CVE-2020-28975 Vulnerability Details

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CVE-2020-28975 Metadata Quick Info

CVE Published: 21/11/2020 | CVE Updated: 04/08/2024 | CVE Year: 2020
Source: mitre | Vendor: n/a | Product: n/a
Status : PUBLISHED

CVE-2020-28975 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.

Metrics

CVSS Version: 3.1 | Base Score: n/a
Vector: n/a

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    User Interaction (UI)*
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l➤ Impact Metrics:
    Confidentiality Impact (C)*
    Integrity Impact (I)*
    Availability Impact (A)*

Weakness Enumeration (CWE)

CWE-ID:
CWE Name: n/a
Source: n/a

Common Attack Pattern Enumeration and Classification (CAPEC)

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Source: NVD (National Vulnerability Database).