CVE-2018-20133: Code Injection Vulnerability in ymlref
Summary
CVE-2018-20133: ymlref allows code injection. Affects ymlref versions 0.1.0 – 0.1.1. No fix is published. How to fix ↓
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Background
ymlref is a package available on PyPI that provides functionality for referencing YAML files in Python. It allows developers to easily load and access data from YAML files within their Python applications. However, the package is vulnerable to code injection, which can lead to unauthorized execution of arbitrary code.
Vulnerability Detail
The vulnerability in ymlref arises from insufficient input validation and sanitization. Attackers can exploit this weakness by injecting malicious code into YAML files that are processed by the package. When the vulnerable code is executed, the injected code is also executed, potentially leading to unauthorized access, data breaches, or remote code execution.
How To Fix
No fixed version is published for this vulnerability.
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Workaround
As a temporary workaround, developers can implement strict input validation and sanitization measures to mitigate the risk of code injection. This includes thoroughly validating and sanitizing YAML files before passing them to ymlref for processing. Implementing a robust input validation strategy can help prevent the execution of injected code.
Conclusion
In conclusion, the ymlref package is vulnerable to code injection, which can lead to unauthorized execution of arbitrary code. It is crucial to update to a patched version of the package and implement strict input validation and sanitization measures to mitigate the risk. For further support on vulnerability remediation, contact DevNack.com.
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FAQ
ymlref is a Python package available on PyPI that allows developers to reference and load data from YAML files within their Python applications.
The code injection vulnerability in ymlref can lead to unauthorized execution of arbitrary code, potentially resulting in unauthorized access, data breaches, or remote code execution.
To fix this vulnerability, update ymlref to a version that includes a patch for the code injection issue and implement strict input validation and sanitization measures.
As a temporary workaround, implement strict input validation and sanitization measures to mitigate the risk of code injection.
For more information about this vulnerability, refer to the official advisory from the PyPA Advisory Database: [link to advisory]
References
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