Covert Timing Channel Affecting tritonserver-backend-vllm-cuda-12.9 package, versions <25.9.0_git20251016-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-CHAINGUARDLATEST-TRITONSERVERBACKENDVLLMCUDA129-13600378
- published17 Oct 2025
- disclosed7 Oct 2025
Introduced: 7 Oct 2025
NewCVE-2025-59425 (opens in a new tab)How to fix?
Upgrade Chainguard tritonserver-backend-vllm-cuda-12.9 to version 25.9.0_git20251016-r0 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). Before version 0.11.0rc2, the API key support in vLLM performs validation using a method that was vulnerable to a timing attack. API key validation uses a string comparison that takes longer the more characters the provided API key gets correct. Data analysis across many attempts could allow an attacker to determine when it finds the next correct character in the key sequence. Deployments relying on vLLM's built-in API key validation are vulnerable to authentication bypass using this technique. Version 0.11.0rc2 fixes the issue.
References
- https://github.com/vllm-project/vllm/blob/4b946d693e0af15740e9ca9c0e059d5f333b1083/vllm/entrypoints/openai/api_server.py#L1270-L1274
- https://github.com/vllm-project/vllm/commit/ee10d7e6ff5875386c7f136ce8b5f525c8fcef48
- https://github.com/vllm-project/vllm/releases/tag/v0.11.0
- https://github.com/vllm-project/vllm/security/advisories/GHSA-wr9h-g72x-mwhm