chore: import upstream snapshot with attribution

tensorflow/security/advisory/tfsa-2021-139.md

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+## TFSA-2021-139: Incomplete validation in MKL requantization
+
+### CVE Number
+CVE-2021-37665
+
+### Impact
+Due to incomplete validation in MKL implementation of requantization, an
+attacker can trigger undefined behavior via binding a reference to a null
+pointer or can access data outside the bounds of heap allocated arrays:
+
+```python
+import tensorflow as tf
+
+tf.raw_ops.RequantizationRangePerChannel(
+  input=[],
+  input_min=[0,0,0,0,0],
+  input_max=[1,1,1,1,1],
+  clip_value_max=1)
+```
+
+The
+[implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc)
+does not validate the dimensions of the `input` tensor.
+
+A similar issue occurs in `MklRequantizePerChannelOp`:
+
+```python
+import tensorflow as tf
+from tensorflow.python.ops import gen_math_ops
+
+gen_math_ops.requantize_per_channel(
+  input=[],
+  input_min=[-100,-100,-100,-100,-100],
+  input_max=[-100,-100,-100],
+  requested_output_min=[-100,-100,-100,-100,-100],
+  requested_output_max=[],
+  out_type=tf.int)
+```
+
+The
+[implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc)
+does not perform full validation for all the input arguments.
+
+### Patches
+We have patched the issue in GitHub commit
+[9e62869465573cb2d9b5053f1fa02a81fce21d69](https://github.com/tensorflow/tensorflow/commit/9e62869465573cb2d9b5053f1fa02a81fce21d69)
+and in the Github commit
+[203214568f5bc237603dbab6e1fd389f1572f5c9](https://github.com/tensorflow/tensorflow/commit/203214568f5bc237603dbab6e1fd389f1572f5c9).
+
+The fix will be included in TensorFlow 2.6.0. We will also cherrypick this
+commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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.