Malicious code in supercpu (PyPI)
Summary
MAL-2023-6840: Malicious code in supercpu (PyPI). Affected versions are not published. No fix is published. How to fix ↓
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Background
supercpu is a package available on PyPI that provides functionality related to CPU operations. It is vulnerable to a recently discovered malicious code injection.
Vulnerability Detail
The supercpu package has been found to contain malicious code introduced by the EsqueleSquad group. This code executes spyware and information-stealing malware. The malicious code can be found in the package's PyPI distribution.
How To Fix
This package is malicious. Remove it and rotate any credentials it could have accessed.
pip uninstall supercpu
If 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 take immediate action by removing the affected package and following the recommended steps for remediation.
Conclusion
The supercpu package on PyPI has been found to contain malicious code introduced by the EsqueleSquad group. It is recommended to remove the package from your project and replace it with a trusted alternative. Regularly updating and reviewing the packages used in your project is essential for maintaining security. For further support on vulnerability remediation, contact DevNack.com.
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FAQ
supercpu is a PyPI package that provides functionality related to CPU operations.
The malicious code was introduced by the EsqueleSquad group and distributed through the PyPI distribution of the supercpu package.
The malicious code can execute spyware and information-stealing malware, potentially compromising sensitive data and compromising the security of the affected system.
You can use Vulert's playground at Vulert Scanner to check if your application is affected by this vulnerability. Simply provide your Pipfile.lock file for analysis.
To prevent similar vulnerabilities, it is crucial to regularly update and review the packages used in your project. Additionally, consider using tools like Vulert to monitor and alert for open-source vulnerabilities in your software.