TensorFlowGHSA-hx9q-2mx4-m4pg

Missing validation causes denial of service via `Conv3DBackpropFilterV2`

CVE-2022-29204 · Published May 24, 2022 · updated Jul 13, 2026

Medium5.5

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

Impact

The implementation of [tf.raw_ops.UnsortedSegmentJoin](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L148) 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.strings.unsorted_segment_join(

inputs=['123'],

segment_ids=[0],

num_segments=-1)

The code assumes num_segments is a positive scalar but there is no validation:

```cc

const Tensor& num_segments_tensor = context->input(2);

auto num_segments = num_segments_tensor.scalar<NUM_SEGMENTS_TYPE>()();

// ...

Tensor* output_tensor = nullptr;

TensorShape output_shape =

GetOutputShape(input_shape, segment_id_shape, num_segments);

Since this value is used to allocate the output tensor, a negative value would result in a CHECK-failure (assertion failure), as per [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 [84563f265f28b3c36a15335c8b005d405260e943](https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943) and GitHub commit...

Affected versions

Package	Affected	Fixed in
tensorflow PyPI	< 2.6.4	2.6.4
	>= 2.7.0, < 2.7.2	2.7.2
	>= 2.8.0, < 2.8.1	2.8.1

Details and references

### Impact The implementation of [`tf.raw_ops.UnsortedSegmentJoin`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/unsorted_segment_join_op.cc#L83-L148) 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.strings.unsorted_segment_join( inputs=['123'], segment_ids=[0], num_segments=-1) ``` The code assumes `num_segments` is a positive scalar but there is no validation: ```cc const Tensor& num_segments_tensor = context->input(2); auto num_segments = num_segments_tensor.scalar<NUM_SEGMENTS_TYPE>()(); // ... Tensor* output_tensor = nullptr; TensorShape output_shape = GetOutputShape(input_shape, segment_id_shape, num_segments); ``` Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per [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 [84563f265f28b3c36a15335c8b005d405260e943](https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943) and GitHub commit [20cb18724b0bf6c09071a3f53434c4eec53cc147](https://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147). 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55305).

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-191, CWE-20
Also known as: BIT-tensorflow-2022-29204, CVE-2022-29204, PYSEC-2026-1010, PYSEC-2026-3203, PYSEC-2026-3342

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