<?xml version='1.0' encoding='UTF-8'?>
<?xml-stylesheet href="/static/style.xsl" type="text/xsl"?>
<rss xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" version="2.0">
  <channel>
    <title>Most recent entries from all</title>
    <link>https://cve.radiocsirt.org</link>
    <description>Contains only the most 10 recent entries.</description>
    <docs>http://www.rssboard.org/rss-specification</docs>
    <generator>python-feedgen</generator>
    <language>en</language>
    <lastBuildDate>Tue, 06 Oct 2026 16:24:01 +0000</lastBuildDate>
    <item>
      <title>BIT-tensorflow-2021-41225 — A use of uninitialized value vulnerability in Tensorflow</title>
      <link>https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-41225</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Bitnami: tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&amp;#39;s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Bitnami: tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&amp;#39;s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/bit-tensorflow-2021-41225</guid>
    </item>
    <item>
      <title>cnvd-2021-92554</title>
      <link>https://cve.radiocsirt.org/vuln/cnvd-2021-92554</link>
      <description>cnvd-2021-92554</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cnvd-2021-92554</guid>
    </item>
    <item>
      <title>EUVD-2026-31617</title>
      <link>https://cve.radiocsirt.org/vuln/euvd-2026-31617</link>
      <description>EUVD-2026-31617</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/euvd-2026-31617</guid>
    </item>
    <item>
      <title>fkie_cve-2021-41225</title>
      <link>https://cve.radiocsirt.org/vuln/fkie_cve-2021-41225</link>
      <description>&lt;p&gt;TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&amp;#39;s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&amp;#39;s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/fkie_cve-2021-41225</guid>
    </item>
    <item>
      <title>GHSA-7r94-xv9v-63jw — A use of uninitialized value vulnerability in Tensorflow</title>
      <link>https://cve.radiocsirt.org/vuln/ghsa-7r94-xv9v-63jw</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu&lt;/p&gt;
&lt;p&gt;### Impact
TensorFlow&amp;#39;s Grappler optimizer has a [use of unitialized variable](https://github.com/tensorflow/tensorflow/blob/3457a2b122e50b4d44ceaaed5a663d635e5c22df/tensorflow/core/grappler/optimizers/auto_parallel.cc#L155-L164):&lt;/p&gt;
&lt;p&gt;```cc
  const NodeDef* dequeue_node;
  for (const auto&amp;amp; train_node : train_nodes) {
    if (IsDequeueOp(*train_node)) {
      dequeue_node = train_node;
      break;
    }
  }&lt;/p&gt;
&lt;p&gt;if (dequeue_node) {
    ...
  }
```&lt;/p&gt;
&lt;p&gt;If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized.&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [68867bf01239d9e1048f98cbad185bf4761bedd3](https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3).&lt;/p&gt;
&lt;p&gt;The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;
&lt;p&gt;### 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.&lt;/p&gt;
&lt;p&gt;### Attribution
This vulnerability has been reported by Qian Feng from Baidu Security Team.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu&lt;/p&gt;
&lt;p&gt;### Impact
TensorFlow&amp;#39;s Grappler optimizer has a [use of unitialized variable](https://github.com/tensorflow/tensorflow/blob/3457a2b122e50b4d44ceaaed5a663d635e5c22df/tensorflow/core/grappler/optimizers/auto_parallel.cc#L155-L164):&lt;/p&gt;
&lt;p&gt;```cc
  const NodeDef* dequeue_node;
  for (const auto&amp;amp; train_node : train_nodes) {
    if (IsDequeueOp(*train_node)) {
      dequeue_node = train_node;
      break;
    }
  }&lt;/p&gt;
&lt;p&gt;if (dequeue_node) {
    ...
  }
```&lt;/p&gt;
&lt;p&gt;If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized.&lt;/p&gt;
&lt;p&gt;### Patches
We have patched the issue in GitHub commit [68867bf01239d9e1048f98cbad185bf4761bedd3](https://github.com/tensorflow/tensorflow/commit/68867bf01239d9e1048f98cbad185bf4761bedd3).&lt;/p&gt;
&lt;p&gt;The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;
&lt;p&gt;### 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.&lt;/p&gt;
&lt;p&gt;### Attribution
This vulnerability has been reported by Qian Feng from Baidu Security Team.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/ghsa-7r94-xv9v-63jw</guid>
    </item>
    <item>
      <title>gsd-2021-41225</title>
      <link>https://cve.radiocsirt.org/vuln/gsd-2021-41225</link>
      <description>gsd-2021-41225</description>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/gsd-2021-41225</guid>
    </item>
    <item>
      <title>openSUSE-SU-2024:12116-1 — tensorflow-lite-2.9.1-1.1 on GA media</title>
      <link>https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1</link>
      <description>&lt;p&gt;tensorflow-lite-2.9.1-1.1 on GA media&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;tensorflow-lite-2.9.1-1.1 on GA media&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/opensuse-su-2024:12116-1</guid>
    </item>
    <item>
      <title>PYSEC-2021-417</title>
      <link>https://cve.radiocsirt.org/vuln/pysec-2021-417</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&amp;#39;s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: tensorflow&lt;/p&gt;
&lt;p&gt;TensorFlow is an open source platform for machine learning. In affected versions TensorFlow&amp;#39;s Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/pysec-2021-417</guid>
    </item>
  </channel>
</rss>
