scikit-learn Denial of Service

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.

CVSS 3.1

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Severity from

GitHub (reviewed advisory)

Also known as

CVE-2020-28975, PYSEC-2020-108

• nvd.nist.gov/vuln/detail/CVE-2020-28975
• github.com/scikit-learn/scikit-learn/issues/18891
• github.com/scikit-learn/scikit-learn/commit/1bf13d567d3cd74854aa8343fd25b61dd768bb85
• github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501
• github.com/pypa/advisory-database/tree/main/vulns/scikit-learn/PYSEC-2020-108.yaml
• github.com/scikit-learn/scikit-learn
• security.gentoo.org/glsa/202301-03
• packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html
• seclists.org/fulldisclosure/2020/Nov/44