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
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
Long-Term Security Practices
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.