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BIT-tensorflow-2022-29204 — Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. 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. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

cnvd-2022-44170

EUVD-2026-232719

fkie_cve-2022-29204

GHSA-hx9q-2mx4-m4pg — Missing validation causes denial of service via `Conv3DBackpropFilterV2`

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

### 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 cherrypi…

gsd-2022-29204

PYSEC-2026-1010 — Missing validation causes denial of service via `Conv3DBackpropFilterV2`

Affected: PyPI: tensorflow-gpu

```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: