Advisory Package Curation

TensorFlow has Segfault in Bincount with XLA ### 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

Incorrect Comparison TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 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. A fix is included in TensorFlow 2.12.0 and 2.11.1.

TensorFlow has Segfault in Bincount with XLA ### 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

TensorFlow has Segfault in Bincount with XLA ### 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