vLLM before 0.29.0 fails to enforce decoder prompt-length validation on the disaggregated serving endpoint /inference/v1/generate. When the request contains a 'features' (multimodal) payload, vllm/entrypoints/serve/disagg/serving.py builds a multimodal EngineInput directly from the caller-supplied token_ids, and GenerateRequest.token_ids (vllm/entrypoints/serve/disagg/protocol.py) is not checked against model_config.max_model_len. For multimodal processors that report skip_prompt_length_check=True (for example Nemotron Parse, Whisper, and FireRedLID), InputProcessor._validate_prompt_len() returns immediately for both encoder and decoder prompts, so an overlong prompt becomes an EngineCoreRequest and reaches the worker input-batch copy into a fixed max_model_len-wide NumPy row. A client able to reach the endpoint on an affected model configuration can therefore submit an overlong token_ids list to trigger a worker failure and denial of service. Fixed in 0.29.0.
vllm before 0.29.0 Denial of Service via Decoder Prompt Length Bypass
Problem type
Affected products
vllm-project
< 0.29.0 - AFFECTED
0.29.0 - UNAFFECTED
References
https://github.com/vllm-project/vllm/security/advisories/GHSA-3mqx-f33v-vgp9
https://www.vulncheck.com/advisories/vllm-before-0.29.0-denial-of-service-via-decoder-prompt-length-bypass
GitHub Security Advisories
GHSA-g43f-v3gj-45x5
vLLM before 0.29.0 fails to enforce decoder prompt-length validation on the disaggregated serving...
https://github.com/advisories/GHSA-g43f-v3gj-45x5vLLM before 0.29.0 fails to enforce decoder prompt-length validation on the disaggregated serving endpoint /inference/v1/generate. When the request contains a 'features' (multimodal) payload, vllm/entrypoints/serve/disagg/serving.py builds a multimodal EngineInput directly from the caller-supplied token_ids, and GenerateRequest.token_ids (vllm/entrypoints/serve/disagg/protocol.py) is not checked against model_config.max_model_len. For multimodal processors that report skip_prompt_length_check=True (for example Nemotron Parse, Whisper, and FireRedLID), InputProcessor._validate_prompt_len() returns immediately for both encoder and decoder prompts, so an overlong prompt becomes an EngineCoreRequest and reaches the worker input-batch copy into a fixed max_model_len-wide NumPy row. A client able to reach the endpoint on an affected model configuration can therefore submit an overlong token_ids list to trigger a worker failure and denial of service. Fixed in 0.29.0.
https://github.com/vllm-project/vllm/security/advisories/GHSA-3mqx-f33v-vgp9
https://nvd.nist.gov/vuln/detail/CVE-2026-100651
https://www.vulncheck.com/advisories/vllm-before-0.29.0-denial-of-service-via-decoder-prompt-length-bypass
https://github.com/advisories/GHSA-g43f-v3gj-45x5
JSON source
https://cveawg.mitre.org/api/cve/CVE-2026-100651Click to expand
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"assignerShortName": "VulnCheck",
"dateUpdated": "2026-09-26T13:23:21.141Z",
"dateReserved": "2026-09-26T02:33:07.899Z",
"datePublished": "2026-09-26T13:23:21.141Z",
"state": "PUBLISHED"
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"containers": {
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"dateUpdated": "2026-09-26T13:23:21.141Z"
},
"datePublic": "2026-09-12T00:00:00.000Z",
"title": "vllm before 0.29.0 Denial of Service via Decoder Prompt Length Bypass",
"descriptions": [
{
"lang": "en",
"value": "vLLM before 0.29.0 fails to enforce decoder prompt-length validation on the disaggregated serving endpoint /inference/v1/generate. When the request contains a 'features' (multimodal) payload, vllm/entrypoints/serve/disagg/serving.py builds a multimodal EngineInput directly from the caller-supplied token_ids, and GenerateRequest.token_ids (vllm/entrypoints/serve/disagg/protocol.py) is not checked against model_config.max_model_len. For multimodal processors that report skip_prompt_length_check=True (for example Nemotron Parse, Whisper, and FireRedLID), InputProcessor._validate_prompt_len() returns immediately for both encoder and decoder prompts, so an overlong prompt becomes an EngineCoreRequest and reaches the worker input-batch copy into a fixed max_model_len-wide NumPy row. A client able to reach the endpoint on an affected model configuration can therefore submit an overlong token_ids list to trigger a worker failure and denial of service. Fixed in 0.29.0."
}
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"defaultStatus": "unaffected",
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"url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-3mqx-f33v-vgp9",
"name": "GitHub Security Advisory (GHSA-3mqx-f33v-vgp9)",
"tags": [
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},
{
"url": "https://www.vulncheck.com/advisories/vllm-before-0.29.0-denial-of-service-via-decoder-prompt-length-bypass",
"name": "VulnCheck Advisory: vllm before 0.29.0 Denial of Service via Decoder Prompt Length Bypass",
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"attackVector": "NETWORK",
"attackComplexity": "LOW",
"privilegesRequired": "LOW",
"userInteraction": "NONE",
"scope": "UNCHANGED",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"availabilityImpact": "HIGH",
"baseScore": 6.5,
"baseSeverity": "MEDIUM"
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