1## TFSA-2022-122: `CHECK` fail in `EmptyTensorList` 2 3### CVE Number 4CVE-2022-35998 5 6### Impact 7If `EmptyTensorList` receives an input `element_shape` with more than one dimension, it gives a `CHECK` fail that can be used to trigger a denial of service attack. 8```python 9import tensorflow as tf 10 11tf.raw_ops.EmptyTensorList(element_shape=tf.ones(dtype=tf.int32, shape=[1, 0]), max_num_elements=tf.constant(1),element_dtype=tf.int32) 12``` 13 14### Patches 15We have patched the issue in GitHub commit [c8ba76d48567aed347508e0552a257641931024d](https://github.com/tensorflow/tensorflow/commit/c8ba76d48567aed347508e0552a257641931024d). 16 17The 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. 18 19 20### For more information 21Please 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. 22 23 24### Attribution 25This vulnerability has been reported by Kang Hong Jin. 26