https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-06T20:08:34.515964+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/cve-2021-41221 CVE-2021-41221 — Access to invalid memory during shape inference in `Cudnn*` ops 2026-10-06T20:08:34.548112+00:00

Affected: tensorflow

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/ghsa-cqv6-3phm-hcwx GHSA-cqv6-3phm-hcwx — Access to invalid memory during shape inference in `Cudnn*` ops 2026-10-06T20:08:34.548176+00:00

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

### Impact The [shape inference code](https://github.com/tensorflow/tensorflow/blob/9ff27787893f76d6971dcd1552eb5270d254f31b/tensorflow/core/ops/cudnn_rnn_ops.cc) for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow:

```python import tensorflow as tf

@tf.function def func(): return tf.raw_ops.CudnnRNNV3( input=[0.1, 0.1], input_h=[0.5], input_c=[0.1, 0.1, 0.1], params=[0.5, 0.5], sequence_lengths=[-1, 0, 1]) func() ``` This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values:

```cc auto input_shape = c->input(0); auto input_h_shape = c->input(1); auto seq_length = c->Dim(input_shape, 0); auto batch_size = c->Dim(input_shape, 1); // assumes rank >= 2 auto num_units = c->Dim(input_h_shape, 2); // assumes rank >= 3 ```

### Patches We have patched the issue in GitHub commit [af5fcebb37c8b5d71c237f4e59c6477015c78ce6](https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6).

The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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…