CVE-2026-17102 in DataStage on Cloud Pak for Data
Summary
by MITRE • 09/23/2026
IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary commands due to improper neutralization of special elements used in an OS command.
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Analysis
by VulDB Data Team • 09/23/2026
The vulnerability identified within IBM DataStage, specifically as part of the Cloud Pak for Data platform version 5.4.0.0, represents a critical security flaw rooted in insufficient input validation and sanitization mechanisms. This issue is classified under Common Weakness Enumeration (CWE) ID CWE-78, which denotes Improper Neutralization of Special Elements used in an OS Command, commonly known as Operating System Command Injection. The core technical deficiency lies in the application's failure to adequately sanitize user-supplied input before it is concatenated into system-level commands for execution by the underlying operating system. When a remote authenticated attacker interacts with specific components of the DataStage environment, they can inject malicious shell metacharacters or command sequences that bypass intended logical boundaries. Because the vulnerability requires authentication, the threat actor must first possess valid credentials to access the application interface, but once inside, the lack of rigorous input filtering allows for direct manipulation of system processes.
From an operational perspective, this flaw enables a remote authenticated attacker to achieve arbitrary code execution with the privileges associated with the service account running the DataStage process. This capability fundamentally breaks the principle of least privilege and compromises the integrity, confidentiality, and availability of the entire platform infrastructure. An adversary exploiting this vulnerability could execute administrative commands, install backdoors, exfiltrate sensitive data stored within the cloud-native environment, or pivot to other systems on the network depending on the network segmentation and access controls in place. The impact is severe because DataStage often handles large volumes of enterprise data during extraction, transformation, and loading operations; compromising this component can lead to widespread data breaches or complete disruption of business-critical analytics workflows.
In terms of threat modeling and adversary behavior, this vulnerability aligns with the MITRE ATT&CK framework technique T1059, specifically sub-technique 004 which covers Command and Scripting Interpreter abuse. Attackers typically leverage such injection points to execute system commands that facilitate further exploitation stages, including privilege escalation or lateral movement. The presence of authentication requirements does not mitigate the severity significantly in enterprise environments where insider threats or compromised credentials are common attack vectors. Furthermore, since Cloud Pak for Data is often deployed on Kubernetes clusters, successful exploitation could potentially impact containerized workloads if proper isolation boundaries between application processes and host systems are not strictly enforced through security contexts and pod security policies.
To mitigate this risk, immediate action should be taken to apply the vendor-provided patches or updates that address the input validation logic within the affected version 5.4.0.0 of IBM DataStage. Organizations must ensure their patch management processes prioritize critical vulnerabilities involving command injection due to their high exploitability and impact. In addition to applying software fixes, defense-in-depth strategies should be implemented. This includes enforcing strict role-based access control (RBAC) to limit which users can interact with vulnerable endpoints, implementing web application firewalls that detect common OS command injection patterns such as pipe characters or semicolons in input fields, and monitoring system logs for anomalous process executions originating from the DataStage service account. Regular security assessments and penetration testing focused on authentication bypasses and injection flaws are also recommended to identify similar weaknesses across the broader cloud-native application ecosystem.