Safety vulnerability ID: 58198
The information on this page was manually curated by our Cybersecurity Intelligence Team.
Tensorflow-rocm-enhanced versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0 includes a fix for CVE-2020-26266: In affected versions and under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen.
Latest version: 2.4.3
TensorFlow is an open source machine learning framework for everyone.
This vulnerability has no description
Scan your Python project for dependency vulnerabilities in two minutes
Scan your application