CVE-2022-21738: Integer overflow leading to crash in Tensorflow

Published Feb 3, 2022
·
Updated

Impact The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation:

python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput( indices=[[1,1]], values=[2], denseshape=[2 31, 2 32], weights=[1], binaryoutput=True, minlength=-1, maxlength=-1, name=None)

Patches We have patched the issue in GitHub commit 6f4d3e8139ec724dbbcb40505891c81dd1052c4a.

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 SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. 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

12 affected componentsFixes available
pip/tensorflow-gpu=2.7.0
2.7.1
pip/tensorflow-gpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-gpu<2.5.3
2.5.3
pip/tensorflow-cpu=2.7.0
2.7.1
pip/tensorflow-cpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-cpu<2.5.3
2.5.3
pip/tensorflow=2.7.0
2.7.1
pip/tensorflow>=2.6.0<2.6.3
2.6.3
pip/tensorflow<2.5.3
2.5.3
Google TensorFlow<=2.5.2
Google TensorFlow>=2.6.0<=2.6.2
Google TensorFlow=2.7.0

Event History

Feb 3, 2022
CVE Published
via MITRE·01:19 PM
Data Sourced
via MITRE·01:19 PM
DescriptionSeverity
Feb 9, 2022
Advisory Published
via GitHub·11:45 PM

Frequently Asked Questions

1

What is the severity of CVE-2022-21738?

CVE-2022-21738 has been classified as a high severity vulnerability due to its impact on system stability.

2

How do I fix CVE-2022-21738?

To mitigate CVE-2022-21738, upgrade TensorFlow to version 2.7.1 or later.

3

What versions of TensorFlow are affected by CVE-2022-21738?

CVE-2022-21738 affects TensorFlow versions prior to 2.7.1, including those between 2.5.2 and 2.6.2.

4

What systems are at risk from CVE-2022-21738?

Any system running the vulnerable versions of TensorFlow, particularly those utilizing the `SparseCountSparseOutput` function, is at risk.

5

What type of vulnerability is CVE-2022-21738?

CVE-2022-21738 is an integer overflow vulnerability that can lead to the crashing of a TensorFlow process.

Contact

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