https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-06T06:00:40.387541+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-41198 BIT-tensorflow-2021-41198 — Overflow/crash in `tf.tile` when tiling tensor is large 2026-10-06T06:00:40.395854+00:00

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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/cnvd-2022-09875 cnvd-2022-09875 2026-10-06T06:00:40.395912+00:00 cnvd-2022-09875 https://cve.radiocsirt.org/vuln/euvd-2026-31564 EUVD-2026-31564 2026-10-06T06:00:40.395929+00:00 EUVD-2026-31564 https://cve.radiocsirt.org/vuln/fkie_cve-2021-41198 fkie_cve-2021-41198 2026-10-06T06:00:40.395941+00:00

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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-2p25-55c9-h58q GHSA-2p25-55c9-h58q — Overflow/crash in `tf.tile` when tiling tensor is large 2026-10-06T06:00:40.395965+00:00

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

### Impact If `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow.

```python import tensorflow as tf import numpy as np tf.keras.backend.tile(x=np.ones((1,1,1)), n=[100000000,100000000, 100000000]) ```

The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process.

### Patches We have patched the issue in GitHub commit [9294094df6fea79271778eb7e7ae1bad8b5ef98f](https://github.com/tensorflow/tensorflow/commit/9294094df6fea79271778eb7e7ae1bad8b5ef98f) (merging [#51138](https://github.com/tensorflow/tensorflow/pull/51138)).

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 with issues and questions.

### Attribution This vulnerability has been reported externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/46911).

 https://cve.radiocsirt.org/vuln/gsd-2021-41198 gsd-2021-41198 2026-10-06T06:00:40.396003+00:00 gsd-2021-41198 https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1 openSUSE-SU-2024:12116-1 — tensorflow-lite-2.9.1-1.1 on GA media 2026-10-06T06:00:40.396015+00:00

tensorflow-lite-2.9.1-1.1 on GA media

 https://cve.radiocsirt.org/vuln/pysec-2021-391 PYSEC-2021-391 2026-10-06T06:00:40.396075+00:00

Affected: PyPI: tensorflow

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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.