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CVE-2020-28975

nvd nist
Published: Nov 21, 2020Modified: Jun 17, 2026

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7.5
Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Exploitability: 3.9 / Impact: 3.6
Source: NVD

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 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.

Affected (1)

1 product
Scikit Learn
Configuration A
1 vulnerable
Vulnerable SoftwareAffected Versions
From 0.23.2 to 1.0.1

References (12)

Source: cve@mitre.org
Mailing ListThird Party Advisory
Source: cve@mitre.org
ExploitIssue TrackingThird Party Advisory
Source: cve@mitre.org
Third Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party AdvisoryVDB Entry
Source: af854a3a-2127-422b-91ae-364da2661108
Mailing ListThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
ExploitIssue TrackingThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Third Party Advisory

Timeline

No history available yet.