CVE-2021-29589: Division by zero in TFLite's implementation of `GatherNd`

Published May 14, 2021
·
Updated

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

cc ret.dimstocount[i] = remainflatsize / paramsshape.Dims(i);

An attacker can craft a model such that params input would be an empty tensor. In turn, paramsshape.Dims(.) would be zero, in at least one dimension.

Patches We have patched the issue in GitHub commit 8e45822aa0b9f5df4b4c64f221e64dc930a70a9d.

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 reference implementation of the GatherNd TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/referenceops.h#L966). An attacker can craft a model such that params input would be an empty tensor. In turn, paramsshape.Dims(.) would be zero, in at least one dimension. 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>=2.3.0<2.3.3
2.3.3
pip/tensorflow-gpu>=2.4.0<2.4.2
2.4.2
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·07:22 PM
Data Sourced
via MITRE·07:22 PM
DescriptionSeverityWeakness
May 21, 2021
Advisory Published
via GitHub·02:26 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-29589?

CVE-2021-29589 has a moderate severity level due to the potential impact of a division by zero error in the TensorFlow Lite `GatherNd` operator.

2

How do I fix CVE-2021-29589?

To fix CVE-2021-29589, upgrade your TensorFlow package to one of the patched versions: 2.1.4, 2.2.3, 2.3.3, or 2.4.2.

3

Which versions of TensorFlow are affected by CVE-2021-29589?

CVE-2021-29589 affects TensorFlow versions prior to 2.1.4, 2.2.0 to 2.2.3, 2.3.0 to 2.3.3, and 2.4.0 to 2.4.2.

4

What is the nature of the vulnerability in CVE-2021-29589?

CVE-2021-29589 is a division by zero vulnerability in the TensorFlow Lite `GatherNd` operator that can lead to program crashes.

5

Is CVE-2021-29589 limited to TensorFlow GPU versions?

No, CVE-2021-29589 affects both TensorFlow CPU and GPU versions, along with all TensorFlow packages.

Contact

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