{
    "dataType": "CVE_RECORD",
    "dataVersion": "5.2",
    "cveMetadata": {
        "cveId": "CVE-2026-44223",
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "state": "PUBLISHED",
        "assignerShortName": "GitHub_M",
        "dateReserved": "2026-05-05T15:42:40.518Z",
        "datePublished": "2026-05-12T19:58:40.862Z",
        "dateUpdated": "2026-06-22T21:49:24.277Z"
    },
    "containers": {
        "cna": {
            "title": "vLLM: extract_hidden_states speculative decoding crashes server on any request with penalty parameters",
            "problemTypes": [
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-131",
                            "lang": "en",
                            "description": "CWE-131: Incorrect Calculation of Buffer Size",
                            "type": "CWE"
                        }
                    ]
                },
                {
                    "descriptions": [
                        {
                            "cweId": "CWE-704",
                            "lang": "en",
                            "description": "CWE-704: Incorrect Type Conversion or Cast",
                            "type": "CWE"
                        }
                    ]
                }
            ],
            "metrics": [
                {
                    "cvssV3_1": {
                        "attackComplexity": "LOW",
                        "attackVector": "NETWORK",
                        "availabilityImpact": "HIGH",
                        "baseScore": 6.5,
                        "baseSeverity": "MEDIUM",
                        "confidentialityImpact": "NONE",
                        "integrityImpact": "NONE",
                        "privilegesRequired": "LOW",
                        "scope": "UNCHANGED",
                        "userInteraction": "NONE",
                        "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
                        "version": "3.1"
                    }
                }
            ],
            "references": [
                {
                    "name": "https://github.com/vllm-project/vllm/security/advisories/GHSA-83vm-p52w-f9pw",
                    "tags": [
                        "x_refsource_CONFIRM"
                    ],
                    "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-83vm-p52w-f9pw"
                },
                {
                    "name": "https://github.com/vllm-project/vllm/pull/38610",
                    "tags": [
                        "x_refsource_MISC"
                    ],
                    "url": "https://github.com/vllm-project/vllm/pull/38610"
                }
            ],
            "affected": [
                {
                    "vendor": "vllm-project",
                    "product": "vllm",
                    "versions": [
                        {
                            "version": ">= 0.18.0, < 0.20.0",
                            "status": "affected"
                        }
                    ]
                }
            ],
            "providerMetadata": {
                "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
                "shortName": "GitHub_M",
                "dateUpdated": "2026-06-22T21:49:24.277Z"
            },
            "descriptions": [
                {
                    "lang": "en",
                    "value": "vLLM is an inference and serving engine for large language models (LLMs). From 0.18.0 to before 0.20.0, the extract_hidden_states speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The crash is triggered when any request in the batch uses sampling penalty parameters (repetition_penalty, frequency_penalty, or presence_penalty). A single request with a penalty parameter (e.g., \"repetition_penalty\": 1.1) is sufficient to crash the server. This vulnerability is fixed in 0.20.0."
                }
            ],
            "source": {
                "advisory": "GHSA-83vm-p52w-f9pw",
                "discovery": "UNKNOWN"
            }
        },
        "adp": [
            {
                "references": [
                    {
                        "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-83vm-p52w-f9pw",
                        "tags": [
                            "exploit"
                        ]
                    },
                    {
                        "url": "https://github.com/vllm-project/vllm/pull/38610",
                        "tags": [
                            "exploit"
                        ]
                    }
                ],
                "metrics": [
                    {
                        "other": {
                            "type": "ssvc",
                            "content": {
                                "timestamp": "2026-05-15T14:44:05.012494Z",
                                "id": "CVE-2026-44223",
                                "options": [
                                    {
                                        "Exploitation": "poc"
                                    },
                                    {
                                        "Automatable": "no"
                                    },
                                    {
                                        "Technical Impact": "partial"
                                    }
                                ],
                                "role": "CISA Coordinator",
                                "version": "2.0.3"
                            }
                        }
                    }
                ],
                "title": "CISA ADP Vulnrichment",
                "providerMetadata": {
                    "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
                    "shortName": "CISA-ADP",
                    "dateUpdated": "2026-05-15T14:46:25.695Z"
                }
            }
        ]
    }
}