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SQ25102

Detected packages with content that may be incomplete or corrupted.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passhighhighNoneNone

About the issue​

Proprietary ReversingLabs analysis engine supports a wide range of commonly used archive and software packaging formats. Using automated static file decomposition technologies, the engine recursively analyzes complex software packages. Software analysis is typically conducted in multiple steps. Content identification, unpacking, validation, and classification are some of the steps performed on each analyzed file. The analysis engine may sometimes report file integrity problems while performing unpacking or validation steps. In this case, no content was extracted from the package before an analysis error was encountered. This issue is commonly reported for packages with content that may be incomplete or corrupted. In rare occurrences this issue may indicate a problem with the analysis engine's file format parsing functions.

How to resolve the issue​

  • Confirm that the software package contains incomplete or corrupted content.
  • Create a new version of the software package that resolves content integrity issues.
  • Contact the ReversingLabs support team if you suspect that the analysis engine may be causing the issue.

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).