Malicious code in selfvisanvidia (PyPI)
Summary
MAL-2023-6774: Malicious code in selfvisanvidia (PyPI). Affected versions are not published. No fix is published. How to fix ↓
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Background
The selfvisanvidia package is an open-source Python package available on PyPI. It is designed to provide functionality related to self-visualization and analysis of NVIDIA GPU performance data. The package allows users to extract and analyze performance metrics from NVIDIA GPUs. Unfortunately, this package has been found to contain malicious code.
Vulnerability Detail
The selfvisanvidia package has been compromised by the EsqueleSquad group, who published nearly 6000 malicious PyPi and NPM packages. These packages execute spyware and information-stealing malware. The specific vulnerability in selfvisanvidia allows the execution of malicious code, which can lead to unauthorized access, data theft, and other malicious activities. The malicious code can be triggered when the package is installed or used in a Python project.
How To Fix
This package is malicious. Remove it and rotate any credentials it could have accessed.
pip uninstall selfvisanvidiaIf it arrived as a transitive dependency, remove the package that pulled it in, then reinstall.
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Workaround
There is no known workaround for this vulnerability. It is essential to remove the selfvisanvidia package and take necessary security measures to protect your system.
Conclusion
The selfvisanvidia package on PyPI has been compromised and contains malicious code. It is crucial to remove this package from your Python environment and take necessary security measures to protect your system. Regularly updating your packages, using trusted sources, and scanning for vulnerabilities can help prevent similar incidents in the future. For further support on vulnerability remediation, you can contact DevNack.com.
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FAQ
You can use the Vulert Playground at Vulert Scanner to check if your application is affected by this vulnerability. Simply provide your Pipfile.lock file, and Vulert will analyze it for any open-source vulnerabilities, including this one.
Yes, if a non-malicious version of selfvisanvidia becomes available, you can safely use it. However, it is crucial to ensure that you are using a trusted and verified version of the package to avoid any potential security risks.
The malicious code in selfvisanvidia can lead to unauthorized access to sensitive data, data theft, and the execution of additional malware on the affected system. It is essential to take immediate action to remove the package and mitigate any potential impact.
To protect your Python projects from similar vulnerabilities, it is recommended to regularly update your packages to the latest versions, use package managers that provide security features, and scan your dependencies for known vulnerabilities using tools like Vulert.
This vulnerability was discovered by Checkmarx, a company specializing in software security. They identified the malicious code in the selfvisanvidia package and reported it to the appropriate channels for further investigation and mitigation.
