GHSA-jq6x-99hj-q636 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs

• 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 If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: ```python np.ones((0, 231, 231)) ``` An example of a proof of concept: ```python import numpy as np import tensorflow as tf input_val = tf.constant([1]) shape_val = np.array([i for i in range(21)]) tf.broadcast_to(input=input_val,shape=shape_val) ``` The return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked. Patches We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. 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 Rattanukul.