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TH30113

Detected presence of software components with unusual package versions.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passmediumhighNoneNone

About the issueโ€‹

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. Software developers publish components they have authored to public repositories. Developers that use open source components within their applications can specify the exact version of the component their application depends on. However, since components are frequently updated, some developers opt to always use the latest version of the software component. This helps reduce the number of vulnerabilities that open source components can introduce in the application. However, it does expose the developer and the build environment to risks associated with software supply chain attacks. Should a threat actor hijack the ownership of the software component publishing account, or even its publishing token, they could issue a malicious update that can infect the build environment or the application itself. To ensure that the build system updates the software component to a malicious version, threat actors often set the version number to an unusually high value. If a build system is instructed to use the latest component version, it will install the component with the highest version number, and execute its code.

How to resolve the issueโ€‹

  • Review software component versions to ensure there were no accidental code updates.
  • If the software component versions differ from expected, investigate the build and release environment for software supply chain compromise.
  • Consider pinning the software component version to prevent accidental code updates.
  • Avoid using this software package until it is vetted as safe.

Incidence statisticsโ€‹

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
Statistics are not collected for the TH30113 policy at this time, or not applicable to this type of issue.