CVE-2026-100650 (GCVE-0-2026-100650)

Vulnerability from cvelistv5 – Published: 2026-09-26 13:23 – Updated: 2026-09-26 13:23
VLAI
Title
vLLM before 0.29.0 Resource Exhaustion via Unbounded Media Materialization
Summary
vLLM through 0.29.0 fetches and fully materializes remote or inline media before enforcing its documented media controls (the VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed-audio size cap, default 25 MB, and the per-modality --limit-mm-per-prompt item limits). Across four ingress paths — the shared media-acquisition layer (HTTPConnection.get_bytes()/async_get_bytes()), the chat completions audio_url/base64 path, the batch speech runner, and the Rust frontend POST /tokenize route — the server reads the entire HTTP response body, base64-decodes the inline payload, or spawns one fetch/decode task per media part, and only then applies the limit (or, on some paths, never applies it). A remote attacker can therefore cause the API server or batch-runner process to allocate memory and consume outbound bandwidth proportional to an attacker-chosen body size or media item count before the request is rejected, resulting in pre-inference memory and bandwidth exhaustion (denial of service). The chat and batch surfaces require an API key when one is configured; the Rust frontend /tokenize route is unauthenticated by design. There is no code execution or data disclosure impact.
Severity
7.1 (High)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CWE
  • CWE-400 - Uncontrolled Resource Consumption
Assigner
References
Impacted products
Vendor Product Version CPE status
vllm-project vllm Affected: 0 , < 0.29.0 (semver)
Unaffected: 0.29.0 (semver)
    cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-09-12 00:00
Credits
KernelClint jperezdealgaba
Show details on NVD website
To clipboard 

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              "version": "0",
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          "name": "GitHub Security Advisory (GHSA-p6g9-7v3x-m8mv)",
          "tags": [
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          "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-p6g9-7v3x-m8mv"
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    "datePublished": "2026-09-26T13:23:20.418Z",
    "dateReserved": "2026-09-26T02:33:07.898Z",
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          }
        ],
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                "exploitMaturity": "NOT_DEFINED",
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                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
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      "product_status:known_affected": "27",
      "source": "Red Hat CSAF VEX",
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      "title": "vllm: vLLM: Denial of Service via unbounded media ingestion",
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.