CVE-2026-73559
vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.26.0, the /v1/completions CompletionRequest.prompt fi
CVSS
6.5
Medio
EPSS
—
KEV
—
Exploit Today
—
0-100
Publicado: 13 ago 2026 · Última mod.: 14 ago 2026 · CWE-400
Sin historial EPSS suficiente todavía.
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.
- github.comhttps://github.com/vllm-project/vllm/commit/675f4295cdfe0d870471c2b51bfeca3a68a9569e
- github.comhttps://github.com/vllm-project/vllm/pull/47845
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.26.0
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j