CVE-2020-15197

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 rank 2. This tensor must be a matrix because code assumes its elements are access...

CVE-2020-15197

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 rank 2. This tensor must be a matrix because code assumes its elements are access...

CVE-2020-15197

TensorFlow prior to 2.3.1 is affected by CVE-2020-15197 due to a validation gap in SparseCountSparseOutput: the indices tensor is not checked to be rank 2, though code treats it as a matrix. This can allow crafted input sparse tensors to cause a CHECK failure and crash, enabling denial of service...