CVE-2026-44222
Last modified
CVE-2026-44222 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. vLLM is an inference and serving engine for large language models (LLMs). From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. EPSS estimates a 0.41% chance of exploitation in the next 30 days.
Description
vLLM is an inference and serving engine for large language models (LLMs). From 0.6.1 to before 0.20.0, there is a a Token Injection vulnerability in vLLM’s multimodal processing. Unauthenticated, text-only prompts that spell special tokens are interpreted as control. Image and video placeholder sequences supplied without matching data cause vLLM to index into empty grids during input-position computation, raising an unhandled IndexError and terminating the worker or degrading availability. Multimodal paths that rely on image_grid_thw/video_grid_thw are affected. This vulnerability is fixed in 0.20.0.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Vllm | Vllm | >= 0.6.1, < 0.20.0 |
References
- https://github.com/vllm-project/vllm/issues/32656Issue Tracking
- https://github.com/vllm-project/vllm/security/advisories/GHSA-hpv8-x276-m59fExploit, Vendor Advisory
Timeline
- Published
- Last Modified
- Status
- Analyzed
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