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.
Advisories
Source ID Title
Github GHSA Github GHSA GHSA-4r2x-xpjr-7cvv vLLM has RCE In Video Processing
Fixes

Solution

No solution given by the vendor.


Workaround

No workaround given by the vendor.

History

Mon, 02 Feb 2026 23:15:00 +0000

Type Values Removed Values Added
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.
Title vLLM leaks a heap address when PIL throws an error
Weaknesses CWE-532
References
Metrics cvssV3_1

{'score': 9.8, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H'}


Projects

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2026-02-02T21:09:53.265Z

Reserved: 2026-01-09T18:27:19.388Z

Link: CVE-2026-22778

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-02-02T23:16:06.700

Modified: 2026-02-02T23:16:06.700

Link: CVE-2026-22778

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

No data.

Weaknesses