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SQ18103

Detected Linux executable files that might set writable and executable permissions to the code segment, making non-executable memory mitigations less effective.

priorityCI/CD statusseverityeffortSAFE levelSAFE assessment
passhighmediumNonehardening: warning
Reason: ineffective mitigations detected

About the issue​

Presence of code relocations indicates that the code segment might temporarily, at one point, become both writable and executable. That violates security policies adopted by most modern Linux distributions. During the brief period in which the code segment is both writable and executable, the attacker may be able to overwrite the code with a malicious program.

How to resolve the issue​

  • Code relocations often appear due to inadequately written inline assembly, or when programs are not compiled with the appropriate position-independent code flag (e.g. -fPIC). In most cases, manual inspection may be required.

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).