7.5

CVE-2020-28975

Exploit
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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Scikit-learn ≫ Scikit-learn Version >= 0.23.2 < 1.0.1
Zu dieser CVE wurde keine Warnung gefunden.
EPSS Metriken
Typ Quelle Score Percentile
EPSS FIRST.org 3.43% 0.874
CVSS Metriken
Quelle Base Score Exploit Score Impact Score Vector String
nvd@nist.gov 7.5 3.9 3.6
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
nvd@nist.gov 5 10 2.9
AV:N/AC:L/Au:N/C:N/I:N/A:P
Es wurden noch keine Informationen zu CWE veröffentlicht.
http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html
Third Party Advisory
Exploit
VDB Entry
http://seclists.org/fulldisclosure/2020/Nov/44
Third Party Advisory
Mailing List
https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501
Third Party Advisory
Exploit
https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85
Patch
Third Party Advisory
https://github.com/scikit-learn/scikit-learn/issues/18891
Third Party Advisory
Exploit
Issue Tracking
https://security.gentoo.org/glsa/202301-03
Third Party Advisory