Resource Exhaustion Affecting vllm-cu129 package, versions <0.26.0-r0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-MINIMOSLATEST-VLLMCU129-19204116
- published23 Aug 2026
- disclosed17 Aug 2026
Introduced: 17 Aug 2026
CVE-2026-71486 (opens in a new tab)How to fix?
Upgrade Minimos:latest vllm-cu129 to version 0.26.0-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream vllm-cu129 package and not the vllm-cu129 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. 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.
References
- https://www.cve.org/CVERecord?id=CVE-2026-71486
- https://osv.dev/vulnerability/MINI-wwj8-fv7x-7m55
- https://osv.dev/vulnerability/CVE-2026-71486
- https://github.com/vllm-project/vllm/commit/8e61b646e2d157f9b93451fa048f9c8530c8a67b
- https://github.com/vllm-project/vllm/pull/47260
- https://github.com/vllm-project/vllm/releases/tag/v0.26.0
- https://github.com/vllm-project/vllm/security/advisories/GHSA-8737-qx52-hjff