CVE-2026-22778

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.

CVSS v3 9.8 CRITICAL

9.8^/10

CVSS v3 : CRITICAL

Vector :

Exploitability : 3.9 / Impact : 5.9

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction NONE

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/vllm-project/vllm/pull/31987	Issue Tracking Patch
https://github.com/vllm-project/vllm/pull/32319	Issue Tracking Patch
https://github.com/vllm-project/vllm/releases/tag/v0.14.1	Release Notes
https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv	Vendor Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2026-02-02 23:16

Updated : 2026-02-23 18:19

NVD link : CVE-2026-22778

Mitre link : CVE-2026-22778

CVE.ORG link : CVE-2026-22778

JSON object : View

Products Affected

vllm

vllm

CWE

CWE-532

Insertion of Sensitive Information into Log File

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