Vulnerability: `CHECK` failure in depthwise ops via overflows ### Impact
The implementation of depthwise ops in TensorFlow is vulnerable to a denial of service via `CHECK`-failure (assertion failure) caused by overflowing the number of elements in a tensor:

```python
import tensorflow as tf

input = tf.constant(1, shape=[1, 4, 4, 3], dtype=tf.float32)
filter_sizes = tf.constant(1879048192, shape=[13], dtype=tf.int32)
out_backprop = tf.constant(1, shape=[1, 4, 4, 3], dtype=tf.float32)
tf.raw_ops.DepthwiseConv2dNativeBackpropFilter(
    input=input, filter_sizes=filter_sizes, out_backprop=out_backprop, strides=[1, 1, 1, 1], padding="SAME")
```
  
This is another instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (CVE-2021-41197).
  
### Patches
We have patched the issue in GitHub commit [3796cc4fcd93ae55812a457abc96dcd55fbb854b](https://github.com/tensorflow/tensorflow/commit/3796cc4fcd93ae55812a457abc96dcd55fbb854b).

The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.

### For more information
Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.

### Attribution
This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
Vulnerability ID: GHSA-mw6j-hh29-h379
CWE: CWE-190
Severity score: 0
Project: https://github.com/tensorflow/tensorflow
Published: 2022-05-25
File: tensorflow/core/kernels/depthwise_conv_grad_op.cc
Commit message: Fix tf.raw_ops.DepthwiseConv2dNativeBackpropInput vulnerability with large input sizes.

Use AddDimWithStatus rather than AddDim in order to catch and report integer overflow gracefully.

PiperOrigin-RevId: 444989983
Commit author: Alan Liu

Vulnerable version (before fix):
 class DepthwiseConv2dNativeBackpropInputOp : public OpKernel {       OP_REQUIRES(context, in_sizes_data[i] >= 0,                   errors::InvalidArgument("Dimension ", i,                                           " of input_sizes must be >= 0"));       input_shape.AddDim(in_sizes_data[i]);     }     const TensorShape& filter_shape = filter.shape();     EXTRACT_AND_VERIFY_DIMENSIONS("DepthwiseConv2DBackpropInput"); class DepthwiseConv2dNativeBackpropFilterOp : public OpKernel {       OP_REQUIRES(context, filter_sizes_data[i] >= 0,                   errors::InvalidArgument("Dimension ", i,                                           " of filter_sizes must be >= 0"));       filter_shape.AddDim(filter_sizes_data[i]);     }     const TensorShape& input_shape = input.shape(); 

Fixed version (after fix):
 class DepthwiseConv2dNativeBackpropInputOp : public OpKernel {       OP_REQUIRES(context, in_sizes_data[i] >= 0,                   errors::InvalidArgument("Dimension ", i,                                           " of input_sizes must be >= 0"));       OP_REQUIRES_OK(context, input_shape.AddDimWithStatus(in_sizes_data[i]));     }     const TensorShape& filter_shape = filter.shape();     EXTRACT_AND_VERIFY_DIMENSIONS("DepthwiseConv2DBackpropInput"); class DepthwiseConv2dNativeBackpropFilterOp : public OpKernel {       OP_REQUIRES(context, filter_sizes_data[i] >= 0,                   errors::InvalidArgument("Dimension ", i,                                           " of filter_sizes must be >= 0"));       OP_REQUIRES_OK(context,                      filter_shape.AddDimWithStatus(filter_sizes_data[i]));     }     const TensorShape& input_shape = input.shape(); 

Patch:
patch: @@ -625,7 +625,7 @@ class DepthwiseConv2dNativeBackpropInputOp : public OpKernel {
       OP_REQUIRES(context, in_sizes_data[i] >= 0,
                   errors::InvalidArgument("Dimension ", i,
                                           " of input_sizes must be >= 0"));
-      input_shape.AddDim(in_sizes_data[i]);
+      OP_REQUIRES_OK(context, input_shape.AddDimWithStatus(in_sizes_data[i]));
     }
     const TensorShape& filter_shape = filter.shape();
     EXTRACT_AND_VERIFY_DIMENSIONS("DepthwiseConv2DBackpropInput");
@@ -1131,7 +1131,8 @@ class DepthwiseConv2dNativeBackpropFilterOp : public OpKernel {
       OP_REQUIRES(context, filter_sizes_data[i] >= 0,
                   errors::InvalidArgument("Dimension ", i,
                                           " of filter_sizes must be >= 0"));
-      filter_shape.AddDim(filter_sizes_data[i]);
+      OP_REQUIRES_OK(context,
+                     filter_shape.AddDimWithStatus(filter_sizes_data[i]));
     }
     const TensorShape& input_shape = input.shape();
path: tensorflow/core/kernels/depthwise_conv_grad_op.cc