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    <lastBuildDate>Wed, 07 Oct 2026 18:27:15 +0000</lastBuildDate>
    <item>
      <title>CVE-2022-36002 — `CHECK` fail in `Unbatch` in TensorFlow</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2022-36002</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an open source platform for machine learning. When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.&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 open source platform for machine learning. When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 4419d10d576adefa36b0e0a9425d2569f7c0189f. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2022-36002</guid>
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    <item>
      <title>GHSA-mh3m-62v7-68xg — TensorFlow vulnerable to `CHECK` fail in `Unbatch`</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-mh3m-62v7-68xg</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
When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack.
```python
import tensorflow as tf
import numpy as np
arg_0=tf.constant(value=np.random.random(size=(3, 3, 1)), dtype=tf.float64)
arg_1=tf.constant(value=np.random.randint(0,100,size=(3, 3, 1)), dtype=tf.int64)
arg_2=tf.constant(value=np.random.randint(0,100,size=(3, 3,  1)), dtype=tf.int64)
arg_3=47
arg_4=&amp;#39;&amp;#39;
arg_5=&amp;#39;&amp;#39;
tf.raw_ops.Unbatch(batched_tensor=arg_0, batch_index=arg_1, id=arg_2, 
                   timeout_micros=arg_3, container=arg_4, shared_name=arg_5)
```&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [4419d10d576adefa36b0e0a9425d2569f7c0189f](https://github.com/tensorflow/tensorflow/commit/4419d10d576adefa36b0e0a9425d2569f7c0189f).&lt;/p&gt;
&lt;p&gt;The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.&lt;/p&gt;
&lt;p&gt;### 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.&lt;/p&gt;
&lt;p&gt;### Attribution
This vulnerability has been reported by 刘力源, Information System &amp;amp; Security and Countermeasures Experiments Center, Beijing Institute of Technology.&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
When `Unbatch` receives a nonscalar input `id`, it gives a `CHECK` fail that can trigger a denial of service attack.
```python
import tensorflow as tf
import numpy as np
arg_0=tf.constant(value=np.random.random(size=(3, 3, 1)), dtype=tf.float64)
arg_1=tf.constant(value=np.random.randint(0,100,size=(3, 3, 1)), dtype=tf.int64)
arg_2=tf.constant(value=np.random.randint(0,100,size=(3, 3,  1)), dtype=tf.int64)
arg_3=47
arg_4=&amp;#39;&amp;#39;
arg_5=&amp;#39;&amp;#39;
tf.raw_ops.Unbatch(batched_tensor=arg_0, batch_index=arg_1, id=arg_2, 
                   timeout_micros=arg_3, container=arg_4, shared_name=arg_5)
```&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [4419d10d576adefa36b0e0a9425d2569f7c0189f](https://github.com/tensorflow/tensorflow/commit/4419d10d576adefa36b0e0a9425d2569f7c0189f).&lt;/p&gt;
&lt;p&gt;The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.&lt;/p&gt;
&lt;p&gt;### 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.&lt;/p&gt;
&lt;p&gt;### Attribution
This vulnerability has been reported by 刘力源, Information System &amp;amp; Security and Countermeasures Experiments Center, Beijing Institute of Technology.&lt;/p&gt;</content:encoded>
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