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CVE Watch17 ago 2026

CVE-2026-71486

vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the /v1/completions/derender and /v1/chat/completions/de

CVSS

4.3

Medio

EPSS

KEV

Exploit Today

0

0-100

Publicado: 17 ago 2026 · Última mod.: 17 ago 2026 · CWE-400 · CWE-770

EPSS · 30d

Sin historial EPSS suficiente todavía.

Descripción técnica

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.

Referencias oficiales
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