CVE-2026-82099 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 part of the Cloud Pak for Data platform version 5.4.0.0, represents a critical security flaw rooted in the failure to properly sanitize user-supplied input before its inclusion in operating system commands. This class of defect is technically classified under Common Weakness Enumeration identifier CWE-78, which denotes Improper Neutralization of Special Elements used in an OS Command, commonly known as OS command injection. The core technical mechanism involves a scenario where the application accepts data from authenticated users and subsequently passes this data directly to underlying system utilities or shell interpreters without adequate validation, escaping, or encoding. Because the input is not rigorously checked for malicious payloads such as semicolons, pipe characters, or backticks, an attacker can manipulate these special elements to alter the intended logic of the command being executed by the operating system.
The operational impact of this vulnerability is severe due to the context in which IBM DataStage operates. As a component of Cloud Pak for Data, it typically runs with elevated privileges necessary to perform complex data integration tasks across various environments. When an authenticated attacker exploits this flaw, they can achieve arbitrary code execution on the host system or within the containerized environment where the service is deployed. This effectively bypasses application-level security controls and grants the attacker a foothold at the operating system level. From here, the adversary could potentially exfiltrate sensitive data stored in connected databases, modify configuration files to maintain persistence, pivot to other systems on the network, or disrupt critical business operations by terminating essential services. The requirement for authentication does not mitigate the risk significantly if internal users are compromised via phishing or credential theft, as the attacker already possesses valid credentials to trigger the vulnerable function.
From a threat intelligence perspective, this vulnerability aligns with MITRE ATT&CK technique T1059, specifically sub-techniques related to command and script interpreters such as Command Line Interface (T1059.004) or Unix Shell (T1059.003). Attackers leveraging this flaw would likely engage in post-exploitation activities categorized under Initial Access T1190 if the authentication bypass is combined with other vectors, but primarily it facilitates Privilege Escalation and Defense Evasion depending on the specific execution context. The ability to inject commands allows for lateral movement within the Kubernetes cluster or virtual machine infrastructure hosting Cloud Pak for Data, potentially leading to a complete compromise of the data platform's integrity and confidentiality.
Mitigation strategies must focus on both immediate remediation and long-term architectural improvements. IBM has released patches that address this specific issue in subsequent updates of Cloud Pak for Data; therefore, administrators should immediately apply the latest available service pack or fix level as recommended by vendor advisories. In addition to patching, defense-in-depth measures are essential. Input validation must be implemented at all entry points where data is passed to system commands, ensuring that only expected character sets and formats are accepted. Parameterization of OS calls should replace direct string concatenation whenever possible, although this is often challenging in legacy integration tools. Furthermore, enforcing strict least-privilege principles ensures that even if an injection occurs, the executing process lacks the permissions necessary to cause significant damage or access sensitive files. Regular security audits and static code analysis focused on CWE-78 patterns can help identify similar vulnerabilities across other components of the data platform before they are exploited in production environments.