Information Exposure Through Log Files Affecting tritonserver-backend-vllm-cuda-13.0 package, versions <25.11-r2
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
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-TRITONSERVERBACKENDVLLMCUDA130-15855795
- published31 Mar 2026
- disclosed2 Feb 2026
Introduced: 2 Feb 2026
CVE-2026-22778 (opens in a new tab)How to fix?
Upgrade Chainguard tritonserver-backend-vllm-cuda-13.0 to version 25.11-r2 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream tritonserver-backend-vllm-cuda-13.0 package and not the tritonserver-backend-vllm-cuda-13.0 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 0.8.3 to before 0.14.1, when an invalid image is sent to vLLM's multimodal endpoint, PIL throws an error. vLLM returns this error to the client, leaking a heap address. With this leak, we reduce ASLR from 4 billion guesses to ~8 guesses. This vulnerability can be chained a heap overflow with JPEG2000 decoder in OpenCV/FFmpeg to achieve remote code execution. This vulnerability is fixed in 0.14.1.
References
- https://github.com/vllm-project/vllm/pull/31987
- https://github.com/vllm-project/vllm/pull/32319
- https://github.com/vllm-project/vllm/releases/tag/v0.14.1
- https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv
- https://github.com/projectdiscovery/nuclei-templates/blob/main/http/cves/2026/CVE-2026-22778.yaml