PYSEC-2020-107

    Dashboard / Vulnerabilities / PYSEC-2020-107

    PYSEC-2020-107

    Published: 15 May 2020Last Modified: 10 Jun 2026

    Summary:

    Details: ** 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.

    References: https://github.com/0FuzzingQ/vuln/blob/master/sklearn%20unserialize.md, https://scikit-learn.org/stable/modules/model_persistence.html#security-maintainability-limitations, https://github.com/advisories/GHSA-jjw5-xxj6-pcv5

    Affected packages

    Package

    Name: scikit-learn

    Purl: pkg:pypi/scikit-learn

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -0.23.1

    Affected versions

    0.10

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    PYSEC-2020-107 | CVE-DB