PYSEC-2020-108
Dashboard / Vulnerabilities / PYSEC-2020-108
PYSEC-2020-108
Summary:
Details: ** 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: https://github.com/scikit-learn/scikit-learn/issues/18891, https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501, http://seclists.org/fulldisclosure/2020/Nov/44, http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html, https://github.com/advisories/GHSA-jxfp-4rvq-9h9m
Affected packages
Package
Name: scikit-learn
Purl: pkg:pypi/scikit-learn
Affected ranges
Type: ECOSYSTEM
Events:
