Malicious code in splitstudy (PyPI)
Summary
MAL-2023-6811: Malicious code in splitstudy (PyPI). Affected versions are not published. No fix is published. How to fix ↓
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Background
The splitstudy package is an open-source Python package available on PyPI. It is used for splitting datasets into training and testing sets for machine learning purposes. The package provides various functions and utilities to facilitate this process. However, the package has been found to contain malicious code, which poses a significant security risk to users.
Vulnerability Detail
The splitstudy package has been identified as part of a larger group of nearly 6000 malicious PyPi and NPM packages published by the EsqueleSquad group. These packages execute spyware and information-stealing malware. The specific vulnerability in splitstudy allows attackers to gain unauthorized access to sensitive information and potentially compromise the security of systems using the package.
How To Fix
This package is malicious. Remove it and rotate any credentials it could have accessed.
pip uninstall splitstudyIf 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 splitstudy package and ensure that all affected systems are thoroughly scanned and secured.
Conclusion
The splitstudy package on PyPI has been found to contain malicious code, posing a significant security risk to users. It is crucial to remove the package from your project dependencies, scan your systems for compromise, and take appropriate actions to secure your environment. For further support and assistance, please contact DevNack.com.
See every vulnerability recorded for splitstudy →
FAQ
You can check your project's dependencies or requirements files to see if splitstudy is listed. Additionally, you can use vulnerability scanning tools like Vulert to identify any vulnerable packages in your project.
The malicious code in splitstudy can lead to unauthorized access to sensitive information, data breaches, and potential compromise of the affected systems. It is crucial to take immediate action to mitigate these risks.
At the time of this report, the malicious code is still present in the splitstudy package. It is recommended to remove the package from your project and follow the provided steps to secure your systems.
Yes, there are alternative packages and solutions available for splitting datasets in Python. It is recommended to research and choose a reputable and secure package from trusted sources.
If you have further questions or need assistance with vulnerability remediation, you can contact info@devnack.com for support.
