https://cve.radiocsirt.org/rss/recent/all/10 Most recent entries from all 2026-10-06T20:32:55.036340+00:00 Vulnerability-Lookup csirt@opendfir.org python-feedgen Contains only the most 10 recent entries. https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-41884 BIT-tensorflow-2022-41884 — Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow 2026-10-06T20:32:55.042757+00:00

Affected: Bitnami: tensorflow

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/cnvd-2022-81226 cnvd-2022-81226 2026-10-06T20:32:55.042828+00:00 cnvd-2022-81226 https://cve.radiocsirt.org/vuln/euvd-2026-232545 EUVD-2026-232545 2026-10-06T20:32:55.042852+00:00 EUVD-2026-232545 https://cve.radiocsirt.org/vuln/fkie_cve-2022-41884 fkie_cve-2022-41884 2026-10-06T20:32:55.042871+00:00

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

 https://cve.radiocsirt.org/vuln/ghsa-jq6x-99hj-q636 GHSA-jq6x-99hj-q636 — Seg fault in `ndarray_tensor_bridge` due to zero and large inputs 2026-10-06T20:32:55.042910+00:00

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

### Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: ```python np.ones((0, 2**31, 2**31)) ``` An example of a proof of concept: ```python import numpy as np import tensorflow as tf

input_val = tf.constant([1]) shape_val = np.array([i for i in range(21)])

tf.broadcast_to(input=input_val,shape=shape_val) ``` The return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked.

### Patches We have patched the issue in GitHub commit [2b56169c16e375c521a3bc8ea658811cc0793784](https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784).

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattanukul.

 https://cve.radiocsirt.org/vuln/gsd-2022-41884 gsd-2022-41884 2026-10-06T20:32:55.042987+00:00 gsd-2022-41884 https://cve.radiocsirt.org/vuln/msrc_cve-2022-41884 msrc_CVE-2022-41884 — Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow 2026-10-06T20:32:55.043006+00:00 msrc_CVE-2022-41884 https://cve.radiocsirt.org/vuln/pysec-2026-1013 PYSEC-2026-1013 — Seg fault in `ndarray_tensor_bridge` due to zero and large inputs 2026-10-06T20:32:55.043031+00:00

Affected: PyPI: tensorflow-gpu

### Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: ```python np.ones((0, 2**31, 2**31)) ``` An example of a proof of concept: ```python import numpy as np import tensorflow as tf

input_val = tf.constant([1]) shape_val = np.array([i for i in range(21)])

tf.broadcast_to(input=input_val,shape=shape_val) ``` The return value of `PyArray_SimpleNewFromData`, which returns null on such shapes, is not checked.

### Patches We have patched the issue in GitHub commit [2b56169c16e375c521a3bc8ea658811cc0793784](https://github.com/tensorflow/tensorflow/commit/2b56169c16e375c521a3bc8ea658811cc0793784).

The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, 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 Pattarakrit Rattanukul.