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  <title>Most recent entries from all</title>
  <updated>2026-10-07T13:34:03.493331+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-36000</id>
    <title>BIT-tensorflow-2022-36000 — Null dereference on MLIR on empty function attributes in TensorFlow</title>
    <updated>2026-10-07T13:34:03.501821+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Bitnami: tensorflow</p>
<p>TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-36000"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-233604</id>
    <title>EUVD-2026-233604</title>
    <updated>2026-10-07T13:34:03.501883+00:00</updated>
    <content>EUVD-2026-233604</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-233604"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2022-36000</id>
    <title>fkie_cve-2022-36000</title>
    <updated>2026-10-07T13:34:03.501900+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>TensorFlow is an open source platform for machine learning. When `mlir::tfg::ConvertGenericFunctionToFunctionDef` is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. 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.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2022-36000"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-fqxc-pvf8-2w9v</id>
    <title>GHSA-fqxc-pvf8-2w9v — TensorFlow vulnerable to null dereference on MLIR on empty function attributes</title>
    <updated>2026-10-07T13:34:03.501924+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu</p>
<p>### Impact
`Eig` can be fed an incorrect `Tout` input, resulting in 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=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_1=tf.complex128
arg_2=True
arg_3=''
tf.raw_ops.Eig(input=arg_0, Tout=arg_1, compute_v=arg_2, name=arg_3)
```</p>
<p>### Patches
We have patched the issue in GitHub commit [aed36912609fc07229b4d0a7b44f3f48efc00fd0](https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0).</p>
<p>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.</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 刘力源, Information System &amp; Security and Countermeasures Experiments Center, Beijing Institute of Technology.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-fqxc-pvf8-2w9v"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2022-36000</id>
    <title>gsd-2022-36000</title>
    <updated>2026-10-07T13:34:03.501966+00:00</updated>
    <content>gsd-2022-36000</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2022-36000"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2024:12355-1</id>
    <title>openSUSE-SU-2024:12355-1 — tensorflow-lite-2.10.0-1.1 on GA media</title>
    <updated>2026-10-07T13:34:03.501979+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>tensorflow-lite-2.10.0-1.1 on GA media</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2024:12355-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-3177</id>
    <title>PYSEC-2026-3177 — TensorFlow vulnerable to null dereference on MLIR on empty function attributes</title>
    <updated>2026-10-07T13:34:03.502011+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow</p>
<p>### Impact
`Eig` can be fed an incorrect `Tout` input, resulting in 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=(2, 2)), shape=(2, 2), dtype=tf.float32)
arg_1=tf.complex128
arg_2=True
arg_3=''
tf.raw_ops.Eig(input=arg_0, Tout=arg_1, compute_v=arg_2, name=arg_3)
```</p>
<p>### Patches
We have patched the issue in GitHub commit [aed36912609fc07229b4d0a7b44f3f48efc00fd0](https://github.com/tensorflow/tensorflow/commit/aed36912609fc07229b4d0a7b44f3f48efc00fd0).</p>
<p>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.</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 刘力源, Information System &amp; Security and Countermeasures Experiments Center, Beijing Institute of Technology.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-3177"/>
  </entry>
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