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CVE-2026-55514

vLLM denial of service via prompt embeds on M-RoPE models

Published: Jul 6, 2026Updated: Jul 7, 2026 Sources: CVE List NVDCWE-617
6.5MEDIUM
NVD MITRE
EPSS Score
0.4%
Top 70.3%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
Not available

Description

vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds payload in a /v1/completions request with a model using M-RoPE causes EngineCore to fail an assertion and fatally crash, shutting down the entire server application. Any remote user who is authorized to make a /v1/completions request can make such a request and induce a crash. This issue is fixed in version 0.24.0.

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-617

Affected Products

vllm
oss-projectaka aibrix
vllmMixed
AI / ML / llm-serving-inference
vllm-project
oss-projectaka vllm, vllm-project/vllm
vllmMixed
AI / ML / llm-serving-inference

Exploitability

Official Patch Available

Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

1 technique
Impact
View detailed technique mapping

References

https://github.com/vllm-project/vllm/commit/470229c37efaf69c86e8bc97482b0b1ff7551c65
github.com
https://github.com/vllm-project/vllm/pull/45252
github.com
https://github.com/vllm-project/vllm/releases/tag/v0.24.0
github.com
and 1 more references View all →

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