medium
5.5
CWE
369
Advisory Published
Advisory Published
Updated

CVE-2021-37642: Division by 0 in `ResourceScatterDiv` in TensorFlow

First published: Thu Aug 12 2021(Updated: )

### Impact The implementation of `tf.raw_ops.ResourceScatterDiv` is vulnerable to a division by 0 error: ```python import tensorflow as tf v= tf.Variable([1,2,3]) tf.raw_ops.ResourceScatterDiv( resource=v.handle, indices=[1], updates=[0]) ``` The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/resource_variable_ops.cc#L865) uses a common class for all binary operations but fails to treat the division by 0 case separately. ### Patches We have patched the issue in GitHub commit [4aacb30888638da75023e6601149415b39763d76](https://github.com/tensorflow/tensorflow/commit/4aacb30888638da75023e6601149415b39763d76). 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
Google TensorFlow>=2.3.0<2.3.4
Google TensorFlow>=2.4.0<2.4.3
Google TensorFlow=2.5.0
Google TensorFlow=2.6.0-rc0
Google TensorFlow=2.6.0-rc1
Google TensorFlow=2.6.0-rc2
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

Remedy

https://github.com/tensorflow/tensorflow/commit/4aacb30888638da75023e6601149415b39763d76

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2021-37642?

    CVE-2021-37642 has a medium severity due to the potential for a division by zero error.

  • How do I fix CVE-2021-37642?

    To fix CVE-2021-37642, upgrade TensorFlow to version 2.5.1 or later.

  • Which versions of TensorFlow are affected by CVE-2021-37642?

    CVE-2021-37642 affects TensorFlow versions 2.3.0 up to 2.3.4, 2.4.0 up to 2.4.3, and specific release candidates of 2.6.0.

  • What is the impact of CVE-2021-37642?

    The impact of CVE-2021-37642 includes application crashes or unexpected behavior due to division by zero errors.

  • Is CVE-2021-37642 exploit-related?

    CVE-2021-37642 may be exploited if unhandled by the developer, leading to application instability.

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