CVE-2020-26266: Use of Uninitialized Resource

December 10, 2020 (updated December 14, 2020)

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen.

References

nvd.nist.gov/vuln/detail/CVE-2020-26266

Detect and mitigate CVE-2020-26266 with GitLab Dependency Scanning

Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →