https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-07T21:21:34.790002+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-35988 BIT-tensorflow-2022-35988 — `CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow 2026-10-07T21:21:34.797323+00:00

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

 https://cve.radiocsirt.org/vuln/euvd-2026-233631 EUVD-2026-233631 2026-10-07T21:21:34.797422+00:00 EUVD-2026-233631 https://cve.radiocsirt.org/vuln/fkie_cve-2022-35988 fkie_cve-2022-35988 2026-10-07T21:21:34.797440+00:00

TensorFlow is an open source platform for machine learning. When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

 https://cve.radiocsirt.org/vuln/ghsa-9vqj-64pv-w55c GHSA-9vqj-64pv-w55c — TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank` 2026-10-07T21:21:34.797465+00:00

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

### Impact When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf

a = tf.constant([], shape=[0, 1, 1], dtype=tf.float32) tf.linalg.matrix_rank(a=a) ```

### Patches We have patched the issue in GitHub commit [c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a](https://github.com/tensorflow/tensorflow/commit/c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a).

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Kang Hong Jin.

 https://cve.radiocsirt.org/vuln/gsd-2022-35988 gsd-2022-35988 2026-10-07T21:21:34.797503+00:00 gsd-2022-35988 https://cve.radiocsirt.org/vuln/opensuse-su-2024:12355-1 openSUSE-SU-2024:12355-1 — tensorflow-lite-2.10.0-1.1 on GA media 2026-10-07T21:21:34.797516+00:00

tensorflow-lite-2.10.0-1.1 on GA media

 https://cve.radiocsirt.org/vuln/pysec-2026-3156 PYSEC-2026-3156 — TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank` 2026-10-07T21:21:34.797557+00:00

Affected: PyPI: tensorflow

### Impact When `tf.linalg.matrix_rank` receives an empty input `a`, the GPU kernel gives a `CHECK` fail that can be used to trigger a denial of service attack. ```python import tensorflow as tf

a = tf.constant([], shape=[0, 1, 1], dtype=tf.float32) tf.linalg.matrix_rank(a=a) ```

### Patches We have patched the issue in GitHub commit [c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a](https://github.com/tensorflow/tensorflow/commit/c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a).

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, 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 Kang Hong Jin.