Missing pipefail in Shell Commands

medium

Shell pipes without pipefail mask failures in earlier commands, only returning last command exit code

Rule Information

Language
Docker
Category
Best Practices
Author
Code Pathfinder Team
Last Updated
2024-12-10
Tags
dockercorrectnessshell

Interactive Playground

Experiment with the vulnerable code and security rule below. Edit the code to see how the rule detects different vulnerability patterns.

pathfinder scan --rule cpf/docker-pipefail
Vulnerable Code
Security Rule

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Frequently Asked Questions

Common questions about Missing pipefail in Shell Commands

Shell pipes without pipefail mask failures in earlier commands, only returning last command exit code
This vulnerability is rated as medium severity, which means it should be reviewed and fixed in a timely manner as it represents a moderate security risk that could be exploited under certain conditions.

Use Code Pathfinder to scan your Docker codebase and automatically detect instances of this vulnerability pattern. Install Code Pathfinder and run the following command in your project directory:

pathfinder scan --rule cpf/docker-pipefail

This rule is aligned with industry-standard security frameworks and classifications:

  • Tags: docker, correctness, shell
Yes! Code Pathfinder allows you to customize rules to match your specific security requirements and coding standards. You can modify the detection patterns, adjust severity levels, add custom sanitizers, and configure the rule to fit your organization's security policies. The interactive playground above lets you experiment with the rule and see how it behaves with different code patterns.
When this vulnerability is detected in your code, review the flagged instances carefully. Check the "Vulnerable Code" section above for examples of insecure patterns and the "Security Rule" section to understand what the rule is looking for. Follow security best practices for Docker and consult the CWE/CVE references for detailed remediation guidance. Always test your fixes thoroughly before deploying to production.
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