CVE-2021-29596: Division by zero in TFLite's implementation of `EmbeddingLookup`

Published May 14, 2021
·
Updated

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the EmbeddingLookup TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e4b29809543b250bc9b19678ec4776299dd569ba/tensorflow/lite/kernels/embeddinglookup.cc#L73-L74). An attacker can craft a model such that the first dimension of the value input 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.

Other sources

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

cc const int rowsize = SizeOfDimension(value, 0); const int rowbytes = value->bytes / rowsize;

An attacker can craft a model such that the first dimension of the value input is 0.

Patches We have patched the issue in GitHub commit f61c57bd425878be108ec787f4d96390579fb83e.

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.

GitHub

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·07:22 PM
Data Sourced
via MITRE·07:22 PM
DescriptionSeverityWeakness
May 21, 2021
Advisory Published
via GitHub·02:27 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-29596?

CVE-2021-29596 has a high severity due to the potential for a division by zero error in TensorFlow.

2

How do I fix CVE-2021-29596?

To fix CVE-2021-29596, update TensorFlow to version 2.4.2 or later.

3

Which versions of TensorFlow are affected by CVE-2021-29596?

CVE-2021-29596 affects TensorFlow versions prior to 2.1.4, between 2.2.0 and 2.2.3, between 2.3.0 and 2.3.3, and between 2.4.0 and 2.4.2.

4

What does CVE-2021-29596 impact in TensorFlow?

CVE-2021-29596 impacts the `EmbeddingLookup` TFLite operator, resulting in a denial of service due to a division by zero.

5

Can CVE-2021-29596 lead to data loss?

CVE-2021-29596 does not directly lead to data loss but can cause application crashes affecting the availability of services using TensorFlow.

Contact

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