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SQ14154

Detected Windows executable files with different data tables overlapping with each other or with file headers.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
failhighhigh4hardening: fail
Reason: unsafe code linking practices

About the issue​

Windows executable files consist of various data tables that help the operating system loader provide the information necessary for the application to run. The tables contain references to memory layouts, function symbols the application uses and provides, configurations of security features, and fulfill various other execution needs. Due to their sensitivity, all data tables should be isolated from each other. At no point should one table be allowed to directly modify another. Vulnerability mitigations are implemented with the assumption that the data tables are read-only, or immutable. Allowing data tables and application headers to self-modify may lead to exposing critical security data to overwrites, tampering, and complete bypasses of vulnerability mitigations. This issue is typically reported when a software publisher uses a low quality executable packing solution.

How to resolve the issue​

  • You should deprecate the use of runtime packers, or enforce digital rights management via less intrusive ways that preserve compatibility with vulnerability mitigation options.

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).