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OpenAdvisories
Medium · 4.3 CVE-2026-71486 EUVD-2026-60376GHSA-8737-qx52-hjffPYSEC-2026-3936

vLLM: Derender endpoints decode caller-supplied GenerateResponse token IDs without output bounds

Published Aug 17, 2026 · Updated Aug 18, 2026 · Assigned by GitHub_M

Description

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.

Affected products

VendorProductAffectedFixed
vllm-project vllm < 0.26.0 —

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI vllm < 0.26.0 0.26.0 GHSA-8737-qx52-hjff

Advisories 1

References