Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applicationsUpgrade Debian:unstable pymatgen to version 2024.1.27+dfsg1-6 or higher.
Note: Versions mentioned in the description apply only to the upstream pymatgen package and not the pymatgen package as distributed by Debian.
See How to fix? for Debian:unstable relevant fixed versions and status.
Pymatgen (Python Materials Genomics) is an open-source Python library for materials analysis. A critical security vulnerability exists in the JonesFaithfulTransformation.from_transformation_str() method within the pymatgen library prior to version 2024.2.20. This method insecurely utilizes eval() for processing input, enabling execution of arbitrary code when parsing untrusted input. Version 2024.2.20 fixes this issue.