FKIE_CVE-2026-5497

Vulnerability from fkie_nvd - Published: 2026-06-11 10:16 - Updated: 2026-06-11 15:37
Severity
7.5 (High) - CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Summary
vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication.
References
security@huntr.devhttps://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395
security@huntr.devhttps://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4
134c704f-9b21-4f2e-91b3-4a467353bcc0https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4
Impacted products
Vendor Product Version
To clipboard 

{
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "vLLM versions 0.8.0 and later are vulnerable to an Out-of-Memory (OOM) Denial of Service (DoS) attack due to unbounded frame count processing in the `VideoMediaIO.load_base64()` method. When processing `video/jpeg` data URLs, the method splits the base64 data string on commas to extract individual JPEG frames without enforcing a frame count limit. An attacker can exploit this by crafting a single API request containing thousands of comma-separated base64-encoded JPEG frames in a data URL, causing the server to decode all frames into memory and crash due to excessive memory consumption. This vulnerability is reachable via the OpenAI-compatible chat completions API and does not require authentication."
    }
  ],
  "id": "CVE-2026-5497",
  "lastModified": "2026-06-11T15:37:21.933",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "NONE",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "security@huntr.dev",
        "type": "Secondary"
      }
    ]
  },
  "published": "2026-06-11T10:16:21.903",
  "references": [
    {
      "source": "security@huntr.dev",
      "url": "https://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395"
    },
    {
      "source": "security@huntr.dev",
      "url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "url": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4"
    }
  ],
  "sourceIdentifier": "security@huntr.dev",
  "vulnStatus": "Awaiting Analysis",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-400"
        }
      ],
      "source": "security@huntr.dev",
      "type": "Secondary"
    }
  ]
}


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