CVE-2020-28975
scikit-learn Denial of Service
7.5
HIGH
CVSS 3.1
EPSS 3.4%
Description
** DISPUTED ** 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.
How to fix CVE-2020-28975
To remediate CVE-2020-28975, upgrade the affected package to a fixed version below.
- —upgrade to 1.0.1 or later
- —upgrade to 0.24.dev0 or later
Is CVE-2020-28975 being exploited?
Low — EPSS is 3.4%, meaning exploitation activity has not been observed at scale.
Affected packages (2)
- >= 0.23.2, < 1.0.1
- from 0, < 0.24.dev0
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 3.1 | HIGH7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |