CVE-2022-21735: Division by zero in Tensorflow
Impact The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0:
python import tensorflow as tf import numpy as np
tf.rawops.FractionalMaxPool( value=tf.constant(value=[[[[1, 4, 2, 3]]]], dtype=tf.int64), poolingratio=[1.0, 1.44, 1.73, 1.0], pseudorandom=False, overlapping=False, deterministic=False, seed=0, seed2=0, name=None)
Patches We have patched the issue in GitHub commit ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb.
The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
For more information Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
Attribution This vulnerability has been reported by Faysal Hossain Shezan from University of Virginia.
Other sources
Tensorflow is an Open Source Machine Learning Framework. The implementation of FractionalMaxPool can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is the severity of CVE-2022-21735?
CVE-2022-21735 is considered a high severity vulnerability due to its potential to crash a TensorFlow process.
How do I fix CVE-2022-21735?
To fix CVE-2022-21735, upgrade TensorFlow to versions 2.5.3, 2.6.3, or 2.7.1 or later.
What is the impact of CVE-2022-21735?
The impact of CVE-2022-21735 can lead to a denial of service caused by a division by zero error in the TensorFlow implementation.
Which versions of TensorFlow are affected by CVE-2022-21735?
CVE-2022-21735 affects TensorFlow versions up to 2.5.2, between 2.6.0 and 2.6.2, and the specific version 2.7.0.
What components in TensorFlow are vulnerable due to CVE-2022-21735?
The vulnerability in CVE-2022-21735 resides in the implementation of the FractionalMaxPool operation within TensorFlow.