2026-09-26 13:23CVE-2026-100651VulnCheck
PUBLISHED5.2CWE-400

vllm before 0.29.0 Denial of Service via Decoder Prompt Length Bypass

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.

Problem type

Affected products

vllm-project

vllm

< 0.29.0 - AFFECTED

0.29.0 - UNAFFECTED

References

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-45x5

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.

JSON source

https://cveawg.mitre.org/api/cve/CVE-2026-100651
Click to expand
{
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  "cveMetadata": {
    "cveId": "CVE-2026-100651",
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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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      "providerMetadata": {
        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck",
        "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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      "affected": [
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          "product": "vllm",
          "defaultStatus": "unaffected",
          "versions": [
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      "references": [
        {
          "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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      "metrics": [
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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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      "credits": [
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          "value": "rexpository",
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