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SQ34251

Detected presence of commonly distributed service tokens.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
NonepasslowlowNoneNone

About the issue​

Service access tokens are considered sensitive information that should not be included in released software packages. However, developers frequently release sensitive information alongside their applications to facilitate automated software testing. Testing tokens and keys often proliferate through the software supply chain. Any publicly documented testing keys or service access tokens can safely be ignored. List of such commonly distributed sensitive information is automatically updated and requires no additional user actions.

How to resolve the issue​

  • Review the commonly shared sensitive information for evidence of inadvertently exposed secrets.
  • If the tokens were published unintentionally and the software has been made public, you should revoke the tokens and file a security incident.

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).