<?xml version='1.0' encoding='UTF-8'?>
<?xml-stylesheet href="/static/style.xsl" type="text/xsl"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-06T09:35:22.164942+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
  <link href="https://cve.radiocsirt.org" rel="alternate"/>
  <generator uri="https://lkiesow.github.io/python-feedgen" version="1.0.0">python-feedgen</generator>
  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/cve-2021-37642</id>
    <title>CVE-2021-37642 — Division by 0 in `ResourceScatterDiv` in TensorFlow</title>
    <updated>2026-10-06T09:35:22.166729+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> tensorflow</p>
<p>TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.ResourceScatterDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/resource_variable_ops.cc#L865) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. 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/cve-2021-37642"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-ch4f-829c-v5pw</id>
    <title>GHSA-ch4f-829c-v5pw — Division by 0 in `ResourceScatterDiv`</title>
    <updated>2026-10-06T09:35:22.166784+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.raw_ops.ResourceScatterDiv` is vulnerable to a division by 0 error:</p>
<p>```python
import tensorflow as tf</p>
<p>v= tf.Variable([1,2,3])
tf.raw_ops.ResourceScatterDiv(
  resource=v.handle,
  indices=[1],
  updates=[0])
```</p>
<p>The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/resource_variable_ops.cc#L865) uses a common class for all binary operations but fails to treat the division by 0 case separately.</p>
<p>### Patches
We have patched the issue in GitHub commit [4aacb30888638da75023e6601149415b39763d76](https://github.com/tensorflow/tensorflow/commit/4aacb30888638da75023e6601149415b39763d76).</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-ch4f-829c-v5pw"/>
  </entry>
</feed>
