https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-08T21:56:54.335571+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-29593 BIT-tensorflow-2021-29593 — Division by zero in TFLite's implementation of `BatchToSpaceNd` 2026-10-08T21:56:54.340433+00:00

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `BatchToSpaceNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82). An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/cnvd-2021-36338 cnvd-2021-36338 2026-10-08T21:56:54.340486+00:00 cnvd-2021-36338 https://cve.radiocsirt.org/vuln/euvd-2026-26494 EUVD-2026-26494 2026-10-08T21:56:54.340504+00:00 EUVD-2026-26494 https://cve.radiocsirt.org/vuln/fkie_cve-2021-29593 fkie_cve-2021-29593 2026-10-08T21:56:54.340515+00:00

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `BatchToSpaceNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82). An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/ghsa-cfx7-2xpc-8w4h GHSA-cfx7-2xpc-8w4h — Division by zero in TFLite's implementation of `BatchToSpaceNd` 2026-10-08T21:56:54.340537+00:00

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

### Impact The implementation of the `BatchToSpaceNd` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82):

```cc TF_LITE_ENSURE_EQ(context, output_batch_size % block_shape[dim], 0); output_batch_size = output_batch_size / block_shape[dim]; ```

An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0.

### Patches We have patched the issue in GitHub commit [2c74674348a4708ced58ad6eb1b23354df8ee044](https://github.com/tensorflow/tensorflow/commit/2c74674348a4708ced58ad6eb1b23354df8ee044).

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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.

 https://cve.radiocsirt.org/vuln/gsd-2021-29593 gsd-2021-29593 2026-10-08T21:56:54.340576+00:00 gsd-2021-29593 https://cve.radiocsirt.org/vuln/pysec-2021-230 PYSEC-2021-230 2026-10-08T21:56:54.340587+00:00

Affected: PyPI: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `BatchToSpaceNd` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/b5ed552fe55895aee8bd8b191f744a069957d18d/tensorflow/lite/kernels/batch_to_space_nd.cc#L81-L82). An attacker can craft a model such that one dimension of the `block` input is 0. Hence, the corresponding value in `block_shape` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.