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  <title>Most recent entries from all</title>
  <updated>2026-10-04T15:20:26.860301+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
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  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/certfr-2025-avi-0967</id>
    <title>certfr-2025-avi-0967 — De multiples vulnérabilités ont été découvertes dans les produits VMware. Elles permettent à un attaquant de provoquer…</title>
    <updated>2026-10-04T15:20:27.095959+00:00</updated>
    <content>certfr-2025-avi-0967</content>
    <link href="https://cve.radiocsirt.org/vuln/certfr-2025-avi-0967"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-255292</id>
    <title>EUVD-2026-255292</title>
    <updated>2026-10-04T15:20:27.096029+00:00</updated>
    <content>EUVD-2026-255292</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-255292"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2025-6242</id>
    <title>fkie_cve-2025-6242</title>
    <updated>2026-10-04T15:20:27.096044+00:00</updated>
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      <div xmlns="http://www.w3.org/1999/xhtml">
        <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>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2025-6242"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-3f6c-7fw2-ppm4</id>
    <title>GHSA-3f6c-7fw2-ppm4 — vLLM is vulnerable to Server-Side Request Forgery (SSRF) through `MediaConnector` class</title>
    <updated>2026-10-04T15:20:27.096077+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: vllm</p>
<p>### Summary</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>
<p>This vulnerability is particularly critical in containerized environments like `llm-d`, where a compromised vLLM pod could be used to scan the internal network, interact with other pods, and potentially cause denial of service or access sensitive data. For example, an attacker could make the vLLM pod send malicious requests to an internal `llm-d` management endpoint, leading to system instability by falsely reporting metrics like the KV cache state.</p>
<p>### Vulnerability Details</p>
<p>The core of the vulnerability lies in the `MediaConnector.load_from_url` method and its asynchronous counterpart. These methods accept a URL string to fetch media content (images, audio, video).</p>
<p>https://github.com/vllm-project/vllm/blob/119f683949dfed10df769fe63b2676d7f1eb644e/vllm/multimodal/utils.py#L97-L113</p>
<p>The function directly processes URLs with `http`, `https`, and `file` schemes. An attacker can supply a URL pointing to an internal IP address or a `localhost` endpoint. The vLLM server will then initiate a connection to this internal resource.</p>
<p>* **HTTP/HTTPS Scheme:** An attacker can…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-3f6c-7fw2-ppm4"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-2011</id>
    <title>PYSEC-2026-2011 — vLLM is vulnerable to Server-Side Request Forgery (SSRF) through `MediaConnector` class</title>
    <updated>2026-10-04T15:20:27.096126+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: vllm</p>
<p>### Summary</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>
<p>This vulnerability is particularly critical in containerized environments like `llm-d`, where a compromised vLLM pod could be used to scan the internal network, interact with other pods, and potentially cause denial of service or access sensitive data. For example, an attacker could make the vLLM pod send malicious requests to an internal `llm-d` management endpoint, leading to system instability by falsely reporting metrics like the KV cache state.</p>
<p>### Vulnerability Details</p>
<p>The core of the vulnerability lies in the `MediaConnector.load_from_url` method and its asynchronous counterpart. These methods accept a URL string to fetch media content (images, audio, video).</p>
<p>https://github.com/vllm-project/vllm/blob/119f683949dfed10df769fe63b2676d7f1eb644e/vllm/multimodal/utils.py#L97-L113</p>
<p>The function directly processes URLs with `http`, `https`, and `file` schemes. An attacker can supply a URL pointing to an internal IP address or a `localhost` endpoint. The vLLM server will then initiate a connection to this internal resource.</p>
<p>* **HTTP/HTTPS Scheme:** An attacker can…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-2011"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/rhsa-2025:23078</id>
    <title>RHSA-2025:23078 — Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (CUDA)</title>
    <updated>2026-10-04T15:20:27.096197+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>ray: Ray Job Submission Arbitrary Code Execution libtiff: TIFFRasterScanlineSize64 produce too-big size and could cause OOM libtiff: Segment fault in libtiff  in TIFFReadRGBATileExt() leading to denial of service shadow-utils: Default subordinate ID configuration in /etc/login.defs could lead to compromise libssh: out-of-bounds read in sftp_handle() vllm: Server Side request forgery (SSRF) in MediaConnector sqlite: Integer Truncation in SQLite libtiff: LibTIFF Use-After-Free Vulnerability openssl: Out-of-bounds read &amp; write in RFC 3211 KEK Unwrap libtiff: Libtiff Write-What-Where golang.org/x/oauth2/jws: Unexpected memory consumption during token parsing in golang.org/x/oauth2/jws golang.org/x/crypto/ssh: Denial of Service in the Key Exchange of golang.org/x/crypto/ssh runc: container escape with malicious config due to /dev/console mount and related races vim: Vim path traversial vim: Vim path traversal firefox: thunderbird: expat: libexpat in Expat allows attackers to trigger large dynamic memory allocations via a small document that is submitted for parsing vllm: Timing Attack in vLLM API Token Verification Leading to Authentication Bypass ray: Ray is vulnerable to RCE via Safari &amp; Firefox Browsers through DNS Rebinding Attack starlette: Starlette DoS via Range header merging vllm: vLLM: Remote Code Execution via malicious model configuration</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/rhsa-2025:23078"/>
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