CVE-2026-82095 in DataStage on Cloud Pak for Data
Summary
by MITRE • 09/11/2026
IBM DataStage on Cloud Pak for Data 5.4.0.0 could allow a remote authenticated attacker to execute arbitrary code due to improper neutralization of special elements used in an OS command.
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Analysis
by VulDB Data Team • 09/11/2026
The vulnerability identified within IBM DataStage, specifically as deployed on the Cloud Pak for Data platform version 5.4.0.0, represents a critical security flaw rooted in the category of Operating System Command Injection. This type of weakness is formally classified under CWE-78, which describes improper neutralization of special elements used in an OS command. The core technical issue arises from the application's failure to adequately sanitize or validate user-supplied input before it is incorporated into system-level commands. When a remote authenticated attacker interacts with the vulnerable component, they can inject malicious shell metacharacters or sequences that alter the intended logic of the executed command. Because the authentication requirement limits the attack surface to users who have already gained access to the application interface, this vulnerability typically requires valid credentials to exploit, yet it remains severe due to the potential for full system compromise once those credentials are obtained.
From an operational perspective, the impact of this flaw is profound and extends beyond simple data exposure. An attacker leveraging this command injection vector can execute arbitrary operating system commands with the privileges granted to the underlying application process. In many enterprise deployments, these processes run with elevated permissions necessary for database interactions or file management operations. Consequently, successful exploitation allows an adversary to read sensitive configuration files, exfiltrate proprietary business logic and data stored within DataStage jobs, modify existing workflows, or even install backdoors on the host system. This capability effectively bypasses application-level security controls, granting the attacker a foothold that can be used for lateral movement within the internal network or as a pivot point to attack other connected systems in the Kubernetes cluster hosting Cloud Pak for Data.
The exploitation of this vulnerability aligns with several tactics and techniques defined by the MITRE ATT&CK framework. Specifically, it maps to T1059 Command and Scripting Interpreter, where adversaries use system utilities like bash or PowerShell to execute commands directly on a compromised host. Furthermore, depending on how the injected command is delivered and executed, it may also relate to T1608 Install Resilient Process if the attacker attempts to establish persistence mechanisms through scheduled tasks or service modifications initiated via the injection point. The presence of authentication requirements places this in the context of Initial Access or Privilege Escalation phases depending on whether the authenticated user has limited privileges that are then escalated through command execution, or if the initial access itself is considered sufficient for significant damage due to the high privilege level of the application service account.
Mitigation strategies must address both immediate remediation and long-term architectural hardening. The primary defense involves applying the specific security patches provided by IBM for Cloud Pak for Data version 5.4.0.0, which corrects the input validation logic within the affected components to ensure that all special characters are properly escaped or rejected before command execution. In addition to patching, organizations should enforce strict least-privilege principles regarding the service accounts running DataStage processes; these accounts should not possess unnecessary administrative rights on the underlying operating system. Input validation must be implemented at multiple layers, including application-level sanitization and infrastructure-level controls such as Web Application Firewalls that can detect common command injection patterns in HTTP requests. Regular security assessments and penetration testing focused on input handling are also recommended to identify similar weaknesses across other integrated components of the data platform ecosystem.