CVE-2021-29597: Division by zero in TFLite's implementation of `SpaceToBatchNd`

Published May 14, 2021
·
Updated

Impact The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error:

cc TFLITEENSUREEQ(context, finaldimsize % blockshape[dim], 0); outputsize->data[dim + 1] = finaldimsize / blockshape[dim];

An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in blockshape is 0.

Patches We have patched the issue in GitHub commit 6d36ba65577006affb272335b7c1abd829010708.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in blockshape is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected Software

16 affected componentsFixes available
pip/tensorflow-gpu>=2.4.0<2.4.2
2.4.2
pip/tensorflow-gpu>=2.3.0<2.3.3
2.3.3
pip/tensorflow-gpu>=2.2.0<2.2.3
2.2.3
pip/tensorflow-gpu<2.1.4
2.1.4
pip/tensorflow-cpu>=2.4.0<2.4.2
2.4.2
pip/tensorflow-cpu>=2.3.0<2.3.3
2.3.3
pip/tensorflow-cpu>=2.2.0<2.2.3
2.2.3
pip/tensorflow-cpu<2.1.4
2.1.4
pip/tensorflow>=2.4.0<2.4.2
2.4.2
pip/tensorflow>=2.3.0<2.3.3
2.3.3
pip/tensorflow>=2.2.0<2.2.3
2.2.3
pip/tensorflow<2.1.4
2.1.4
Google TensorFlow<2.1.4
Google TensorFlow>=2.2.0<2.2.3
Google TensorFlow>=2.3.0<2.3.3
Google TensorFlow>=2.4.0<2.4.2

Event History

May 14, 2021
CVE Published
via MITRE·07:21 PM
Data Sourced
via MITRE·07:21 PM
DescriptionSeverityWeakness
May 21, 2021
Advisory Published
via GitHub·02:27 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-29597?

CVE-2021-29597 is considered a medium severity vulnerability due to the potential for a division by zero error leading to application crashes.

2

How do I fix CVE-2021-29597?

To fix CVE-2021-29597, update TensorFlow to version 2.4.2 or higher, or downgrade to the fixed versions of 2.3.3, 2.2.3, and below 2.1.4.

3

Which TensorFlow versions are affected by CVE-2021-29597?

CVE-2021-29597 affects TensorFlow versions prior to 2.4.2, specifically versions 2.1.0 to 2.1.4, and between 2.2.0 to 2.2.3, as well as 2.3.0 to 2.3.3.

4

Is CVE-2021-29597 related to any specific TensorFlow operator?

Yes, CVE-2021-29597 is specifically related to the `SpaceToBatchNd` operator in TensorFlow Lite.

5

What are the potential impacts of CVE-2021-29597?

The potential impacts of CVE-2021-29597 include application crashes and failures during execution due to unhandled exceptions from a division by zero error.

Contact

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