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SQ14112

Detected Windows executable files with bound imports that will be ignored due to enabled ASLR vulnerability mitigation protection.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
NonepasslowlowNoneNone

About the issue​

Address Space Layout Randomization (ASLR) is a vulnerability mitigation option that forces software components to load on a different memory base address each time they are used. Bound imports are a way for the operating system to speed up application startup time. However, binding an image makes it consistently load on the default base address. That is incompatible with ASLR, which is why bound imports will be ignored.

How to resolve the issue​

  • This is a minor code quality issue. To resolve it, review the programming language linker options.
  • In Microsoft VisualStudio, you can safely remove EDITBIN /BIND from your post-link procedure, and set the /ALLOWBIND option to NO.

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).