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SQ14137

Detected Windows executable files that enforce image integrity while missing a digital signature.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
failhighlow3hardening: fail
Reason: integrity enforcement errors

About the issue​

Enforced image integrity checking ensures that Windows executable files are only allowed to run after their digital signatures are verified. This security mechanism ensures that the tampered and corrupted applications are prohibited from running. Additionally, access to certain operating system functions may require applications to enable enforced integrity checks. This requirement reduces harm that the malicious code may cause once executed. It is common to find operating system code and kernel drivers that use enforced integrity checks for security purposes.

How to resolve the issue​

  • To confirm detection accuracy, check for presence of any security catalogues that may be used as the software component signatures.
  • With Microsoft SignTool, re-sign the software component or create a security catalogue that acts as its signature.

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).