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Количество 6
Количество 6
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.
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.
CVE-2020-28975
svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn ...
GHSA-jxfp-4rvq-9h9m
scikit-learn Denial of Service
BDU:2024-07246
Уязвимость функции svm_predict_values (svm.cpp) библиотеки машинного обучения scikit-learn, позволяющая нарушителю вызвать отказ в обслуживании
ALT-PU-2023-6666
ALT-PU-2023-6666: package `python3-module-scikit-learn` update to version 1.3.0-alt1
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
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. | CVSS3: 7.5 | 4% Низкий | почти 6 лет назад | |
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. | CVSS3: 7.5 | 4% Низкий | почти 6 лет назад | |
CVE-2020-28975 svm_predict_values in svm.cpp in Libsvm v324, as used in scikit-learn ... | CVSS3: 7.5 | 4% Низкий | почти 6 лет назад | |
GHSA-jxfp-4rvq-9h9m scikit-learn Denial of Service | CVSS3: 7.5 | 4% Низкий | больше 4 лет назад | |
BDU:2024-07246 Уязвимость функции svm_predict_values (svm.cpp) библиотеки машинного обучения scikit-learn, позволяющая нарушителю вызвать отказ в обслуживании | CVSS3: 7.5 | 4% Низкий | почти 6 лет назад | |
ALT-PU-2023-6666 ALT-PU-2023-6666: package `python3-module-scikit-learn` update to version 1.3.0-alt1 | CVSS3: 7.5 | 4% Низкий | около 3 лет назад |
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