https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Tue, 06 Oct 2026 21:35:45 +0000 https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-41196 <p><strong>Affected:</strong> Bitnami: tensorflow</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> <p><strong>Affected:</strong> Bitnami: tensorflow</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-41196 https://cve.radiocsirt.org/vuln/cnvd-2022-09877 cnvd-2022-09877 https://cve.radiocsirt.org/vuln/cnvd-2022-09877 https://cve.radiocsirt.org/vuln/euvd-2026-31588 EUVD-2026-31588 https://cve.radiocsirt.org/vuln/euvd-2026-31588 https://cve.radiocsirt.org/vuln/fkie_cve-2021-41196 <p>TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> https://cve.radiocsirt.org/vuln/fkie_cve-2021-41196 https://cve.radiocsirt.org/vuln/ghsa-m539-j985-hcr8 <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative:</p> <p>```python import tensorflow as tf</p> <p>pool_size = [2, 2, 0] layer = tf.keras.layers.MaxPooling3D(strides=1, pool_size=pool_size) input_tensor = tf.random.uniform([3, 4, 10, 11, 12], dtype=tf.float32) res = layer(input_tensor) ```</p> <p>This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive.</p> <p>### Patches We have patched the issue in GitHub commit [12b1ff82b3f26ff8de17e58703231d5a02ef1b8b](https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b) (merging [#51975](https://github.com/tensorflow/tensorflow/pull/51975)).</p> <p>The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> <p>### 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.</p> <p>### Attribution This vulnerability has been reported externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/51936).</p> <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative:</p> <p>```python import tensorflow as tf</p> <p>pool_size = [2, 2, 0] layer = tf.keras.layers.MaxPooling3D(strides=1, pool_size=pool_size) input_tensor = tf.random.uniform([3, 4, 10, 11, 12], dtype=tf.float32) res = layer(input_tensor) ```</p> <p>This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive.</p> <p>### Patches We have patched the issue in GitHub commit [12b1ff82b3f26ff8de17e58703231d5a02ef1b8b](https://github.com/tensorflow/tensorflow/commit/12b1ff82b3f26ff8de17e58703231d5a02ef1b8b) (merging [#51975](https://github.com/tensorflow/tensorflow/pull/51975)).</p> <p>The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> <p>### 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.</p> <p>### Attribution This vulnerability has been reported externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/51936).</p> https://cve.radiocsirt.org/vuln/ghsa-m539-j985-hcr8 https://cve.radiocsirt.org/vuln/gsd-2021-41196 gsd-2021-41196 https://cve.radiocsirt.org/vuln/gsd-2021-41196 https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1 <p>tensorflow-lite-2.9.1-1.1 on GA media</p> <p>tensorflow-lite-2.9.1-1.1 on GA media</p> https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1 https://cve.radiocsirt.org/vuln/pysec-2021-389 <p><strong>Affected:</strong> PyPI: tensorflow</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> <p><strong>Affected:</strong> PyPI: tensorflow</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow&#39;s implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.</p> https://cve.radiocsirt.org/vuln/pysec-2021-389