CVE-2026-13717

Received Received - Intake

MaaS Gateway Information Disclosure and Tampering in Red Hat OpenShift AI

Publication date: 2026-08-10

Last updated on: 2026-08-10

Assigner: Red Hat, Inc.

Description

A flaw was found in the Red Hat OpenShift AI (RHOAI) MaaS Gateway. Improper configuration of the Gateway in a model-serving context allows a standard user with low privileges to intercept, read, log, and alter all MaaS model traffic. This includes sensitive information such as access keys, input prompts, and outputs, leading to significant information disclosure and data tampering.

CVSS Scores

EPSS Scores

Probability:
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Meta Information

Published

2026-08-10

Last Modified

2026-08-10

Generated

2026-08-11

AI Q&A

2026-08-11

EPSS Evaluated

N/A

NVD

CVE-2026-13717

Affected Vendors & Products

Vendor	Product	Version / Range
red_hat	openshift_ai	*

Helpful Resources

Exploitability

CWE

KEV

CWE ID	Description
CWE-284	The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor.

Attack-Flow Graph

Executive Summary

This vulnerability is in the Red Hat OpenShift AI (RHOAI) MaaS Gateway. It allows a low-privilege user to intercept, read, log, and alter all model-serving traffic. This includes sensitive data like access keys, prompts, and outputs, leading to information disclosure and data tampering.

Impact Analysis

An attacker with low privileges could access sensitive information such as access keys, input prompts, and outputs. They could also alter this data, leading to unauthorized access, data breaches, or manipulation of model outputs.

Compliance Impact

This vulnerability could lead to significant compliance violations under GDPR and HIPAA due to unauthorized access and tampering with sensitive data. It may result in data breaches, loss of confidentiality, and failure to meet regulatory requirements for data protection.

Mitigation Strategies

Immediately review and correct the Gateway configuration in Red Hat OpenShift AI (RHOAI) MaaS Gateway to prevent unauthorized access. Restrict model-serving traffic to authorized users only and ensure sensitive data like access keys and prompts are not exposed.

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