CWE-369

A floating point exception (divide-by-zero) issue was discovered in SoX in functon startread() of wav.c file. An attacker with a crafted wav file, could cause an application to crash.

When performing the analytical operation of the DepthwiseConv2D operator, if the attribute depth_multiplier is 0, it will cause a division by 0 exception.

When the Reduce operator run operation is executed, if there is a value of 0 in the parameter axis_sizes element, it will cause a division by 0 exception.

When performing the derivation shape operation of the SpaceToBatch operator, if there is a value of 0 in the parameter block_shape element, it will cause a division by 0 exception.

When performing the initialization operation of the Split operator, if a dimension in the input shape is 0, it will cause a division by 0 exception.

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` is vulnerable to a division by 0. The implementation(https://github.com/tensorflow/tensorflow/blob/279bab6efa22752a2827621b7edb56a730233bd8/tensorflow/core/kernels/maxpooling_op.cc#L1033-L1034) fails to validate that the batch dimension of the tensor is non-zero, before dividing by this quantity. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.