vLLM Image interpretation input

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.8$0-$5k1.73-

Summaryinfo

A vulnerability was found in vLLM. It has been rated as problematic. This impacts an unknown function of the component Image Handler. This manipulation causes interpretation input. This vulnerability is registered as CVE-2026-12491. Remote exploitation of the attack is possible. No exploit is available.

Detailsinfo

A vulnerability has been found in vLLM (version unknown) and classified as problematic. Affected by this vulnerability is an unknown function of the component Image Handler. The manipulation with an unknown input leads to a interpretation input vulnerability. The CWE definition for the vulnerability is CWE-115. The product misinterprets an input, whether from an attacker or another product, in a security-relevant fashion. As an impact it is known to affect integrity, and availability. The summary by CVE is:

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.

It is possible to read the advisory at access.redhat.com. This vulnerability is known as CVE-2026-12491 since 06/17/2026. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of authentication. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 06/17/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-37645). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.8
VulDB Meta Temp Score: 4.8

VulDB Base Score: 4.8
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 4.8
CNA Vector (redhat): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Interpretation input
CWE: CWE-115 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

06/17/2026 Advisory disclosed
06/17/2026 +0 days CVE reserved
06/17/2026 +0 days VulDB entry created
06/17/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: access.redhat.com
Status: Not defined

CVE: CVE-2026-12491 (🔒)
GCVE (CVE): GCVE-0-2026-12491
GCVE (VulDB): GCVE-100-371875
EUVD: 🔒

Entryinfo

Created: 06/17/2026 13:34
Updated: 06/17/2026 19:05
Changes: 06/17/2026 13:34 (59), 06/17/2026 19:05 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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