CVE-2020-26266: In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code

CVE-2020-26266 is a vulnerability in TensorFlow where saved models can accidentally use uninitialized values (memory locations that haven't been set to a starting value) during execution because certain floating point data types weren't properly initialized in the Eigen library (a math processing component). This is a use of uninitialized resource (CWE-908) type bug that could lead to unpredictable behavior when running affected models.