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OpenAdvisories
Medium · 6.5 CVE-2026-100650 EUVD-2026-87744GHSA-j8gm-f3cq-6c27GHSA-p6g9-7v3x-m8mvPYSEC-2026-4184

vLLM before 0.29.0 Resource Exhaustion via Unbounded Media Materialization

Published Sep 26, 2026 · Updated Oct 1, 2026 · Assigned by VulnCheck

Description

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.

Affected products

VendorProductAffectedFixed
vllm-project vllm < 0.29.0 0.29.0

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI vllm < 0.30.0 0.30.0 PYSEC-2026-4184

Advisories 1

References