Malicious Code Vulnerability in csvvv Package on PyPI
Summary
MAL-2025-6490: Malicious code in csvvv (PyPI). Affects csvvv versions 1.0 – 1.2. No fix is published. How to fix ↓
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Background
The csvvv package is a Python library designed for handling CSV files with enhanced functionalities. It allows users to read, write, and manipulate CSV data efficiently. However, recent findings have revealed that certain versions of this package contain malicious code, posing significant security risks to users and their applications.
Vulnerability Detail
The vulnerability in the csvvv package arises from the inclusion of malicious code that can execute harmful actions on the user's system. This issue was identified in versions 1.0, 1.1, and 1.2 of the package. The malicious code can potentially lead to unauthorized access, data breaches, or system compromise, making it critical for users to address this vulnerability promptly.
How To Fix
This package is malicious. Remove it and rotate any credentials it could have accessed.
pip uninstall csvvvIf it arrived as a transitive dependency, remove the package that pulled it in, then reinstall.
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Workaround
As a temporary measure, users can avoid using the affected versions of the csvvv package. Instead, consider using alternative libraries for CSV handling or manually inspecting the code for any malicious components before executing it.
Conclusion
The csvvv package on PyPI has been found to contain malicious code in certain versions, posing a significant risk to users. It is crucial to update to a patched version to mitigate these risks. Users are encouraged to monitor their applications for vulnerabilities using tools like Vulert.
See every vulnerability recorded for csvvv →
FAQ
Versions 1.0, 1.1, and 1.2 of the csvvv package are affected by the malicious code vulnerability.
You can use Vulert's playground at Vulert Scanner to check if your application is affected by this vulnerability without needing to sign up.
If immediate updates are not possible, consider using alternative libraries for CSV handling or review the code for any malicious components.
The vulnerability was discovered by ReversingLabs, a cybersecurity firm specializing in threat detection.
Failing to address this vulnerability can lead to unauthorized access to your system, data breaches, and potential compromise of sensitive information.
