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.
Published: 2020-11-21
Score: 7.5 High
EPSS: < 1% Very Low
KEV: No
Impact: n/a
Action: n/a
AI Analysis

Analysis and contextual insights are available on OpenCVE Cloud.

Remediation

No vendor fix or workaround currently provided.

Additional remediation guidance may be available on OpenCVE Cloud.

Tracking

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Advisories
Source ID Title
Github GHSA Github GHSA GHSA-jxfp-4rvq-9h9m scikit-learn Denial of Service
History

Mon, 23 Feb 2026 20:15:00 +0000

Type Values Removed Values Added
Metrics ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'poc', 'Technical Impact': 'partial'}, 'version': '2.0.3'}


Subscriptions

Scikit-learn Scikit-learn
cve-icon MITRE

Status: PUBLISHED

Assigner: mitre

Published:

Updated: 2024-08-04T16:48:01.573Z

Reserved: 2020-11-21T00:00:00.000Z

Link: CVE-2020-28975

cve-icon Vulnrichment

Updated: 2024-08-04T16:48:01.573Z

cve-icon NVD

Status : Modified

Published: 2020-11-21T21:15:10.680

Modified: 2024-11-21T05:23:25.657

Link: CVE-2020-28975

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses