PYSEC-2020-108

    Dashboard / Vulnerabilities / PYSEC-2020-108

    PYSEC-2020-108

    Published: 21 Nov 2020Last Modified: 10 Jun 2026

    Summary:

    Details: ** DISPUTED ** svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn 0.23.2 and other products, allows attackers to cause a denial of service (segmentation fault) via a crafted model SVM (introduced via pickle, json, or any other model permanence standard) with a large value in the _n_support array. NOTE: the scikit-learn vendor's position is that the behavior can only occur if the library's API is violated by an application that changes a private attribute.

    Affected packages

    Package

    Name: scikit-learn

    Purl: pkg:pypi/scikit-learn

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -0.24.dev0

    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-2020-108 | CVE-DB