https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Fri, 09 Oct 2026 07:20:32 +0000 https://cve.radiocsirt.org/vuln/cve-2022-41885 <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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.</p> <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. 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.</p> https://cve.radiocsirt.org/vuln/cve-2022-41885 https://cve.radiocsirt.org/vuln/ghsa-762h-vpvw-3rcx <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact When [`tf.raw_ops.FusedResizeAndPadConv2D`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc) is given a large tensor shape, it overflows. ```python import tensorflow as tf</p> <p>mode = &#34;REFLECT&#34; strides = [1, 1, 1, 1] padding = &#34;SAME&#34; resize_align_corners = False input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16) size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32) paddings = tf.constant([3,4], shape=[2], dtype=tf.int32) filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16) tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners) ```</p> <p>### Patches We have patched the issue in GitHub commit [d66e1d568275e6a2947de97dca7a102a211e01ce](https://github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce).</p> <p>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.</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 by Neophytos Christou from the Secure Systems Lab (SSL) at Brown Univ…</p> <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact When [`tf.raw_ops.FusedResizeAndPadConv2D`](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/kernels/conv_ops_fused_image_transform.cc) is given a large tensor shape, it overflows. ```python import tensorflow as tf</p> <p>mode = &#34;REFLECT&#34; strides = [1, 1, 1, 1] padding = &#34;SAME&#34; resize_align_corners = False input = tf.constant(147, shape=[3,3,1,1], dtype=tf.float16) size = tf.constant([1879048192,1879048192], shape=[2], dtype=tf.int32) paddings = tf.constant([3,4], shape=[2], dtype=tf.int32) filter = tf.constant(123, shape=[1,3,4,1], dtype=tf.float16) tf.raw_ops.FusedResizeAndPadConv2D(input=input, size=size, paddings=paddings, filter=filter, mode=mode, strides=strides, padding=padding, resize_align_corners=resize_align_corners) ```</p> <p>### Patches We have patched the issue in GitHub commit [d66e1d568275e6a2947de97dca7a102a211e01ce](https://github.com/tensorflow/tensorflow/commit/d66e1d568275e6a2947de97dca7a102a211e01ce).</p> <p>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.</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 by Neophytos Christou from the Secure Systems Lab (SSL) at Brown Univ…</p> https://cve.radiocsirt.org/vuln/ghsa-762h-vpvw-3rcx