CVE-2026-81207 in DataStage on Cloud Pak for Data
Summary
by MITRE • 09/10/2026
IBM DataStage on Cloud Pak for Data 5.4.0.0 allows any authenticated tenant — with no project membership or role — fully controls scheme/host/port/path of an outbound fetch originating from a shared-infrastructure pod, and the WSDL body is reflected verbatim to the caller. The ds-canvas pod sits on the OpenShift overlay with reach to co-tenant services, in-cluster CP4D APIs, and link-local addresses. Scope is Changed, confidentiality High (response-reflecting), integrity Low (GET-only side-effects).
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Analysis
by VulDB Data Team • 09/10/2026
The vulnerability identified in IBM DataStage within Cloud Pak for Data version 5.4.0.0 represents a critical security flaw rooted in insufficient access control and input validation mechanisms within the ds-canvas pod architecture. This component, which operates on an OpenShift overlay network with broad reach to co-tenant services, internal CP4D APIs, and link-local addresses, fails to enforce strict boundaries between authenticated tenants. Specifically, any user who has successfully authenticated to the platform can manipulate outbound fetch operations without requiring membership in a specific project or holding elevated roles. This lack of authorization checks allows an attacker to exert full control over critical parameters such as scheme, host, port, and path for requests initiated from shared infrastructure pods. The core technical flaw lies in the reflection of WSDL bodies directly back to the caller without sanitization or validation, creating a vector for both data exfiltration and potential server-side request forgery attacks against internal services that are otherwise inaccessible from external networks.
From an operational perspective, this vulnerability significantly alters the threat landscape by shifting the scope of impact from isolated tenant environments to shared infrastructure components. The confidentiality impact is rated as high because the system reflects sensitive response data verbatim to the attacker’s client. This means that any information returned by internal APIs or co-tenant services during these manipulated fetch operations can be captured and analyzed by the malicious actor. Although the integrity impact is considered low due to the GET-only nature of most side effects, the ability to probe internal network segments and extract data from protected resources constitutes a severe breach of isolation principles inherent in multi-tenancy models. The attacker leverages their authenticated status to bypass project-level restrictions, effectively treating shared infrastructure services as public endpoints accessible for arbitrary querying based on user-supplied input parameters.
This vulnerability aligns with Common Weakness Enumeration CWE-284, which describes Improper Access Control, specifically highlighting the failure to enforce proper authorization checks before allowing actions that affect system resources. Furthermore, it maps closely to MITRE ATT&CK technique T1071 Application Layer Protocol, as the attacker utilizes standard web protocols to communicate with internal services, and potentially T1598 Phishing for Information within a Cloud Environment if combined with social engineering to gain initial authentication. The reflection of WSDL bodies also touches upon CWE-20 Improper Input Validation, where user-controlled data is not adequately sanitized before being processed or returned by the application logic. These classifications underscore the severity of bypassing intended access controls in cloud-native environments where network segmentation and identity management are critical for maintaining security boundaries.
Mitigation strategies must focus on implementing strict role-based access control (RBAC) policies that enforce project-level isolation even for authenticated users. The ds-canvas pod should be configured to validate all outbound request parameters against a whitelist of allowed hosts, ports, and schemes to prevent arbitrary fetch operations. Additionally, input validation mechanisms must be strengthened to ensure that WSDL bodies are not reflected verbatim but are instead processed or sanitized before being returned to the caller. Network-level controls such as service mesh policies can further restrict communication between pods, ensuring that shared infrastructure components cannot arbitrarily reach co-tenant services unless explicitly authorized by higher-level orchestration rules. Regular security audits and penetration testing focused on multi-tenancy isolation will help identify similar weaknesses in other components of the Cloud Pak for Data suite before they can be exploited in production environments.