SOC status:Duty analyst on shift

UK Cyber Defence
VulnerabilityModified

CVE-2020-28975

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…

HIGH 7.5EPSS 3.50%

Does this matter?

High impact if exploited, but EPSS currently rates exploitation as unlikely (3.50%). Schedule it in the normal patch cycle and watch for a rise in EPSS or a public exploit.

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.

CVSS 3.1
7.5 HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS
3.50% probability · 88th percentile
CISA KEV
Not listed
Affected
scikit-learn/scikit-learn
Source
cve@mitre.org

Source: NVD record, EPSS from FIRST.org, KEV from CISA. Refreshed daily.