<?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>Sat, 17 Oct 2026 07:31:36 +0000</lastBuildDate>
    <item>
      <title>CVE-2022-40954 — Apache Airflow Spark Provider RCE that bypass restrictions to read arbitrary files</title>
      <link>https://cve.radiocsirt.org/vuln/cve-2022-40954</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Apache Software Foundation Apache Airflow Spark Provider, Apache Software Foundation Apache Airflow&lt;/p&gt;
&lt;p&gt;Improper Neutralization of Special Elements used in an OS Command (&amp;#39;OS Command Injection&amp;#39;) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; Apache Software Foundation Apache Airflow Spark Provider, Apache Software Foundation Apache Airflow&lt;/p&gt;
&lt;p&gt;Improper Neutralization of Special Elements used in an OS Command (&amp;#39;OS Command Injection&amp;#39;) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/cve-2022-40954</guid>
    </item>
    <item>
      <title>PYSEC-2026-770 — OS Command Injection in Apache Airflow</title>
      <link>https://cve.radiocsirt.org/vuln/pysec-2026-770</link>
      <description>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: apache-airflow&lt;/p&gt;
&lt;p&gt;Improper Neutralization of Special Elements used in an OS Command (&amp;#39;OS Command Injection&amp;#39;) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).&lt;/p&gt;</description>
      <content:encoded>&lt;p&gt;&lt;strong&gt;Affected:&lt;/strong&gt; PyPI: apache-airflow&lt;/p&gt;
&lt;p&gt;Improper Neutralization of Special Elements used in an OS Command (&amp;#39;OS Command Injection&amp;#39;) vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed).&lt;/p&gt;</content:encoded>
      <guid isPermaLink="false">https://cve.radiocsirt.org/vuln/pysec-2026-770</guid>
    </item>
  </channel>
</rss>
