high
7.8
CWE
125 476
Advisory Published
Advisory Published
Updated

CVE-2021-37659: Out of bounds read via null pointer dereference in TensorFlow

First published: Thu Aug 12 2021(Updated: )

### Impact An attacker can cause undefined behavior via binding a reference to null pointer in all binary cwise operations that don't require broadcasting (e.g., gradients of binary cwise operations): ```python import tensorflow as tf tf.raw_ops.SqrtGrad(y=[4, 16],dy=[]) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/cwise_ops_common.h#L264) assumes that the two inputs have exactly the same number of elements but does not check that. Hence, when the eigen functor executes it triggers heap OOB reads and undefined behavior due to binding to nullptr. ### Patches We have patched the issue in GitHub commit [93f428fd1768df147171ed674fee1fc5ab8309ec](https://github.com/tensorflow/tensorflow/commit/93f428fd1768df147171ed674fee1fc5ab8309ec). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 members of the Aivul Team from Qihoo 360.

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

Affected SoftwareAffected VersionHow to fix
pip/tensorflow-gpu=2.5.0
2.5.1
pip/tensorflow-gpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-gpu<2.3.4
2.3.4
pip/tensorflow-cpu=2.5.0
2.5.1
pip/tensorflow-cpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-cpu<2.3.4
2.3.4
pip/tensorflow=2.5.0
2.5.1
pip/tensorflow>=2.4.0<2.4.3
2.4.3
pip/tensorflow<2.3.4
2.3.4
TensorFlow Keras>=2.3.0<2.3.4
TensorFlow Keras>=2.4.0<2.4.3
TensorFlow Keras=2.5.0
TensorFlow Keras=2.6.0-rc0
TensorFlow Keras=2.6.0-rc1
TensorFlow Keras=2.6.0-rc2

Remedy

https://github.com/tensorflow/tensorflow/commit/93f428fd1768df147171ed674fee1fc5ab8309ec

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Reference Links

Frequently Asked Questions

  • What is the impact of CVE-2021-37659?

    CVE-2021-37659 can lead to undefined behavior via a null pointer reference during specific binary operations in TensorFlow.

  • How do I fix CVE-2021-37659?

    To fix CVE-2021-37659, upgrade TensorFlow to version 2.5.1 or later, or to version 2.4.3 or later for affected versions below 2.5.0.

  • Which versions of TensorFlow are affected by CVE-2021-37659?

    CVE-2021-37659 affects TensorFlow versions from 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, and specific release candidates of version 2.6.0.

  • Is CVE-2021-37659 a critical vulnerability?

    CVE-2021-37659 is considered to have a moderate severity level due to the potential for undefined behavior.

  • What software does CVE-2021-37659 affect?

    CVE-2021-37659 affects the Google TensorFlow software, especially versions 2.3.x, 2.4.x, and the specific 2.6.0 release candidates.

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