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CVE-2026-22778 Detail

Description

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.


Metrics

NVD enrichment efforts reference publicly available information to associate vector strings. CVSS information contributed by other sources is also displayed.
CVSS 4.0 Severity and Vector Strings:

NIST CVSS score
NIST: NVD
N/A
NVD assessment not yet provided.

References to Advisories, Solutions, and Tools

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URL Source(s) Tag(s)
https://github.com/vllm-project/vllm/pull/31987 GitHub, Inc.
https://github.com/vllm-project/vllm/pull/32319 GitHub, Inc.
https://github.com/vllm-project/vllm/releases/tag/v0.14.1 GitHub, Inc.
https://github.com/vllm-project/vllm/security/advisories/GHSA-4r2x-xpjr-7cvv GitHub, Inc.

Weakness Enumeration

CWE-ID CWE Name Source
CWE-532 Insertion of Sensitive Information into Log File GitHub, Inc.  

Change History

1 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2026-22778
NVD Published Date:
02/02/2026
NVD Last Modified:
02/03/2026
Source:
GitHub, Inc.