SQ30110
Detected presence of malicious files through file reputation or third-party scanners.
| priority | CI/CD status | severity | effort | SAFE level | SAFE assessment |
|---|---|---|---|---|---|
 | fail | high | high | 1 | malware: fail Reason: malicious components found |
About the issue
Third-party malware detection algorithms have determined that the software package contains one or more malicious files. The detection was made by a hash-based file reputation lookup. This malware detection method is considered accurate, and can typically identify the malware family by name.
How to resolve the issue
- If the software intent does not relate to malicious behavior, investigate the build and release environment for software supply chain compromise.
- Avoid using this software package.
Incidence statistics
ReversingLabs periodically collects and analyzes the contents of popular software package repositories for threat research purposes. Analysis results are used to calculate incidence statistics for issues (policy violations) that Spectra Assure can detect in software packages.
This section is updated when new data becomes available.
Total amount of packages analyzed
- RubyGems: 183K
- Nuget: 644K
- PyPi: 628K
- NPM: 3.72M
Total detections per repository
For every repository, the chart shows the number of packages that triggered the software assurance policy. In other words, it shows how many packages in each package repository were found to have the specific issue described on this page. This information helps you understand how common the issue is across different software communities.
If a repository is absent from the chart, that means none of the packages in that repository triggered this policy during analysis, or the policy was not used during analysis.
Distribution of total detections by project popularity
For every repository, the chart shows how many of the total detections belong to the Top 100 (1-100), Top 1000 (101-1000) and Top 10 000 (1001-10 000) most downloaded projects. This information helps you understand the impact of the issue within each community, making it clearer when the issue affects the most popular projects.
If the chart shows zero values for all of the top project groups, that means all detections were in unranked projects (lower than 10 000 on the list of most downloaded projects).