—

PYSEC-2020-108

Quick fix

PYSEC-2020-108 — scikit-learn: upgrade to the fixed version with the command below.

pip install --upgrade 'scikit-learn>=0.24.dev0'

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.

Are you affected?

Enter the version of the package you're using.

Affected packages

PyPI/scikit-learn

Introduced in: 0Fixed in: 0.24.dev0

Fixpip install --upgrade 'scikit-learn>=0.24.dev0'

References

https://github.com/scikit-learn/scikit-learn/issues/18891[REPORT]
https://github.com/cjlin1/libsvm/blob/9a3a9708926dec87d382c43b203f2ca19c2d56a0/svm.cpp#L2501[WEB]
http://seclists.org/fulldisclosure/2020/Nov/44[WEB]
http://packetstormsecurity.com/files/160281/SciKit-Learn-0.23.2-Denial-Of-Service.html[WEB]
https://github.com/advisories/GHSA-jxfp-4rvq-9h9m[ADVISORY]