medium
6.5
CWE
617
Advisory Published
Advisory Published
Updated

CVE-2022-23588: `CHECK`-fails due to attempting to build a reference tensor in Tensorflow

First published: Fri Feb 04 2022(Updated: )

### Impact A malicious user can cause a denial of service by altering a `SavedModel` such that [Grappler optimizer would attempt to build a tensor using a reference `dtype`](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L1328-L1402). This would result in a crash due to a `CHECK`-fail [in the `Tensor` constructor](https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/tensor.cc#L733-L781) as reference types are not allowed. ### Patches We have patched the issue in GitHub commit [6b5adc0877de832b2a7c189532dbbbc64622eeb6](https://github.com/tensorflow/tensorflow/commit/6b5adc0877de832b2a7c189532dbbbc64622eeb6). 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.

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
<=2.5.2
>=2.6.0<=2.6.2
=2.7.0

Remedy

https://github.com/tensorflow/tensorflow/commit/6b5adc0877de832b2a7c189532dbbbc64622eeb6

Remedy

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fx5c-h9f6-rv7c

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2022-23588?

    CVE-2022-23588 has been classified as a denial of service vulnerability with high severity.

  • How do I fix CVE-2022-23588?

    To fix CVE-2022-23588, upgrade TensorFlow to version 2.7.1 or later.

  • What software is affected by CVE-2022-23588?

    CVE-2022-23588 affects TensorFlow versions up to 2.5.2, between 2.6.0 and 2.6.2, and exactly 2.7.0.

  • Can CVE-2022-23588 be exploited remotely?

    Yes, CVE-2022-23588 can be exploited by a malicious user causing a denial of service.

  • What type of vulnerability is CVE-2022-23588 related to?

    CVE-2022-23588 is related to the Grappler optimizer in TensorFlow that can be forced to build a tensor with improper reference types.

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