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OpenShift AI EUVDEUVD-2026-55807

| CVE-2026-13717 HIGH
Improper Access Control (CWE-284)
2026-08-10 redhat GHSA-335x-vvmj-55qx
8.8
CVSS 3.1 · Vendor: redhat
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Severity by source

Vendor (redhat) PRIMARY
8.8 HIGH
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
vuln.today AI
8.3 HIGH

PR:L confirmed by 'standard user with low privileges'; A:L rather than A:H as availability impact is not explicitly described in the advisory text.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:L
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N
Red Hat
8.8 HIGH
qualitative

Primary rating from Vendor (redhat).

CVSS VectorVendor: redhat

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

Lifecycle Timeline

2
Analysis Generated
Aug 10, 2026 - 21:34 vuln.today
CVE Published
Aug 10, 2026 - 20:44 nvd
HIGH 8.8

DescriptionCVE.org

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.

AnalysisAI

The MaaS (Model-as-a-Service) Gateway component in Red Hat OpenShift AI (RHOAI) is improperly configured, enabling any low-privileged authenticated user within the platform to act as a man-in-the-middle against all model-serving traffic. Affected users can intercept, read, log, and modify requests and responses traversing the gateway, exposing highly sensitive artifacts including API access keys, user input prompts, and model outputs. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
Obtain low-privilege RHOAI account
Delivery
Access MaaS Gateway endpoint
Exploit
Intercept in-transit model inference traffic
Execution
Harvest API access keys and input prompts
Persist
Tamper with model outputs in transit
Impact
Exfiltrate credentials or corrupt downstream decisions

Vulnerability AssessmentAI

Exploitation Exploitation requires an active, authenticated account in the target Red Hat OpenShift AI (RHOAI) environment with at minimum 'standard user' (low-privilege) access - unauthenticated exploitation is not indicated by the CVSS PR:L metric. … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 8.8 High score (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) accurately reflects the severity of lateral privilege abuse within a shared AI platform: network-accessible, low complexity, requiring only standard user credentials. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario A standard user with a valid low-privilege account on a shared RHOAI cluster authenticates to the platform and leverages the improperly configured MaaS Gateway to intercept inference traffic from other users or services. The attacker reads API access keys and user prompts from in-transit model requests, exfiltrates them for credential reuse or competitive intelligence, and optionally injects modified responses to corrupt downstream decisions relying on model outputs. …
Remediation Consult the Red Hat security advisory at https://access.redhat.com/security/cve/CVE-2026-13717 for patch availability - no specific fixed version has been published in the input data, so a patched release version cannot be independently confirmed at this time. … Detailed patch versions, workarounds, and compensating controls in full report.

Recommended ActionAI

Within 24 hours: Audit RHOAI deployments to identify systems in production and assess exposure scope; establish monitoring for unauthorized traffic interception patterns. …

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Threat intelligence, references, and detailed analysis are available after sign-in.

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EUVD-2026-55807 vulnerability details – vuln.today

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