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CVE-2026-12491

Vllm: vllm: image exif rotation & png trns transparency not normalized, causing mismatch between model input and expectations

Published: Jun 17, 2026Updated: Jun 17, 2026 Sources: CVE List NVDCWE-115
NVD MITRE
4.8CVSSMEDIUM
EPSS Score
0.2%
Top 85.3%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
No Fix Available

Description

A flaw was found in vLLM, an open-source library for large language model inference. This vulnerability arises from improper handling of image metadata, specifically EXIF orientation and PNG transparency (tRNS) data, during image processing. When images are converted to RGB, transparency information may be implicitly discarded or remapped, leading to unexpected rendering of transparent pixels and distortion of input content. This can result in the model misinterpreting image content, potentially affecting the integrity of processed data.

CVSS Vector Breakdown

AV:NAC:HPR:NUI:NS:UC:NI:LA:L
Exploitability
AV:NAttack Vector
Network
AC:HAttack Complexity
High
PR:NPrivileges Required
None
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:LIntegrity
Low
A:LAvailability
Low
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Weaknesses

CWE-115

Affected Products

Red Hat AI Inference ServerRed Hat
On-prem
Operating Systems / linux-distro
Red Hat Enterprise Linux AI (RHEL AI) 3Red Hat
On-prem
Operating Systems / linux-distro
Red Hat OpenShift AI (RHOAI)Red Hat
On-prem
Operating Systems / linux-distro
red hatcommercialUSOperating Systemsaka red hat

Exploitability

No known exploits, KEV entries, or remediation guidance available for this vulnerability yet.

References

https://access.redhat.com/security/cve/CVE-2026-12491
access.redhat.com
https://bugzilla.redhat.com/show_bug.cgi?id=2489786
bugzilla.redhat.com

Timeline

Published
Jun 17, 2026
Last Updated
Jun 17, 2026

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