CVE-2021-41222: Segfault due to negative splits in `SplitV`

Published Nov 5, 2021
·
Updated

Impact The implementation of SplitV can trigger a segfault is an attacker supplies negative arguments:

python import tensorflow as tf

tf.rawops.SplitV( value=tf.constant([]), sizesplits=[-1, -2] ,axis=0, numsplit=2) This occurs whenever sizesplits contains more than one value and at least one value is negative. Patches We have patched the issue in GitHub commit 25d622ffc432acc736b14ca3904177579e733cc6.

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 members of the Aivul Team from Qihoo 360.

Other sources

TensorFlow is an open source platform for machine learning. In affected versions the implementation of SplitV can trigger a segfault is an attacker supplies negative arguments. This occurs whenever sizesplits contains more than one value and at least one value is negative. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected Software

13 affected componentsFixes available
Google TensorFlow>=2.4.0<2.4.4
Google TensorFlow>=2.6.0<2.6.1
Google TensorFlow=2.7.0-rc0
Google TensorFlow=2.7.0-rc1
pip/tensorflow-gpu<2.4.4
2.4.4
pip/tensorflow-gpu>=2.5.0<2.5.2
2.5.2
pip/tensorflow-gpu>=2.6.0<2.6.1
2.6.1
pip/tensorflow-cpu<2.4.4
2.4.4
pip/tensorflow-cpu>=2.5.0<2.5.2
2.5.2
pip/tensorflow-cpu>=2.6.0<2.6.1
2.6.1
pip/tensorflow<2.4.4
2.4.4
pip/tensorflow>=2.5.0<2.5.2
2.5.2
pip/tensorflow>=2.6.0<2.6.1
2.6.1

Event History

Nov 5, 2021
CVE Published
via MITRE·10:30 PM
Data Sourced
via MITRE·10:30 PM
DescriptionSeverityWeakness
Data Sourced
11:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Nov 10, 2021
Advisory Published
via GitHub·06:48 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-41222?

CVE-2021-41222 is considered to be a high severity vulnerability due to the potential for segmentation faults when negative arguments are supplied.

2

How do I fix CVE-2021-41222?

To fix CVE-2021-41222, upgrade to TensorFlow versions 2.4.4, 2.5.2, or 2.6.1 which address this issue.

3

Which versions of TensorFlow are affected by CVE-2021-41222?

CVE-2021-41222 affects TensorFlow versions 2.4.0 to 2.4.4, 2.6.0 to 2.6.1, and 2.7.0-rc0 and 2.7.0-rc1.

4

What kind of attacks can CVE-2021-41222 enable?

CVE-2021-41222 can enable denial of service attacks through segmentation faults caused by improperly handled negative arguments.

5

Is CVE-2021-41222 a problem in both TensorFlow CPU and GPU packages?

Yes, CVE-2021-41222 is a vulnerability present in both TensorFlow CPU and GPU packages.

Contact

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