Advisory Package Curation

### 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 https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40 has no validation that the input arguments specify a valid sparse tensor. ### Patches We have patched the issue in GitHub commit 1d04d7d93f4ed3854abf75d6b712d72c3f70d6b6 https://github.com/tensorflow/tensorflow/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 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 Ying Wang and Yakun Zhang of Baidu X-Team.

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) ```

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) ```

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) ```

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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.

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in `SparseReshape` results in a denial of service based on a `CHECK`-failure. The implementation(https://github.com/tensorflow/tensorflow/blob/e87b51ce05c3eb172065a6ea5f48415854223285/tensorflow/core/kernels/sparse_reshape_op.cc#L40) has no validation that the input arguments specify a valid sparse tensor. 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.