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 pymatgen
to version 2024.2.20 or higher.
pymatgen is a Python Materials Genomics is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project (https://materialsproject.org).
Affected versions of this package are vulnerable to Command Injection due to a flawed code segment involving a regular expression operation followed by the use of eval()
function in the JonesFaithfulTransformation.from_transformation_str()
method. An attacker can execute arbitrary code when parsing untrusted input.