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CVE-2026-44222

vLLM: Remote DoS via Special-Token Placeholders

Published: May 12, 2026Updated: May 14, 2026 Sources: CVE List NVDCWE-129
6.5MEDIUM
NVD MITRE
EPSS Score
0.4%
Top 67.0%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available

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.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:LUI:NS:UC:NI:NA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:NIntegrity
None
A:HAvailability
High
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Weaknesses

CWE-129

Affected Products

vllmvllm-project
Mixed
AI / ML / llm-serving-inference
vllmvllm
Mixed
AI / ML / llm-serving-inference
vllm-projectoss-projectAI / MLaka vllm, vllm-project/vllm
vllmoss-projectAI / MLaka aibrix

Exploitability

Official Patch Available

References

https://github.com/vllm-project/vllm/security/advisories/GHSA-hpv8-x276-m59f
github.com
https://github.com/vllm-project/vllm/issues/32656
github.com

Timeline

Published
May 12, 2026
Last Updated
May 14, 2026

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