Filtered by vendor Scikit-learn
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Total
2 CVE
| CVE | Vendors | Products | Updated | CVSS v2 | CVSS v3 |
|---|---|---|---|---|---|
| CVE-2020-28975 | 1 Scikit-learn | 1 Scikit-learn | 2024-04-11 | 5.0 MEDIUM | 7.5 HIGH |
| 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. | |||||
| CVE-2020-13092 | 1 Scikit-learn | 1 Scikit-learn | 2024-04-11 | 7.5 HIGH | 9.8 CRITICAL |
| 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 | |||||