Cloud Defense Logo

Products

Solutions

Company

Book A Live Demo

CVE-2020-28975 : What You Need to Know

Learn about CVE-2020-28975, a vulnerability in Libsvm v324 affecting scikit-learn 0.23.2 and other products, leading to a denial of service attack via a crafted model SVM.

CVE-2020-28975 is a vulnerability in Libsvm v324, affecting scikit-learn 0.23.2 and other products, potentially leading to a denial of service attack due to a segmentation fault. The issue arises from crafted model SVM with a large value in the _n_support array.

Understanding CVE-2020-28975

This CVE involves a vulnerability in Libsvm v324 that can be exploited to cause a denial of service attack.

What is CVE-2020-28975?

The vulnerability in svm_predict_values in svm.cpp in Libsvm v324 allows attackers to trigger a denial of service via a crafted model SVM with a large value in the _n_support array.

The Impact of CVE-2020-28975

The exploitation of this vulnerability can lead to a denial of service attack, specifically causing a segmentation fault.

Technical Details of CVE-2020-28975

This section provides more technical insights into the CVE.

Vulnerability Description

The vulnerability in Libsvm v324 can be exploited by attackers to cause a denial of service through a segmentation fault by manipulating the _n_support array.

Affected Systems and Versions

        Vendor: n/a
        Product: n/a
        Versions Affected: All versions are affected.

Exploitation Mechanism

The vulnerability can be exploited by introducing a crafted model SVM with a large value in the _n_support array, typically via pickle, json, or any other model permanence standard.

Mitigation and Prevention

Protecting systems from CVE-2020-28975 requires immediate actions and long-term security practices.

Immediate Steps to Take

        Apply patches or updates provided by the vendor promptly.
        Avoid loading models from untrusted sources.
        Monitor for any unusual system behavior that could indicate an ongoing attack.

Long-Term Security Practices

        Regularly update software and libraries to the latest versions.
        Implement proper input validation to prevent malicious inputs.
        Conduct security audits and code reviews regularly.

Patching and Updates

Ensure that the affected software, such as scikit-learn, is updated to a version that addresses the CVE to mitigate the risk of exploitation.

Popular CVEs

CVE Id

Published Date

Is your System Free of Underlying Vulnerabilities?
Find Out Now