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  <title>Most recent entries from all</title>
  <updated>2026-10-06T05:51:45.297225+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-37660</id>
    <title>BIT-tensorflow-2021-37660 — Division by 0 in inplace operations in TensorFlow</title>
    <updated>2026-10-06T05:51:45.312131+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 end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&amp;&amp;`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-37660"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cnvd-2021-64069</id>
    <title>cnvd-2021-64069</title>
    <updated>2026-10-06T05:51:45.312193+00:00</updated>
    <content>cnvd-2021-64069</content>
    <link href="https://cve.radiocsirt.org/vuln/cnvd-2021-64069"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-29900</id>
    <title>EUVD-2026-29900</title>
    <updated>2026-10-06T05:51:45.312212+00:00</updated>
    <content>EUVD-2026-29900</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-29900"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2021-37660</id>
    <title>fkie_cve-2021-37660</title>
    <updated>2026-10-06T05:51:45.312224+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&amp;&amp;`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2021-37660"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-cm5x-837x-jf3c</id>
    <title>GHSA-cm5x-837x-jf3c — Division by 0 in inplace operations</title>
    <updated>2026-10-06T05:51:45.312250+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
An attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0:</p>
<p>```python
import tensorflow as tf</p>
<p>tf.raw_ops.InplaceSub(x=[],i=[-99,-1,-1],v=[1,1,1])
```</p>
<p>The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&amp;&amp;`.</p>
<p>### Patches
We have patched the issue in GitHub commit [e86605c0a336c088b638da02135ea6f9f6753618](https://github.com/tensorflow/tensorflow/commit/e86605c0a336c088b638da02135ea6f9f6753618).</p>
<p>The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, 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 by members of the Aivul Team from Qihoo 360.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-cm5x-837x-jf3c"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2021-37660</id>
    <title>gsd-2021-37660</title>
    <updated>2026-10-06T05:51:45.312289+00:00</updated>
    <content>gsd-2021-37660</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2021-37660"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/opensuse-su-2022:10014-1</id>
    <title>openSUSE-SU-2022:10014-1 — Security update for tensorflow2</title>
    <updated>2026-10-06T05:51:45.312301+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>Security update for tensorflow2</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/opensuse-su-2022:10014-1"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2021-282</id>
    <title>PYSEC-2021-282</title>
    <updated>2026-10-06T05:51:45.312341+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow</p>
<p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/inplace_ops.cc#L283) has a logic error: it should skip processing if `x` and `v` are empty but the code uses `||` instead of `&amp;&amp;`. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2021-282"/>
  </entry>
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