Resource Exhaustion Affecting vllm package, versions *


Severity

Recommended
low

Based on default assessment until relevant scores are available.

Threat Intelligence

EPSS
0.47% (40th percentile)

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  • Snyk IDSNYK-MINIMOSLATEST-VLLM-18857567
  • published16 Aug 2026
  • disclosed13 Aug 2026

Introduced: 13 Aug 2026

CVE-2026-73559  (opens in a new tab)
CWE-400  (opens in a new tab)

How to fix?

There is no fixed version for Minimos:latest vllm.

NVD Description

Note: Versions mentioned in the description apply only to the upstream vllm package and not the vllm package as distributed by Minimos. See How to fix? for Minimos:latest relevant fixed versions and status.

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.