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Uncontrolled Resource Consumption

CVE-2020-28975

High
7.5/10

Summary

The "svm_predict_values" in "svm.cpp" in Libsvm, as used in scikit-learn versions 0.23.2 through 1.0 and other products, allows attackers to cause a Denial-of-Service (DoS) attack (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.

  • LOW
  • NETWORK
  • NONE
  • UNCHANGED
  • NONE
  • NONE
  • NONE
  • HIGH

CWE-400 - Uncontrolled resource consumption

An uncontrolled resource allocation attack (also known as resource exhaustion attack) triggers unauthorized overconsumption of the limited resources in an application, such as memory, file system storage, database connection pool entries, and CPU. This may lead to denial of service for valid users and degradation of the application's functionality as well as that of the host operating system.

References

Advisory Timeline

  • Published