Division By Zero Error

TensorFlow is vulnerable to a Division By Zero Error. The vulnerability is due to a division by zero error in the TFLite implementation of hashtable lookup when the values tensor's first dimension is 0, allowing an attacker to craft a model that, when processed, triggers the division by zero erro...

BIT-TENSORFLOW-2020-15198 Heap buffer overflow in Tensorflow

In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed...

CVE-2020-15198 Heap buffer overflow in Tensorflow

In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has the same shape as the values one. The values in these tensors are always accessed...