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BIT-tensorflow-2022-35959 — `CHECK` failures in `AvgPool3DGrad` in TensorFlow

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

cnvd-2023-10601

EUVD-2026-233648

fkie_cve-2022-35959

GHSA-wxjj-cgcx-r3vq — TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### Impact The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf

ksize = [1, 1, 1, 1, 1] strides = [1, 1, 1, 1, 1] padding = "SAME" data_format = "NDHWC" orig_input_shape = tf.constant(1879048192, shape=[5], dtype=tf.int32) grad = tf.constant(1, shape=[1,3,2,4,2], dtype=tf.float32) tf.raw_ops.AvgPool3DGrad(orig_input_shape=orig_input_shape, grad=grad, ksize=ksize, strides=strides, padding=padding, data_format=data_format) ```

### Patches We have patched the issue in GitHub commit [9178ac9d6389bdc54638ab913ea0e419234d14eb](https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb).

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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, Secure Systems Labs, Brown University.

gsd-2022-35959

openSUSE-SU-2024:12355-1 — tensorflow-lite-2.10.0-1.1 on GA media

tensorflow-lite-2.10.0-1.1 on GA media

PYSEC-2026-1046 — TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Affected: PyPI: tensorflow-gpu

### Patches We have patched the issue in GitHub commit [9178ac9d6389bdc54638ab913ea0e419234d14eb](https://github.com/tensorflow/tensorflow/commit/9178ac9d6389bdc54638ab913ea0e419234d14eb).

### Attribution This vulnerability has been reported by Neophytos Christou, Secure Systems Labs, Brown University.