https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-09T00:05:15.849901+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-29556 BIT-tensorflow-2021-29556 — Division by 0 in `Reverse` 2026-10-09T00:05:15.856827+00:00

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.Reverse`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/36229ea9e9451dac14a8b1f4711c435a1d84a594/tensorflow/core/kernels/reverse_op.cc#L75-L76) performs a division based on the first dimension of the tensor argument. 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-2021-37630 cnvd-2021-37630 2026-10-09T00:05:15.856913+00:00 cnvd-2021-37630 https://cve.radiocsirt.org/vuln/euvd-2026-26462 EUVD-2026-26462 2026-10-09T00:05:15.856941+00:00 EUVD-2026-26462 https://cve.radiocsirt.org/vuln/fkie_cve-2021-29556 fkie_cve-2021-29556 2026-10-09T00:05:15.856962+00:00

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.Reverse`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/36229ea9e9451dac14a8b1f4711c435a1d84a594/tensorflow/core/kernels/reverse_op.cc#L75-L76) performs a division based on the first dimension of the tensor argument. 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-fxqh-cfjm-fp93 GHSA-fxqh-cfjm-fp93 — Division by 0 in `Reverse` 2026-10-09T00:05:15.857003+00:00

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

### Impact An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.Reverse`:

```python import tensorflow as tf

tensor_input = tf.constant([], shape=[0, 1, 1], dtype=tf.int32) dims = tf.constant([False, True, False], shape=[3], dtype=tf.bool)

tf.raw_ops.Reverse(tensor=tensor_input, dims=dims) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/36229ea9e9451dac14a8b1f4711c435a1d84a594/tensorflow/core/kernels/reverse_op.cc#L75-L76) performs a division based on the first dimension of the tensor argument: ```cc const int64 N = input.dim_size(0); const int64 cost_per_unit = input.NumElements() / N; ```

Since this is controlled by the user, an attacker can trigger a denial of service.

### Patches We have patched the issue in GitHub commit [4071d8e2f6c45c1955a811fee757ca2adbe462c1](https://github.com/tensorflow/tensorflow/commit/4071d8e2f6c45c1955a811fee757ca2adbe462c1).

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 Ying Wang and Yakun Zhang of Baidu X-Team.

 https://cve.radiocsirt.org/vuln/gsd-2021-29556 gsd-2021-29556 2026-10-09T00:05:15.857082+00:00 gsd-2021-29556 https://cve.radiocsirt.org/vuln/pysec-2021-193 PYSEC-2021-193 2026-10-09T00:05:15.857103+00:00

Affected: PyPI: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.Reverse`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/36229ea9e9451dac14a8b1f4711c435a1d84a594/tensorflow/core/kernels/reverse_op.cc#L75-L76) performs a division based on the first dimension of the tensor argument. 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.