Vulnerability: Heap buffer overflow in `Transpose` ### Impact
The [shape inference function for `Transpose`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc#L121-L185) is vulnerable to a heap buffer overflow:

```python
import tensorflow as tf
@tf.function
def test():
  y = tf.raw_ops.Transpose(x=[1,2,3,4],perm=[-10])
  return y

test()
```

This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid:
        
```cc
for (int32_t i = 0; i < rank; ++i) {
  int64_t in_idx = data[i];
  if (in_idx >= rank) {
    return errors::InvalidArgument("perm dim ", in_idx,
                                   " is out of range of input rank ", rank);
  }
  dims[i] = c->Dim(input, in_idx);
}
```

where `Dim(tensor, index)` accepts either a positive index less than the rank of the tensor or the special value `-1` for unknown dimensions.

### Patches
We have patched the issue in GitHub commit [c79ba87153ee343401dbe9d1954d7f79e521eb14](https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14).

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.
Vulnerability ID: GHSA-3ff2-r28g-w7h9
CWE: CWE-120
Severity score: 5.5
Project: https://github.com/tensorflow/tensorflow
Published: 2021-11-10
File: tensorflow/core/ops/array_ops.cc
Commit message: Make Transpose's shape inference function validate that negative `perm` values are within the tensor's rank.

PiperOrigin-RevId: 403252853
Change-Id: Ia6b31b45b237312668bb31c2c3b3c7bbce2d2610
Commit author: Penporn Koanantakool

Vulnerable version (before fix):
 Status TransposeShapeFn(InferenceContext* c) {      for (int32_t i = 0; i < rank; ++i) {       int64_t in_idx = data[i];       if (in_idx >= rank) {         return errors::InvalidArgument("perm dim ", in_idx,                                        " is out of range of input rank ", rank);       }

Fixed version (after fix):
 Status TransposeShapeFn(InferenceContext* c) {      for (int32_t i = 0; i < rank; ++i) {       int64_t in_idx = data[i];       if (in_idx >= rank || in_idx <= -rank) {         return errors::InvalidArgument("perm dim ", in_idx,                                        " is out of range of input rank ", rank);       }

Patch:
patch: @@ -168,7 +168,7 @@ Status TransposeShapeFn(InferenceContext* c) {
 
     for (int32_t i = 0; i < rank; ++i) {
       int64_t in_idx = data[i];
-      if (in_idx >= rank) {
+      if (in_idx >= rank || in_idx <= -rank) {
         return errors::InvalidArgument("perm dim ", in_idx,
                                        " is out of range of input rank ", rank);
       }
path: tensorflow/core/ops/array_ops.cc