CVE-2026-82092 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 obtain sensitive information due to an absolute-path traversal vulnerability.
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Analysis
by VulDB Data Team • 09/11/2026
The identified security flaw resides within IBM DataStage, specifically in the version packaged with Cloud Pak for Data 5.4.0.0, and represents a critical risk vector for environments relying on this data integration platform. The core of the issue is an absolute-path traversal vulnerability that permits a remote authenticated attacker to access sensitive information beyond the intended application scope. This type of flaw typically arises when software constructs file paths using user-supplied input without adequately sanitizing or validating those inputs against expected directory structures. In the context of IBM DataStage, which handles complex data workflows and integrates with various enterprise systems, such a vulnerability allows an attacker to manipulate path resolution mechanisms to read files located outside the designated web root or application directories. This capability effectively bypasses standard access controls that rely on relative pathing or sandboxed execution environments, granting the adversary direct file system access based solely on their ability to authenticate and submit crafted requests.
From a technical perspective, absolute-path traversal vulnerabilities are classified under CWE-22: Improper Limitation of a Pathname to a Restricted Directory within the Common Weakness Enumeration framework. This classification highlights the failure of the application to properly restrict user-controlled input from influencing file system operations in an unsafe manner. When an attacker exploits this flaw, they can potentially read configuration files containing database credentials, API keys, or other secrets stored on the server filesystem. They may also access log files that contain sensitive operational data or even source code if deployed improperly. The severity of this vulnerability is compounded by the fact that it requires authentication, meaning the threat actor must first compromise valid user credentials to initiate the attack chain. However, given the high value of authenticated sessions in enterprise environments and the potential for credential theft through other vectors such as phishing or brute-force attacks, the practical risk remains significant.
The operational impact of this vulnerability extends beyond simple data leakage. If an attacker successfully retrieves sensitive configuration files, they gain insights into the underlying infrastructure architecture, including database connection strings, internal service endpoints, and security policies. This intelligence can be leveraged to plan further lateral movement within the network or to craft more targeted attacks against other components in the Cloud Pak for Data ecosystem. Furthermore, depending on how the vulnerable component interacts with the operating system, there may be secondary risks associated with reading files that are currently locked by other processes, potentially causing denial of service conditions through file locking conflicts. The exposure of sensitive information undermines the confidentiality pillar of the CIA triad and can lead to regulatory non-compliance if protected data such as personally identifiable information or financial records is exposed.
To mitigate this risk, organizations running IBM DataStage on Cloud Pak for Data 5.4.0.0 should prioritize applying vendor-provided patches that address the path validation logic immediately upon release. In the interim, network-level controls can provide a layer of defense by restricting access to the affected application endpoints only from trusted IP ranges and enforcing strict multi-factor authentication to reduce the likelihood of credential compromise. Additionally, implementing web application firewalls with rules specifically designed to detect and block directory traversal patterns in HTTP requests can help mitigate exploitation attempts before they reach the application logic. It is also advisable to review file system permissions on the underlying server to ensure that even if an attacker gains access via this vulnerability, their ability to read critical system files is limited by operating-level security policies. Regular auditing of authentication logs and monitoring for unusual file access patterns can aid in early detection of exploitation attempts aligned with ATT&CK techniques related to Collection and Exfiltration over alternative protocols or local file access.