high
7.6
CWE
476
Advisory Published
Advisory Published
Updated

CVE-2022-21736: Undefined behavior in Tensorflow

First published: Thu Feb 03 2022(Updated: )

### Impact The [implementation of `SparseTensorSliceDataset`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L227-L292) has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value: ```python import tensorflow as tf import numpy as np tf.raw_ops.SparseTensorSliceDataset( indices=[[]], values=[], dense_shape=[1,1]) ``` The 3 input arguments represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. ### Patches We have patched the issue in GitHub commit [965b97e4a9650495cda5a8c210ef6684b4b9eceb](https://github.com/tensorflow/tensorflow/commit/965b97e4a9650495cda5a8c210ef6684b4b9eceb). 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 Faysal Hossain Shezan from University of Virginia.

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

Affected SoftwareAffected VersionHow to fix
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
TensorFlow Keras<=2.5.2
TensorFlow Keras>=2.6.0<=2.6.2
TensorFlow Keras=2.7.0

Remedy

https://github.com/tensorflow/tensorflow/commit/965b97e4a9650495cda5a8c210ef6684b4b9eceb

Remedy

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-pfjj-m3jj-9jc9

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2022-21736?

    CVE-2022-21736 has a medium severity rating due to the potential for undefined behaviors affecting application stability.

  • How do I fix CVE-2022-21736?

    To fix CVE-2022-21736, upgrade to TensorFlow version 2.7.1 or later, or apply the appropriate updates for earlier versions as specified.

  • What versions of TensorFlow are affected by CVE-2022-21736?

    CVE-2022-21736 affects TensorFlow versions up to and including 2.7.0.

  • Is CVE-2022-21736 related to a specific feature in TensorFlow?

    Yes, CVE-2022-21736 is related to the implementation of SparseTensorSliceDataset in TensorFlow.

  • What should I do if I'm using an affected version of TensorFlow?

    If using an affected version of TensorFlow, it is recommended to update to a non-vulnerable version as soon as possible to mitigate the risk.

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