Malicious Code in mattplotlib (PyPI)
Summary
MAL-2023-1910: Malicious code in mattplotlib (PyPI). Affected versions are not published. No fix is published. How to fix ↓
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Background
mattplotlib is a Python package available on PyPI that provides functionality for creating visualizations and plots. It is widely used in data analysis and scientific computing. Unfortunately, this package has been found to contain malicious code that can compromise the security of users' browsers and manipulate their clipboard. This vulnerability allows attackers to replace crypto wallet addresses and potentially steal funds.
Vulnerability Detail
The vulnerability in mattplotlib was discovered by Checkmarx. The attacker distributed over 900 malicious packages via PyPI, with one of them being mattplotlib. When users install this package, their browsers are infected with a malicious extension. This extension can then manipulate the clipboard and replace crypto wallet addresses, leading to potential financial loss for the victims. The malicious code was introduced in version 0 of mattplotlib.
How To Fix
This package is malicious. Remove it and rotate any credentials it could have accessed.
pip uninstall mattplotlibIf 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 follow the recommended steps for fixing the issue.
Conclusion
The presence of malicious code in mattplotlib poses a significant security risk to users. It is crucial to take immediate action to remove the affected version and upgrade to a secure version. Regularly updating packages and dependencies is essential to stay protected against such vulnerabilities. For further support and assistance in vulnerability remediation, you can reach out to DevNack.com.
See every vulnerability recorded for mattplotlib →
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 for any open-source vulnerabilities, including this one.
Yes, you can continue using mattplotlib, but it is crucial to ensure you are using a version that is not affected by this vulnerability. Upgrade to a newer version that has been verified to be secure.
The consequences of this vulnerability can be severe. Attackers can manipulate your clipboard and replace crypto wallet addresses, leading to potential financial loss if you make transactions using compromised addresses.
You can use package managers like pip or conda to update your packages and dependencies. Run 'pip install --upgrade mattplotlib' to upgrade to the latest secure version of mattplotlib.
Unfortunately, if funds are stolen due to this vulnerability, it can be challenging to recover them. It is crucial to take preventive measures and ensure you are using secure versions of packages to minimize the risk.
