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  <updated>2026-10-08T15:39:58.108117+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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  <entry>
    <id>https://cve.radiocsirt.org/vuln/cve-2025-6242</id>
    <title>CVE-2025-6242 — Vllm: server side request forgery (ssrf) in mediaconnector</title>
    <updated>2026-10-08T15:39:58.125041+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> Red Hat AI Inference Server, Red Hat Enterprise Linux AI (RHEL AI)</p>
<p>A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods fetch and process media from user-provided URLs without adequate restrictions on the target hosts. This allows an attacker to coerce the vLLM server into making arbitrary requests to internal network resources.</p></div>
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    <link href="https://cve.radiocsirt.org/vuln/cve-2025-6242"/>
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