chore: import upstream snapshot with attribution

2026-07-13 12:14:16 +08:00
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+## TFSA-2023-007: Segfault in Bincount with XLA
+
+### CVE Number
+CVE-2023-25675
+
+### Impact
+When running with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor.
+
+```python
+import tensorflow as tf
+
+func = tf.raw_ops.Bincount
+para={'arr': 6, 'size': 804, 'weights': [52, 351]}
+
+@tf.function(jit_compile=True)
+def fuzz_jit():
+ y = func(**para)
+ return y
+
+print(fuzz_jit())
+```
+
+### Patches
+We have patched the issue in GitHub commit [8ae76cf085f4be26295d2ecf2081e759e04b8acf](https://github.com/tensorflow/tensorflow/commit/8ae76cf085f4be26295d2ecf2081e759e04b8acf).
+
+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