<?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://db.gcve.eu/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-09-29T23:02:46.529273+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>info@gcve.eu</email>
  </author>
  <link href="https://db.gcve.eu" 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://db.gcve.eu/vuln/cve-2026-66007</id>
    <title>CVE-2026-66007 — Datasets Path Traversal via Unsanitized file_name Metadata</title>
    <updated>2026-09-29T23:02:46.530552+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> huggingface datasets</p>
<p>Datasets through 5.0.0, fixed in commit f989ef9, contains a path traversal vulnerability in folder-based dataset builders where the file_name metadata field is not properly validated before being joined to the dataset directory. Attackers can supply crafted file_name values with directory traversal sequences to read arbitrary local files, which are then embedded into output when save_to_disk or push_to_hub is called.</p></div>
    </content>
    <link href="https://db.gcve.eu/vuln/cve-2026-66007"/>
  </entry>
</feed>
