vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution_CVE-2026-41523

{
    "lastseen": "",
    "description": "vLLM is an inference and serving engine for large language models (LLMs). Prior to 0.22.0, an assert-based security check in vLLM's activation function loading allows any unauthenticated attacker to achieve arbitrary code execution on the server by publishing a malicious HuggingFace model, when vLLM runs in Python optimized mode (python -O or PYTHONOPTIMIZE=1). This vulnerability is fixed in 0.22.0.",
    "published": "2026-06-22T22:18:14.494Z",
    "modified": "2026-06-22T22:18:14.494Z",
    "type": "cve",
    "title": "vLLM: Security Check Bypass via assert Statement in Activation Function Loading Allows Arbitrary Code Execution",
    "source": "GitHub_M",
    "references": "https://github.com/vllm-project/vllm/security/advisories/GHSA-q8gq-377p-jq3r\nhttps://github.com/vllm-project/vllm/commit/b3c7ffcab82c2439726f8cb213800f6f38c023d3\nhttps://huntr.com/bounties/dcb05b04-e625-41e7-adbc-bbae0cc2d64c",
    "id": "CVE-2026-41523",
    "bulletinFamily": "",
    "cwe": [
        "CWE-94",
        "CWE-617"
    ],
    "cvelist": null,
    "sourceData": "vllm-project vllm < 0.22.0",
    "sourceHref": "",
    "cvss": {
        "score": 7.5,
        "severity": "HIGH",
        "vector": "CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
        "version": "3.1"
    },
    "cvss2": [],
    "cvss3": {
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        "baseScore": 0,
        "baseSeverity": "",
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        "attackComplexity": "",
        "privilegesRequired": "",
        "userInteraction": "",
        "scope": "",
        "confidentialityImpact": "",
        "integrityImpact": "",
        "availabilityImpact": "",
        "cvssV3": {
            "version": "",
            "vectorString": "",
            "baseScore": 0,
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    },
    "href": "",
    "category_name": "CVE",
    "post_link": "",
    "product": "vllm",
    "version": "< 0.22.0",
    "vendor": "vllm-project",
    "ai_description": "",
    "ai_severity": "",
    "ai_vendor": "",
    "ai_product": "",
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    "ai_score": 0
}