<?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://vulnerability.circl.lu/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-09-29T22:38:24.577617+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>info@circl.lu</email>
  </author>
  <link href="https://vulnerability.circl.lu" 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://vulnerability.circl.lu/vuln/cve-2025-12343</id>
    <title>CVE-2025-12343 — Ffmpeg: double-free vulnerability in ffmpeg tensorflow dnn backend</title>
    <updated>2026-09-29T22:38:24.581196+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> ffmpeg</p>
<p>A flaw was found in FFmpeg’s TensorFlow backend within the libavfilter/dnn_backend_tf.c source file. The issue occurs in the dnn_execute_model_tf() function, where a task object is freed multiple times in certain error-handling paths. This redundant memory deallocation can lead to a double-free condition, potentially causing FFmpeg or any application using it to crash when processing TensorFlow-based DNN models. This results in a denial-of-service scenario but does not allow arbitrary code execution under normal conditions.</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/cve-2025-12343"/>
  </entry>
  <entry>
    <id>https://vulnerability.circl.lu/vuln/usn-8469-1</id>
    <title>USN-8469-1 — ffmpeg vulnerabilities</title>
    <updated>2026-09-29T22:38:24.581308+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Ubuntu:Pro:20.04:LTS: ffmpeg, Ubuntu:Pro:22.04:LTS: ffmpeg, Ubuntu:Pro:24.04:LTS: ffmpeg, Ubuntu:Pro:26.04:LTS: ffmpeg</p>
<p>Jiasheng Jiang discovered that FFmpeg incorrectly handled memory in
certain error-handling paths of its TensorFlow DNN backend. An attacker
could possibly use this issue to cause a denial of service. This issue only
affected Ubuntu 24.04 LTS. (CVE-2025-12343)</p>
<p>Quang Luong discovered that FFmpeg incorrectly handled certain subsample
data. An attacker could possibly use this issue to cause a denial of
service or possibly execute arbitrary code. (CVE-2026-40962)</p></div>
    </content>
    <link href="https://vulnerability.circl.lu/vuln/usn-8469-1"/>
  </entry>
</feed>
