medium
6.5
CWE
369
Advisory Published
Advisory Published
Updated

CVE-2022-21741: Division by zero in TFLite

First published: Thu Feb 03 2022(Updated: )

### Impact An attacker can craft a TFLite model that would trigger a division by zero in [the implementation of depthwise convolutions](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/lite/kernels/depthwise_conv.cc#L96). The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is stricly positive. ### Patches We have patched the issue in GitHub commit [e5b0eec199c2d03de54fd6a7fd9275692218e2bc](https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Wang Xuan of Qihoo 360 AIVul Team.

Credit: security-advisories@github.com security-advisories@github.com

Affected SoftwareAffected VersionHow to fix
Google TensorFlow<=2.5.2
Google TensorFlow>=2.6.0<=2.6.2
Google TensorFlow=2.7.0
pip/tensorflow-gpu=2.7.0
2.7.1
pip/tensorflow-gpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-gpu<2.5.3
2.5.3
pip/tensorflow-cpu=2.7.0
2.7.1
pip/tensorflow-cpu>=2.6.0<2.6.3
2.6.3
pip/tensorflow-cpu<2.5.3
2.5.3
pip/tensorflow=2.7.0
2.7.1
pip/tensorflow>=2.6.0<2.6.3
2.6.3
pip/tensorflow<2.5.3
2.5.3

Remedy

https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc

Remedy

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-428x-9xc2-m8mj

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Reference Links

Frequently Asked Questions

  • What is CVE-2022-21741?

    CVE-2022-21741 is a vulnerability in the TensorFlow machine learning framework that allows an attacker to trigger a division by zero in the implementation of depthwise convolutions.

  • How does CVE-2022-21741 impact the affected software?

    CVE-2022-21741 allows an attacker to craft a TFLite model that triggers a division by zero, potentially causing a denial-of-service or other undesired behavior.

  • Which software versions are affected by CVE-2022-21741?

    Versions up to and including 2.5.2, 2.6.0 to 2.6.2, and 2.7.0 of Google TensorFlow are affected by CVE-2022-21741.

  • What is the severity of CVE-2022-21741?

    CVE-2022-21741 has a severity rating of 6.5 (Medium).

  • How can I fix CVE-2022-21741?

    To mitigate CVE-2022-21741, users should update to a patched version of Google TensorFlow.

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