HOMEVULNERABILITIESCVE-2026-12491
MEDIUM

CVE-2026-12491

CWE-115Published: June 17, 2026· Updated: Jun 17, 2026

4.8
CVSS v3.1

Official 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.

NVD Source

Technical Analysis

CVE-2026-12491 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.

The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.

CVSS v3.1 Vector Breakdown

Exploitability
Attack VectorNetwork
Attack ComplexityHigh
Privileges Req.None
User InteractionNone
ScopeUnchanged
Impact
ConfidentialityNone
IntegrityLow
AvailabilityLow
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:L

Exploit & PoC Resources

NO KNOWN EXPLOITNo public exploit confirmed at this time
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All References (2)

Quick Facts

CVE IDCVE-2026-12491
CVSS Score4.8 / 10
SeverityMEDIUM
WeaknessCWE-115
CISA KEVNo
PublishedJun 17, 2026

Related CVEs (CWE-115)

Recommended Actions

  • Apply vendor patches immediately
  • Monitor CVE-2026-12491 in threat intel feeds
  • Review IDS/IPS signatures for exploitation attempts
Data sourced from NVD (NIST), CISA KEV, and EPSS (FIRST). Analysis generated by CTIWATCH.COM. CVE data is provided under the NVD usage policy.