CVE-2026-73559

Description

vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.26.0, the /v1/completions CompletionRequest.prompt field in vllm/entrypoints/openai/completion/protocol.py accepts an unbounded list[str] or list[list[int]], prompt_to_seq() in vllm/renderers/inputs/preprocess.py and OnlineRenderer.preprocess_completion() in vllm/renderers/online_renderer.py expand every element, and vllm/entrypoints/openai/completion/serving.py creates one engine generator and response slot per prompt, allowing an authenticated API client to exhaust CPU, memory, async scheduling capacity, engine request slots, and response buffering with one request. This issue is fixed in version 0.26.0.

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Produits concernés

• vllm-project vllm
• Vllm vllm

Scores CVSS

Faiblesses (CWE)

• CWE-400

Références

• https://github.com/vllm-project/vllm/commit/675f4295cdfe0d870471c2b51bfeca3a68a9569e Patch
• https://github.com/vllm-project/vllm/pull/47845 Issue TrackingPatch
• https://github.com/vllm-project/vllm/releases/tag/v0.26.0 Release Notes
• https://github.com/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j ExploitVendor Advisory
• https://github.com/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j ExploitVendor Advisory

Ailleurs

• NVD
• CVE.org
• CIRCL Vulnerability-Lookup
• CERT-FR
• GitHub Advisories