chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
commit 8a852e4b4e
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+## TFSA-2023-019: FPE in AvgPoolGrad with XLA
+
+### CVE Number
+CVE-2023-25669
+
+### Impact
+If the stride and window size are not positive for `tf.raw_ops.AvgPoolGrad`, it can give an FPE.
+
+```python
+import tensorflow as tf
+import numpy as np
+
+@tf.function(jit_compile=True)
+def test():
+   y = tf.raw_ops.AvgPoolGrad(orig_input_shape=[1,0,0,0], grad=[[[[0.39117979]]]], ksize=[1,0,0,0], strides=[1,0,0,0], padding="SAME", data_format="NCHW")
+   return y
+
+print(test())
+```
+
+### Patches
+We have patched the issue in GitHub commit [1295ae4dbb52fe06b19733b0257e2340d7b63b8d](https://github.com/tensorflow/tensorflow/commit/1295ae4dbb52fe06b19733b0257e2340d7b63b8d).
+
+The fix will be included in TensorFlow 2.12. We will also cherrypick this commit on TensorFlow 2.11.1.
+
+
+### 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 r3pwnx of 360 AIVul Team