CVE-2020-28975
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)
Products: Scikit Learn: Scikit Learn
Configuration A
| Vulnerable Software | Affected Versions |
|---|---|
| From 0.23.2 to 1.0.1 |
References (12)
Source: cve@mitre.org
ExploitThird Party AdvisoryVDB Entry
Source: cve@mitre.org
ExploitThird Party Advisory
Source: cve@mitre.org
PatchThird Party Advisory
Source: cve@mitre.org
ExploitIssue TrackingThird 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.