VULNERABILITY INTELLIGENCE
CVE-2020-28975
CVSS score7.5 HIGH
EPSS probability3.50%
CISA KEVNot currently listed
Published2020-11-21
Last modified2026-06-17
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
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.
Weakness classification
- nvd@nist.gov: NVD-CWE-noinfo
Primary references
- cve@mitre.org — Exploit, Third Party Advisory, VDB Entry
- cve@mitre.org — Mailing List, Third Party Advisory
- cve@mitre.org — Exploit, Third Party Advisory
- cve@mitre.org — Patch, Third Party Advisory
- cve@mitre.org — Exploit, Issue Tracking, Third Party Advisory
- cve@mitre.org — Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Exploit, Third Party Advisory, VDB Entry
- af854a3a-2127-422b-91ae-364da2661108 — Mailing List, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Exploit, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Patch, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Exploit, Issue Tracking, Third Party Advisory
- af854a3a-2127-422b-91ae-364da2661108 — Third Party Advisory