GHSA-xf83-q765-xm6m `CHECK` fail in `TensorListScatter` and `TensorListScatterV2` in eager mode

• PyPI tensorflow: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow: >= 2.10.0, < 2.10.1 → fixed in 2.10.1 • PyPI tensorflow-cpu: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow-gpu: < 2.8.4 → fixed in 2.8.4 • PyPI tensorflow-cpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow-gpu: >= 2.9.0, < 2.9.3 → fixed in 2.9.3 • PyPI tensorflow-cpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1 • PyPI tensorflow-gpu: >= 2.10.0, < 2.10.1 → fixed in 2.10.1

Impact Another instance of CVE-2022-35991, where `TensorListScatter` and `TensorListScatterV2` crash via non scalar inputs in`element_shape`, was found in eager mode and fixed. ```python import tensorflow as tf arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None) arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536) arg_3='' tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1, element_shape=arg_2, name=arg_3) ``` Patches We have patched the issue in GitHub commit bf9932fc907aff0e9e8cccf769e8b00d30fd81a1. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions. Attribution This vulnerability has been reported by Pattarakrit Rattankul