CVE-2026-14450: Maas-billing: maas api: privilege escalation via forged http headers due to missing authentication
A flaw was found in the MaaS API. This vulnerability allows any pod within the cluster to bypass the Kuadrant AuthPolicy gateway by forging HTTP headers, specifically `X-MaaS-Username` and `X-MaaS-Group`, which are trusted verbatim. This lack of first-party authentication enables an attacker to gain unauthorized access and escalate privileges. The concrete consequences include the ability to mint Kubernetes ServiceAccount tokens in other tenants' namespaces, revoke API keys, and exfiltrate sensitive model access configuration.
Security readout for executives and security teams
Plain-English summary
A compromised or malicious pod in an affected OpenShift AI cluster can impersonate another user or group. This could cross tenant boundaries, create Kubernetes service-account tokens, revoke API keys, and expose sensitive model-access settings.
Executive priority
Address immediately in affected multi-tenant or less-trusted clusters. The vulnerability can turn one compromised workload into cross-tenant credential and configuration compromise. Confirm affected builds, reduce pod-to-API reachability, apply Red Hat updates, and investigate suspicious activity. Escalation remains urgent despite no supplied evidence of active exploitation.
Technical view
The MaaS API trusts X-MaaS-Username and X-MaaS-Group headers without independently authenticating them. A pod able to reach the API can forge these headers and bypass Kuadrant AuthPolicy protections. This is CWE-290 with CVSS 3.1 score 9.9 because successful abuse can compromise confidentiality, integrity, and availability across security scopes.
Likely exposure
The bundle identifies Red Hat OpenShift AI 3.4 builds 1785850409 and 1787153683 of rhoai/odh-maas-api-rhel9 as affected. Exposure requires a pod inside the cluster that can reach the MaaS API. The listed MaaS controller and modular-architecture MaaS packages are marked unaffected.
Exploitation context
CISA KEV status is false, and the supplied sources do not establish active exploitation or a public exploit. Abuse nevertheless has low complexity once an attacker controls or deploys a pod with network access to the affected API. Treat internal workload compromise as a credible prerequisite, not a complete safeguard.
Researcher notes
The trust-boundary failure is first-party authentication: gateway-provided identity headers remain attacker-controlled when requests originate within the cluster. Validation should focus on whether direct pod-to-API paths preserve or overwrite those headers and whether authorization decisions rely on them. The bundle names two affected builds but does not provide detailed fixed-version data.
Mitigation direction
Review RHSA-2026:53262 and RHSA-2026:60520, then apply Red Hat's applicable updates.
Prioritize clusters running either affected rhoai/odh-maas-api-rhel9 build.
Restrict pod network access to the MaaS API where operationally feasible.
Rotate exposed credentials or tokens if investigation finds suspected cross-tenant access.
Consult Red Hat guidance for any additional supported mitigations or upgrade requirements.
Validation and detection
Inventory OpenShift AI clusters and record installed rhoai/odh-maas-api-rhel9 builds.
Confirm whether untrusted or tenant pods can reach the MaaS API.
Review available API and Kubernetes audit logs for unexpected cross-tenant token creation.
Investigate unexplained API-key revocations or access to model configuration.
After updating, verify the affected build is absent and authentication controls operate as documented.
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Potential ATT&CK relevance
Conservative CVE-to-ATT&CK context
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ATT&CK lookup starting points
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cwe · low confidence lookup
CWE-290: Exact CWE lookup
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The CVE wording references privilege impact, so privilege escalation and authorization behavior review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
The affected technology mentions containers, so container-specific ATT&CK technique review may help. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
1CVSS vectors
5Timeline events
1ADP providers
5Source links
SSVC decision data
CISA-ADPCISA Coordinator
Timestamp
Version
2.0.3
Exploitation: noneAutomatable: noTechnical Impact: total
CVSS vector scores
1 official score
We collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
CWE-290 · source CWE mapping
Authentication Bypass by Spoofing
Authentication Bypass by Spoofing represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.