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  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-06T16:28:03.588411+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-2022-21735</id>
    <title>BIT-tensorflow-2022-21735 — Division by zero in Tensorflow</title>
    <updated>2026-10-06T16:28:03.740914+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 Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2022-21735"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cnvd-2022-14994</id>
    <title>cnvd-2022-14994</title>
    <updated>2026-10-06T16:28:03.740979+00:00</updated>
    <content>cnvd-2022-14994</content>
    <link href="https://cve.radiocsirt.org/vuln/cnvd-2022-14994"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-237400</id>
    <title>EUVD-2026-237400</title>
    <updated>2026-10-06T16:28:03.740998+00:00</updated>
    <content>EUVD-2026-237400</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-237400"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2022-21735</id>
    <title>fkie_cve-2022-21735</title>
    <updated>2026-10-06T16:28:03.741010+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2022-21735"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-87v6-crgm-2gfj</id>
    <title>GHSA-87v6-crgm-2gfj — Division by zero in Tensorflow</title>
    <updated>2026-10-06T16:28:03.741034+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 `FractionalMaxPool`](https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/fractional_max_pool_op.cc#L36-L192) can be made to crash a TensorFlow process via a division by 0:</p>
<p>```python
import tensorflow as tf
import numpy as np</p>
<p>tf.raw_ops.FractionalMaxPool(
  value=tf.constant(value=[[[[1, 4, 2, 3]]]], dtype=tf.int64),
  pooling_ratio=[1.0, 1.44, 1.73, 1.0],
  pseudo_random=False,
  overlapping=False,
  deterministic=False,
  seed=0,
  seed2=0,
  name=None)
```</p>
<p>### Patches
We have patched the issue in GitHub commit [ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb](https://github.com/tensorflow/tensorflow/commit/ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb).</p>
<p>The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Faysal Hossain Shezan from University of Virginia.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-87v6-crgm-2gfj"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2022-21735</id>
    <title>gsd-2022-21735</title>
    <updated>2026-10-06T16:28:03.741079+00:00</updated>
    <content>gsd-2022-21735</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2022-21735"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1</id>
    <title>openSUSE-SU-2024:12116-1 — tensorflow-lite-2.9.1-1.1 on GA media</title>
    <updated>2026-10-06T16:28:03.741092+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>tensorflow-lite-2.9.1-1.1 on GA media</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2022-114</id>
    <title>PYSEC-2022-114</title>
    <updated>2026-10-06T16:28:03.741210+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow-gpu</p>
<p>Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2022-114"/>
  </entry>
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