GHSA-fr77-rrx3-cp7g Heap OOB read in `tf.ragged.cross`

• PyPI tensorflow: >= 2.6.0, < 2.6.1 → fixed in 2.6.1 • PyPI tensorflow: >= 2.5.0, < 2.5.2 → fixed in 2.5.2 • PyPI tensorflow: < 2.4.4 → fixed in 2.4.4 • PyPI tensorflow-cpu: >= 2.6.0, < 2.6.1 → fixed in 2.6.1 • PyPI tensorflow-cpu: >= 2.5.0, < 2.5.2 → fixed in 2.5.2 • PyPI tensorflow-cpu: < 2.4.4 → fixed in 2.4.4 • PyPI tensorflow-gpu: >= 2.6.0, < 2.6.1 → fixed in 2.6.1 • PyPI tensorflow-gpu: >= 2.5.0, < 2.5.2 → fixed in 2.5.2 • PyPI tensorflow-gpu: < 2.4.4 → fixed in 2.4.4

Impact The shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array: ```python import tensorflow as tf @tf.function def test(): y = tf.raw_ops.RaggedCross(ragged_values=[], ragged_row_splits=[], sparse_indices=[[5]], sparse_values=[], sparse_shape=[5], dense_inputs=[['a']], input_order='RD', hashed_output=False, num_buckets=5, hash_key=2, out_values_type=tf.string, out_row_splits_type=tf.int64) return y test() ``` Patches We have patched the issue in GitHub commit fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.