Allocation of Resources Without Limits or Throttling Affecting tritonserver-backend-vllm-cuda-12.9 package, versions <25.9.0_git20251112-r1
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-CHAINGUARDLATEST-TRITONSERVERBACKENDVLLMCUDA129-14156327
- published2 Dec 2025
- disclosed21 Nov 2025
Introduced: 21 Nov 2025
CVE-2025-62426 (opens in a new tab)How to fix?
Upgrade Chainguard tritonserver-backend-vllm-cuda-12.9 to version 25.9.0_git20251112-r1 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream tritonserver-backend-vllm-cuda-12.9 package and not the tritonserver-backend-vllm-cuda-12.9 package as distributed by Chainguard.
See How to fix? for Chainguard relevant fixed versions and status.
vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1.
References
- https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/chat_utils.py#L1602-L1610
- https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/openai/serving_engine.py#L809-L814
- https://github.com/vllm-project/vllm/commit/3ada34f9cb4d1af763fdfa3b481862a93eb6bd2b
- https://github.com/vllm-project/vllm/pull/27205
- https://github.com/vllm-project/vllm/security/advisories/GHSA-69j4-grxj-j64p