CVE-2021-41223 — Heap OOB read in `FusedBatchNorm` kernels

Affected: tensorflow

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `FusedBatchNorm` kernels is vulnerable to a heap OOB access. 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.

GHSA-f54p-f6jp-4rhr — Heap OOB in `FusedBatchNorm` kernels

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### Impact The [implementation](https://github.com/tensorflow/tensorflow/blob/e71b86d47f8bc1816bf54d7bddc4170e47670b97/tensorflow/core/kernels/fused_batch_norm_op.cc#L1292) of `FusedBatchNorm` kernels is vulnerable to a heap OOB:

```python import tensorflow as tf tf.raw_ops.FusedBatchNormGrad( y_backprop=tf.constant([i for i in range(9)],shape=(1,1,3,3),dtype=tf.float32) x=tf.constant([i for i in range(2)],shape=(1,1,1,2),dtype=tf.float32) scale=[1,1], reserve_space_1=[1,1], reserve_space_2=[1,1,1], epsilon=1.0, data_format='NCHW', is_training=True) ``` ### Patches We have patched the issue in GitHub commit [aab9998916c2ffbd8f0592059fad352622f89cda](https://github.com/tensorflow/tensorflow/commit/aab9998916c2ffbd8f0592059fad352622f89cda).

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.

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CVE-2021-41223 — Heap OOB read in `FusedBatchNorm` kernels

GHSA-f54p-f6jp-4rhr — Heap OOB in `FusedBatchNorm` kernels