Description
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.
References
http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html
http://seclists.org/fulldisclosure/2020/Nov/44
https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501
https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85
https://github.com/scikit-learn/scikit-learn/issues/18891
https://security.gentoo.org/glsa/202301-03
CVSS impact metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
7.5 · High
CVSS V3.1
CVSS V3.0
CVSS V2.0
Information
Source identifier
Vulnerability status
Modified
Published
2020-11-21T21:15:10.680
4 years agoLast modified
2024-08-04T17:15:44.607
11 months ago