VULNERABILITY INTELLIGENCE
CVE-2026-73559
CVSS score6.5 MEDIUM
EPSS probability0.58%
CISA KEVNot currently listed
Published2026-08-13
Last modified2026-09-28
CVSS vectorCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
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.
Weakness classification
- security-advisories@github.com: CWE-400
Primary references
- security-advisories@github.com — Patch
- security-advisories@github.com — Issue Tracking, Patch
- security-advisories@github.com — Release Notes
- security-advisories@github.com — Exploit, Vendor Advisory
- 134c704f-9b21-4f2e-91b3-4a467353bcc0 — Exploit, Vendor Advisory