Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm_CVE-2026-5497

{
    "lastseen": "",
    "description": "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.",
    "published": "2026-06-11T08:31:18.953Z",
    "modified": "2026-06-11T08:31:18.953Z",
    "type": "cve",
    "title": "Unbounded Frame Count in video/jpeg Base64 Data URL Processing Leads to OOM DoS in vllm-project/vllm",
    "source": "@huntr_ai",
    "references": "https://huntr.com/bounties/7bd92629-b396-4449-8f88-6c0092530eb4\nhttps://github.com/vllm-project/vllm/commit/58ee61422169ce17e08248f8efa1e9df434fe395",
    "id": "CVE-2026-5497",
    "bulletinFamily": "",
    "cwe": [
        "CWE-400"
    ],
    "cvelist": null,
    "sourceData": "vllm-project vllm-project/vllm unspecified",
    "sourceHref": "",
    "cvss": {
        "score": 7.5,
        "severity": "HIGH",
        "vector": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
        "version": "3.0"
    },
    "cvss2": [],
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        "baseScore": 0,
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        "confidentialityImpact": "",
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        "availabilityImpact": "",
        "cvssV3": {
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    },
    "href": "",
    "category_name": "CVE",
    "post_link": "",
    "product": "vllm-project/vllm",
    "version": "unspecified",
    "vendor": "vllm-project",
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    "ai_score": 0
}