<?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>2026-10-03T10:56:37.049274+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/bit-tensorflow-2023-25671</id>
    <title>BIT-tensorflow-2023-25671 — TensorFlow has segmentation fault in tfg-translate</title>
    <updated>2026-10-03T10:56:37.167373+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. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/bit-tensorflow-2023-25671"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-218411</id>
    <title>EUVD-2026-218411</title>
    <updated>2026-10-03T10:56:37.167436+00:00</updated>
    <content>EUVD-2026-218411</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-218411"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2023-25671</id>
    <title>fkie_cve-2023-25671</title>
    <updated>2026-10-03T10:56:37.167453+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2023-25671"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-j5w9-hmfh-4cr6</id>
    <title>GHSA-j5w9-hmfh-4cr6 — TensorFlow has segmentation fault in tfg-translate</title>
    <updated>2026-10-03T10:56:37.167478+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow, PyPI: tensorflow-cpu</p>
<p>### Impact
Out-of-bounds access due to mismatched integer type sizes in ValueMap::Manager::GetValueOrCreatePlaceholder. Bug with tfg-translate call to InitMlir. The problem happens with generic functions, as it is already handled for non-generic functions. This is because they, unlike non-generic functions, are using the "old importer". A better long-term solution may be to have the "new importer" handle generic functions.</p>
<p>### Patches
We have patched the issue in GitHub
- commit [760322a71ac9033e122ef1f4b1c62813021e5938](https://github.com/tensorflow/tensorflow/commit/760322a71ac9033e122ef1f4b1c62813021e5938).
- commit [2eedc8f676d2c3b8be9492e547b2bc814c10b367](https://github.com/tensorflow/tensorflow/commit/2eedc8f676d2c3b8be9492e547b2bc814c10b367)</p>
<p>The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1</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 r3pwnx</p>
<p>### Affiliation
360 AIVul</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-j5w9-hmfh-4cr6"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/gsd-2023-25671</id>
    <title>gsd-2023-25671</title>
    <updated>2026-10-03T10:56:37.167516+00:00</updated>
    <content>gsd-2023-25671</content>
    <link href="https://cve.radiocsirt.org/vuln/gsd-2023-25671"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/msrc_cve-2023-25671</id>
    <title>msrc_CVE-2023-25671 — TensorFlow has segmentation fault in tfg-translate</title>
    <updated>2026-10-03T10:56:37.167529+00:00</updated>
    <content>msrc_CVE-2023-25671</content>
    <link href="https://cve.radiocsirt.org/vuln/msrc_cve-2023-25671"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-1953</id>
    <title>PYSEC-2026-1953 — TensorFlow has segmentation fault in tfg-translate</title>
    <updated>2026-10-03T10:56:37.167544+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: tensorflow-cpu</p>
<p>### Impact
Out-of-bounds access due to mismatched integer type sizes in ValueMap::Manager::GetValueOrCreatePlaceholder. Bug with tfg-translate call to InitMlir. The problem happens with generic functions, as it is already handled for non-generic functions. This is because they, unlike non-generic functions, are using the "old importer". A better long-term solution may be to have the "new importer" handle generic functions.</p>
<p>### Patches
We have patched the issue in GitHub
- commit [760322a71ac9033e122ef1f4b1c62813021e5938](https://github.com/tensorflow/tensorflow/commit/760322a71ac9033e122ef1f4b1c62813021e5938).
- commit [2eedc8f676d2c3b8be9492e547b2bc814c10b367](https://github.com/tensorflow/tensorflow/commit/2eedc8f676d2c3b8be9492e547b2bc814c10b367)</p>
<p>The fix will be included in TensorFlow 2.12.0. We will also cherrypick this commit on TensorFlow 2.11.1</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 r3pwnx</p>
<p>### Affiliation
360 AIVul</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-1953"/>
  </entry>
</feed>
