Scikit-learn

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    Vulnerabilities: 3
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    Vulnerabilities

    CVE-2024-5206

    Sensitive Data Leakage in sklearn.feature_extraction.text.TfidfVectorizer in scikit-learn/scikit-learn

    Last Modified: Nov 21, 2024
    Published: Jun 06, 2024

    CVE-2020-28975

    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.

    Last Modified: Nov 21, 2024
    Published: Nov 21, 2020

    CVE-2020-13092

    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

    Last Modified: Nov 21, 2024
    Published: May 15, 2020
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