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CVE-2026-71486

Fixed in a distro release EPSS <1%CVSS 4.3

vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the /v1/completions/derender and /v1/chat/completions/derender endpoints accept caller-supplied GenerateResponse objects whose generate_responses, choices, token_ids, prompt_logprobs, logprobs.content, top_logprobs, and routed_experts structures are processed by OnlineDerenderer and tokenizer.decode before max_model_len, max_tokens, max_num_seqs, or response-size limits are enforced, allowing an authenticated API client to consume excessive CPU and memory and produce oversized responses. This issue is fixed in version 0.26.0.

Published 2026-08-17 · CVE record · OSV

Products: vllm-project vllm

Fixed upstream

EcosystemPackageFixed in
PyPIvllm0.26.0

Distro releases

ReleasePackageFixed in
Chainguardkserve-huggingfaceserver-cuda-13.3no fix
Chainguardlmcache-cuda-12.80
Chainguardnemo-rl-cuda-13.0-vllmno fix
Chainguardpy3.10-vllm-cuda-12.4no fix
Chainguardpy3.12-vllm-cuda-12.4no fix