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scikit-learn Deserialization of Untrusted Data

Critical severity GitHub Reviewed Published May 24, 2022 to the GitHub Advisory Database • Updated Apr 22, 2024

Package

pip scikit-learn (pip)

Affected versions

<= 0.23.0

Patched versions

None

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.

References

Published by the National Vulnerability Database May 15, 2020
Published to the GitHub Advisory Database May 24, 2022
Reviewed Apr 22, 2024
Last updated Apr 22, 2024

Severity

Critical
9.8
/ 10

CVSS base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Weaknesses

CVE ID

CVE-2020-13092

GHSA ID

GHSA-jjw5-xxj6-pcv5
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