CVE-2026-18533 in Maximo Application Suite
Summary
by MITRE • 10/13/2026
IBM Maximo Application Suite - Location Service for Esri Component 9.2, 9.1, and 9.0 is vulnerable to improper input validation due to an unsanitised container image configuration in a Kubernetes operator template.
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Analysis
by VulDB Data Team • 10/13/2026
The vulnerability identified in IBM Maximo Application Suite versions 9.0 through 9.2 specifically affects the Location Service for Esri Component. This security flaw stems from an improperly configured container image within the Kubernetes operator templates that manage this service. The core technical issue is a failure to enforce strict input validation and sanitization during the deployment or configuration phase of the application components running on Kubernetes infrastructure. Because the container images are defined via these operator templates, any misconfiguration allows for the injection of malicious parameters or unauthorized modifications to the runtime environment without adequate checks against expected formats or values.
This lack of proper input validation creates a significant attack surface within the orchestration layer rather than just the application logic itself. An attacker with access to modify the Kubernetes configuration files or exploit weaknesses in the operator's handling of these templates could potentially alter how the containerized service is instantiated. This might involve injecting arbitrary commands, modifying environment variables that control security contexts, or manipulating volume mounts. The unsanitized nature of this configuration means that the system does not adequately filter out dangerous inputs before they are processed by the Kubernetes scheduler and subsequently applied to the running containers.
The operational impact of such a vulnerability is severe due to its potential for privilege escalation and lateral movement within the cluster. If an attacker successfully exploits this misconfiguration, they could gain control over the container runtime environment associated with the Location Service. This access can be leveraged to execute arbitrary code on the underlying nodes if security boundaries are not strictly enforced by other means such as Pod Security Policies or Admission Controllers. Furthermore, compromising the operator template configuration allows for persistent backdoors that survive application restarts and updates, effectively undermining the integrity of the entire Maximo Application Suite deployment in affected environments.
From a classification perspective, this vulnerability aligns with CWE-20 Improper Input Validation, as the system fails to verify or sanitize user-supplied input before processing it within the Kubernetes operator context. It also relates to CWE-94 Improper Control of Generation of Code Command Injection if the unsanitized inputs lead to direct command execution on host systems. In terms of adversary tactics, this flaw supports techniques associated with ATT&CK T1608 Remote File Copy for initial access or persistence via configuration manipulation, and potentially T1525 Internal Cloud Discovery if used as a pivot point within the cloud-native infrastructure.
Mitigation strategies must focus on hardening the Kubernetes operator configurations and enforcing strict security policies at the cluster level. Administrators should immediately review and update the container image definitions in the Maximo Application Suite templates to ensure they use trusted, verified base images with minimal attack surfaces. Implementing admission controllers such as OPA Gatekeeper or Kyverno can help enforce validation rules that prevent unauthorized modifications to operator configurations. Additionally, enabling audit logging for Kubernetes API server requests allows for the detection of any attempts to modify these critical configuration files. Regular security assessments and penetration testing focused on container orchestration layers are essential to identify similar misconfigurations before they can be exploited by malicious actors seeking to compromise enterprise asset management systems.