Critical Security Update for PyYAML: CVE-2024-11168 and Related Vulnerabilities
Summary
RHSA-2025:23530: Red Hat Security Advisory: python39:3.9 security update. Affects PyYAML versions < 0:5.4.1-1.module+el8.9.0+19644+d68f775d. Fixed in 0:5.4.1-1.module+el8.9.0+19644+d68f775d. How to fix ↓
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Background
PyYAML is a popular Python library used for parsing and writing YAML, a human-readable data serialization standard. It is widely utilized in various applications for configuration files and data exchange. The library is known for its ease of use and flexibility, making it a staple in many Python projects. However, recent vulnerabilities have been identified that could potentially compromise the security of applications relying on this library.
Vulnerability Detail
The vulnerabilities, including CVE-2024-11168, CVE-2024-5642, and others, stem from improper handling of certain inputs, which could lead to arbitrary code execution or denial of service. Attackers could exploit these vulnerabilities by crafting malicious YAML files that, when processed by the affected application, could execute unintended commands or crash the application. This poses a significant risk, especially for applications that process untrusted input.
How To Fix
Minimum fixed version
0:5.4.1-1.module+el8.9.0+19644+d68f775d
This is the first release that contains the fix.
sudo dnf update PyYAML
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Workaround
If immediate updating is not possible, consider implementing input validation to sanitize YAML files before processing them. This can help mitigate the risk of exploitation until the packages can be updated.
Conclusion
The identified vulnerabilities in PyYAML pose significant risks to applications that utilize this library. It is crucial to update to the latest patched versions to safeguard against potential attacks. Implementing input validation can serve as a temporary measure until updates are applied.
See every vulnerability recorded for PyYAML →
FAQ
CVE-2024-11168 is a vulnerability in the PyYAML library that allows for arbitrary code execution through crafted YAML files.
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Implement input validation to sanitize YAML files before processing them to reduce the risk of exploitation.
Exploitation of this vulnerability could lead to arbitrary code execution, allowing attackers to execute malicious commands on the server.
Yes, the CVSS score for this vulnerability is 7.6, indicating a high severity level.
Related vulnerabilities
Recent vulnerabilities recorded for PyYAML.