If 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.
import tensorflow as tf
tf.raw_ops.EmptyTensorList(element_shape=tf.ones(dtype=tf.int32, shape=[1, 0]), max_num_elements=tf.constant(1),element_dtype=tf.int32)
We have patched the issue in GitHub commit c8ba76d48567aed347508e0552a257641931024d.
The 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.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported by Kang Hong Jin.
{ "nvd_published_at": "2022-09-16T23:15:00Z", "github_reviewed_at": "2022-09-16T22:09:57Z", "severity": "MODERATE", "github_reviewed": true, "cwe_ids": [ "CWE-617" ] }