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  <updated>2026-10-08T17:49:07.761771+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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    <id>https://cve.radiocsirt.org/vuln/cve-2026-54293</id>
    <title>CVE-2026-54293 — NLTK: URL-Encoded Path Traversal in nltk.data.load() Allows Arbitrary Local File Read</title>
    <updated>2026-10-08T17:49:07.783919+00:00</updated>
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      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> nltk, Red Hat OpenShift AI 2.25, Red Hat OpenShift AI 3.4, Red Hat Exploit Intelligence, Red Hat OpenShift Lightspeed, Red Hat Ansible Automation Platform 2, Red Hat OpenShift AI (RHOAI)</p>
<p>NLTK (Natural Language Toolkit) is a suite of open source Python modules, data sets, and tutorials supporting research and development in Natural Language Processing. Prior to 3.10.0-rc1, nltk.data.load() in NLTK is vulnerable to path traversal via URL-encoded path separators and traversal segments when using the nltk: URL scheme. The unsafe-path regex check is performed before url2pathname() decodes the %xx sequences (a classic decode-after-check / TOCTOU-style flaw), allowing an attacker to bypass the protection documented in NLTK's SECURITY.md and read arbitrary files from the filesystem. While literal traversal strings such as ../../../etc/passwd are correctly blocked, encoded variants such as %2fetc%2fpasswd, %2e%2e%2f..., and ..%2f..%2f slip past the regex and are subsequently decoded into a real filesystem path. This vulnerability is fixed in 3.10.0-rc1.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/cve-2026-54293"/>
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