CVE-2020-13092

scikit-learn (aka sklearn) through 0.23.0 can unserialize and execute ...

Published 15 May 2020Modified 17 Jun 2026CWE 502

In the Trivy database since at least 24 Oct 2026, 07:11 UTCWhen it arrived before that build is not recorded.

Severity by source

NVD9.8CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

GHSA9.8CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Trivy's own label is CRITICAL. Rated critical by NVD, GHSA.

Description

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

Affected packages and fixed versions

Source	Package	Fixed in
pip::GitHub Security Advisory pip	scikit-learn	no fix listed
debian 11	scikit-learn	no fix listed
debian 12	scikit-learn	no fix listed
debian 13	scikit-learn	no fix listed
debian 14	scikit-learn	no fix listed
echo	scikit-learn	1.4.2+dfsg-8+e1
rapidfort debian 12	scikit-learn	no fix listed
rapidfort debian 13	scikit-learn	no fix listed

References

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RecordsEach decision is recorded with the policy that ran and its hash, then sealed under a signed checkpoint.

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Vulnerability data compiled from the Trivy vulnerability database (trivy-db, Aqua Security, Apache License 2.0), which aggregates third-party advisories. CVE records are published by The MITRE Corporation under the CVE Terms of Use; CVE is a trademark of MITRE. This product uses data from the NVD API but is not endorsed or certified by the NVD. Severity, titles and advisory data from the GitHub Advisory Database (CC BY 4.0), Red Hat security data (CC BY 4.0) and the other sources linked on each entry. Entries may be summarised or re-formatted; the linked original is the authoritative record.