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Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-jjm6-4vf7-cjh4

Integer overflow in `SpaceToBatchND`

TensorFlow

CVE-2022-29203 · Published May 24, 2022 · updated Jul 13, 2026

Medium5.5
Fix: upgrade to 2.6.4 or later (3 fixed versions below)
GitHub advisory

Impact

The implementation of tf.raw_ops.SpaceToBatchND (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow:

```python

import tensorflow as tf

input = tf.constant(-3.5e+35, shape=[10,19,22], dtype=tf.float32)

block_shape = tf.constant(-1879048192, shape=[2], dtype=tf.int64)

paddings = tf.constant(0, shape=[2,2], dtype=tf.int32)

tf.raw_ops.SpaceToBatchND(input=input, block_shape=block_shape, paddings=paddings)

`

The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a CHECK-failure (assertion failure), as in [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md).

Patches

We have patched the issue in GitHub commit [acd56b8bcb72b163c834ae4f18469047b001fadf](https://github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadf).

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...

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 `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: ```python import tensorflow as tf input = tf.constant(-3.5e+35, shape=[10,19,22], dtype=tf.float32) block_shape = tf.constant(-1879048192, shape=[2], dtype=tf.int64) paddings = tf.constant(0, shape=[2,2], dtype=tf.int32) tf.raw_ops.SpaceToBatchND(input=input, block_shape=block_shape, paddings=paddings) ``` The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in [TFSA-2021-198](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md). ### Patches We have patched the issue in GitHub commit [acd56b8bcb72b163c834ae4f18469047b001fadf](https://github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadf). 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.

CVSS 3.1
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Severity from
GitHub (reviewed advisory)
Weakness
CWE-190
Also known as
BIT-tensorflow-2022-29203, CVE-2022-29203, PYSEC-2026-1012, PYSEC-2026-3207, PYSEC-2026-3344

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