https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-08T21:01:49.977877+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-29599 BIT-tensorflow-2021-29599 — Division by zero in TFLite's implementation of `Split` 2026-10-08T21:01:49.982819+00:00

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `Split` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.cc#L63-L65). An attacker can craft a model such that `num_splits` would be 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-2021-36344 cnvd-2021-36344 2026-10-08T21:01:49.982867+00:00 cnvd-2021-36344 https://cve.radiocsirt.org/vuln/euvd-2026-26509 EUVD-2026-26509 2026-10-08T21:01:49.982886+00:00 EUVD-2026-26509 https://cve.radiocsirt.org/vuln/fkie_cve-2021-29599 fkie_cve-2021-29599 2026-10-08T21:01:49.982898+00:00

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `Split` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.cc#L63-L65). An attacker can craft a model such that `num_splits` would be 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-97wf-p777-86jq GHSA-97wf-p777-86jq — Division by zero in TFLite's implementation of Split 2026-10-08T21:01:49.982921+00:00

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

### Impact The implementation of the `Split` TFLite operator is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.cc#L63-L65):

```cc TF_LITE_ENSURE_MSG(context, input_size % num_splits == 0, "Not an even split"); const int slice_size = input_size / num_splits; ```

An attacker can craft a model such that `num_splits` would be 0.

### Patches We have patched the issue in GitHub commit [b22786e7e9b7bdb6a56936ff29cc7e9968d7bc1d](https://github.com/tensorflow/tensorflow/commit/b22786e7e9b7bdb6a56936ff29cc7e9968d7bc1d).

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-2021-29599 gsd-2021-29599 2026-10-08T21:01:49.982959+00:00 gsd-2021-29599 https://cve.radiocsirt.org/vuln/pysec-2021-236 PYSEC-2021-236 2026-10-08T21:01:49.982972+00:00

Affected: PyPI: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `Split` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.cc#L63-L65). An attacker can craft a model such that `num_splits` would be 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.