Malicious code in selfvisacpu (PyPI)
Summary
MAL-2023-6770: Malicious code in selfvisacpu (PyPI). Affected versions are not published. No fix is published. How to fix ↓
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Background
The selfvisacpu package is an open-source Python package available on PyPI. It is used for [provide a brief description of the package's functionality and key attributes]. Unfortunately, this package has been found to contain malicious code, posing a significant security risk to users who install it.
Vulnerability Detail
The selfvisacpu package has been identified as one of the nearly 6000 malicious PyPi and NPM packages published by the EsqueleSquad group. These packages execute spyware and information-stealing malware, compromising the security and privacy of affected systems. The specific vulnerability in selfvisacpu allows the execution of unauthorized code, potentially leading to data breaches, unauthorized access, and other malicious activities.
How To Fix
This package is malicious. Remove it and rotate any credentials it could have accessed.
pip uninstall selfvisacpuIf 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 selfvisacpu package and follow the recommended steps to mitigate the risk.
Conclusion
The selfvisacpu package has been found to contain malicious code, posing a significant security risk. It is crucial to remove this package and follow the recommended steps to mitigate the vulnerability. For further support on vulnerability remediation, you can contact DevNack.com.
See every vulnerability recorded for selfvisacpu →
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, and Vulert will analyze it in real-time and alert you if any open-source vulnerabilities, including this one, are detected.
The malicious code in selfvisacpu can lead to various consequences, including data breaches, unauthorized access to sensitive information, and the installation of additional malware on affected systems. It is crucial to address this vulnerability promptly to mitigate these risks.
The recommended fix for this vulnerability is to remove the selfvisacpu package from your project and any dependencies that rely on it. Regularly updating and monitoring your dependencies can help prevent similar vulnerabilities in the future.
Yes, you can continue using other packages from PyPI. However, it is essential to ensure that you regularly update and monitor your dependencies to mitigate the risk of installing malicious packages.
If you come across any suspicious packages or vulnerabilities, you can report them to the PyPI maintainers or the relevant package repository. Additionally, you can use tools like Vulert to monitor and alert for open-source vulnerabilities in your software.
