https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-06T07:08:58.379521+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-37680 BIT-tensorflow-2021-37680 — Division by zero in TFLite in TensorFlow 2026-10-06T07:08:58.518953+00:00

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/cnvd-2021-63066 cnvd-2021-63066 2026-10-06T07:08:58.519011+00:00 cnvd-2021-63066 https://cve.radiocsirt.org/vuln/euvd-2026-29962 EUVD-2026-29962 2026-10-06T07:08:58.519030+00:00 EUVD-2026-29962 https://cve.radiocsirt.org/vuln/fkie_cve-2021-37680 fkie_cve-2021-37680 2026-10-06T07:08:58.519041+00:00

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/ghsa-cfpj-3q4c-jhvr GHSA-cfpj-3q4c-jhvr — Division by zero in TFLite 2026-10-06T07:08:58.519065+00:00

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

### Impact The implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226):

```cc const int batch_size = input_size / filter->dims->data[1]; ```

An attacker can craft a model such that `filter->dims->data[1]` is 0.

### Patches We have patched the issue in GitHub commit [718721986aa137691ee23f03638867151f74935f](https://github.com/tensorflow/tensorflow/commit/718721986aa137691ee23f03638867151f74935f).

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 by members of the Aivul Team from Qihoo 360. Concurrently, it has also been reported by Yakun Zhang of Baidu Security.

 https://cve.radiocsirt.org/vuln/gsd-2021-37680 gsd-2021-37680 2026-10-06T07:08:58.519106+00:00 gsd-2021-37680 https://cve.radiocsirt.org/vuln/opensuse-su-2022:10014-1 openSUSE-SU-2022:10014-1 — Security update for tensorflow2 2026-10-06T07:08:58.519118+00:00

Security update for tensorflow2

 https://cve.radiocsirt.org/vuln/pysec-2021-302 PYSEC-2021-302 2026-10-06T07:08:58.519175+00:00

Affected: PyPI: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.