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SQ20101

Detected digital signatures that have been countersigned for time-stamping an excessive number of times.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passlowlowNoneNone

About the issue​

Digital signatures are applied to applications, packages and documents as a cryptographically secured authenticity record. Signatures verify the origin and the integrity of the object they apply to. For application signatures, or digital code signing, it is recommended to countersign the signatures for time-stamping. Countersigned software components have their signature period validity extended past the signing certificate expiration date. Such signatures are considered valid indefinitely. However, time-stamping only needs to be done once per signature. Applying an excessive number of countersignatures may cause validation issues and availability outages.

How to resolve the issue​

  • Consult the certificate authority code signing documentation.
  • With Microsoft SignTool, you can specify the trusted remote time-stamping server using the /t or /tr parameter.

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).