CVE-2020-28975

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 vendors position is that the behavior can only occur if the librarys API is violated by an application that changes a private attribute.

Risk Information

Base Score

7.5

MODERATE

Vector

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

EPSS Score

Exploitation Probability

0.815

Associated Vulnerability

Vulnerability	OS Platform
Vulnerabilities CVE-2020-28975 are fixed in Python-scikit-learn 1.0.1	Windows
Vulnerabilities CVE-2020-28975 are fixed in Python-scikit-learn for linux 1.0.1	Linux

Patch Details

No records found

References

https://nvd.nist.gov/vuln/detail/CVE-2023-1234
https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2023-1234