** DISPUTED ** 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
Link | Resource |
---|---|
https://github.com/scikit-learn/scikit-learn/issues/18891 | Exploit Issue Tracking Third Party Advisory |
https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501 | Exploit Third Party Advisory |
http://seclists.org/fulldisclosure/2020/Nov/44 | Mailing List Third Party Advisory |
http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html | Exploit Third Party Advisory VDB Entry |
https://github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85 | Patch Third Party Advisory |
https://security.gentoo.org/glsa/202301-03 | Third Party Advisory |
Configurations
Information
Published : 2020-11-21 13:15
Updated : 2023-01-17 10:24
NVD link : CVE-2020-28975
Mitre link : CVE-2020-28975
JSON object : View
CWE
Products Affected
scikit-learn
- scikit-learn