not declare any source code repository.
anomaly
Prevalence in PowerShell Gallery community
Behavior often found in this community (Common)
100 packages
found in
Top 100
900 packages
found in
Top 1k
8992 packages
found in
Top 10k
17108 packages
in community
Top vulnerabilities
No vulnerabilities found.