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Advisory details: pypa / scikit-learn/PYSEC-2020-107
Advisory ID pypa/scikit-learn/PYSEC-2020-107
Aliases CVE-2020-13092
GHSA-jjw5-xxj6-pcv5
PYSEC-2020-107
Summary ** DISPUTED ** scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute commands from an untrusted file that is passed to the joblib.load() function, if __reduce__ makes an os.system call. NOTE: third parties dispute this issue because the joblib.load() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner.
Status Published
Exploitability 0.5
Weighted Severity 0.0
Risk
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (0)
There are no known CWE.
System Score Found at
There are no known severity scores.
Reference id Reference type URL
https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md
https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations
GHSA-jjw5-xxj6-pcv5 https://github.com/advisories/GHSA-jjw5-xxj6-pcv5
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
There are no known vectors.

There are no SSVC decisions available.