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  <id>https://vulnerability.circl.lu/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-07T18:33:12.285158+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>info@circl.lu</email>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/bit-tensorflow-2022-29202</id>
    <title>BIT-tensorflow-2022-29202 — Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant`</title>
    <updated>2026-10-07T18:33:12.293254+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. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/bit-tensorflow-2022-29202"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/cnvd-2022-44172</id>
    <title>cnvd-2022-44172</title>
    <updated>2026-10-07T18:33:12.293456+00:00</updated>
    <content>cnvd-2022-44172</content>
    <link href="https://vulnerability.circl.lu/vuln/cnvd-2022-44172"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/fkie_cve-2022-29202</id>
    <title>fkie_cve-2022-29202</title>
    <updated>2026-10-07T18:33:12.293519+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <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.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.</p>
      </div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/fkie_cve-2022-29202"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/ghsa-cwpm-f78v-7m5c</id>
    <title>GHSA-cwpm-f78v-7m5c — Denial of service in `tf.ragged.constant` due to lack of validation</title>
    <updated>2026-10-07T18:33:12.293624+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
The implementation of [`tf.ragged.constant`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/ops/ragged/ragged_factory_ops.py#L146-L239) does not fully validate the input arguments. This results in a denial of service by consuming all available memory:</p>
<p>```python
import tensorflow as tf
tf.ragged.constant(pylist=[],ragged_rank=8968073515812833920)
```
  
### Patches
We have patched the issue in GitHub commit [bd4d5583ff9c8df26d47a23e508208844297310e](https://github.com/tensorflow/tensorflow/commit/bd4d5583ff9c8df26d47a23e508208844297310e).</p>
<p>The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55199).</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/ghsa-cwpm-f78v-7m5c"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/gsd-2022-29202</id>
    <title>gsd-2022-29202</title>
    <updated>2026-10-07T18:33:12.293785+00:00</updated>
    <content>gsd-2022-29202</content>
    <link href="https://vulnerability.circl.lu/vuln/gsd-2022-29202"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/pysec-2026-3163</id>
    <title>PYSEC-2026-3163 — Denial of service in `tf.ragged.constant` due to lack of validation</title>
    <updated>2026-10-07T18:33:12.293821+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow</p>
<p>### Impact
The implementation of [`tf.ragged.constant`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/ops/ragged/ragged_factory_ops.py#L146-L239) does not fully validate the input arguments. This results in a denial of service by consuming all available memory:</p>
<p>```python
import tensorflow as tf
tf.ragged.constant(pylist=[],ragged_rank=8968073515812833920)
```
  
### Patches
We have patched the issue in GitHub commit [bd4d5583ff9c8df26d47a23e508208844297310e](https://github.com/tensorflow/tensorflow/commit/bd4d5583ff9c8df26d47a23e508208844297310e).</p>
<p>The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 externally via a [GitHub issue](https://github.com/tensorflow/tensorflow/issues/55199).</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/pysec-2026-3163"/>
  </entry>
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