FKIE_CVE-2025-6242

Vulnerability from fkie_nvd - Published: 2025-10-07 20:15 - Updated: 2026-06-17 10:01
Summary
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.
Impacted products
Vendor Product Version

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          "cpes": [
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          "packageName": "rhaiis-preview/vllm-cuda-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
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          "cpes": [
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          "packageName": "rhaiis/vllm-cuda-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
        },
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          "cpes": [
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          "defaultStatus": "affected",
          "packageName": "rhaiis/vllm-rocm-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
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          "cpes": [
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          "packageName": "rhaiis/vllm-tpu-rhel9",
          "product": "Red Hat AI Inference Server",
          "vendor": "Red Hat"
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      "source": "secalert@redhat.com"
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  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A Server-Side Request Forgery (SSRF) vulnerability exists in the MediaConnector class within the vLLM project\u0027s 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."
    }
  ],
  "id": "CVE-2025-6242",
  "lastModified": "2026-06-17T10:01:26.943",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "LOW",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:L/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.6,
        "impactScore": 5.5,
        "source": "secalert@redhat.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
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        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-6242",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-10-07T19:55:28.751523Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-10-07T20:15:36.187",
  "references": [
    {
      "source": "secalert@redhat.com",
      "url": "https://access.redhat.com/security/cve/CVE-2025-6242"
    },
    {
      "source": "secalert@redhat.com",
      "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2373716"
    }
  ],
  "sourceIdentifier": "secalert@redhat.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-918"
        }
      ],
      "source": "secalert@redhat.com",
      "type": "Secondary"
    }
  ]
}


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Taxonomy of the tags.


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Detection rules are retrieved from Rulezet.

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