CVE-2021-29598: Division by zero in TFLite's implementation of `SVDF`

Published May 14, 2021
·
Updated

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

cc const int rank = params->rank; ... TFLITEENSUREEQ(context, numfilters % rank, 0);

An attacker can craft a model such that params->rank would be 0.

Patches We have patched the issue in GitHub commit 6841e522a3e7d48706a02e8819836e809f738682.

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 SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 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-2021-29598?

CVE-2021-29598 is classified as a critical vulnerability due to the potential for a division by zero error in the SVDF TFLite operator.

2

How do I fix CVE-2021-29598?

To fix CVE-2021-29598, update your TensorFlow installation to version 2.1.4 or higher, specifically to 2.4.2 to mitigate the vulnerability.

3

Which versions of TensorFlow are affected by CVE-2021-29598?

CVE-2021-29598 affects TensorFlow versions up to 2.1.4 and versions from 2.2.0 to 2.4.2.

4

What is the impact of CVE-2021-29598?

The impact of CVE-2021-29598 could lead to application crashes or unexpected behavior when utilizing the SVDF TFLite operator.

5

Where can I find more information about CVE-2021-29598?

More information about CVE-2021-29598 can be found in the official TensorFlow GitHub repository and their security advisories.

Contact

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