CVE-2021-37640

Medium

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

SeverityMedium
CVSS5.5
Exploit probability—
ProductGoogle Tensorflow
PublishedAug 12, 2021
First seenAug 12, 2021
Weakness typeCWE-369CWE-369

How to fix

Update
  • google tensorflow2.3.4, 2.4.3 or later
  • tensorflow2.3.4, 2.4.3, 2.5.1 or later
  • tensorflow-cpu2.3.4, 2.4.3, 2.5.1 or later
  • tensorflow-gpu2.3.4, 2.4.3, 2.5.1 or later

Affected products

ProductAffected versionsFixed in
google tensorflow2.3.0 ≤ v < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0, 2.6.02.3.4, 2.4.3
tensorflowPyPIv < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0 ≤ v < 2.5.1, 2.3.0 ≤ v < 2.3.42.3.4, 2.4.3, 2.5.1
tensorflow-cpuPyPIv < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0 ≤ v < 2.5.1, 2.3.0 ≤ v < 2.3.42.3.4, 2.4.3, 2.5.1
tensorflow-gpuPyPIv < 2.3.4, 2.4.0 ≤ v < 2.4.3, 2.5.0 ≤ v < 2.5.1, 2.3.0 ≤ v < 2.3.42.3.4, 2.4.3, 2.5.1

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