CVE-2025-14754 in Cloud Pak for Data
Summary
by MITRE • 09/18/2026
IBM Cloud Pak for Data 5.1.2 could allow an authenticated user to execute arbitrary commands with elevated privileges on the system due to improper validation of user supplied input.
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Analysis
by VulDB Data Team • 09/18/2026
The vulnerability identified in IBM Cloud Pak for Data version 5.1.2 represents a critical security flaw stemming from insufficient validation mechanisms within the application's input processing logic. This specific weakness allows an authenticated attacker, who possesses valid credentials and access to the platform, to inject malicious commands that are subsequently executed by the system with elevated privileges. The core of this issue lies in the failure to properly sanitize or validate user-supplied data before it is passed to underlying operating system commands or internal execution engines. In complex enterprise environments like Cloud Pak for Data, where multiple services interact through various interfaces and APIs, such a flaw can be exploited by manipulating parameters that are intended for legitimate administrative functions but are instead repurposed to trigger arbitrary code execution on the host infrastructure.
From a technical perspective, this vulnerability aligns with CWE-78, which describes Improper Neutralization of Special Elements used in an OS Command, commonly known as OS Command Injection. The attacker leverages their authenticated status to bypass initial access controls and then exploits the lack of rigorous input validation to construct malicious payloads. These payloads are designed to escape the intended context of the application command and interact directly with the host operating system shell. Because the execution occurs within a privileged context, often associated with service accounts or container runtime environments that have broader permissions than standard user processes, the impact is significantly amplified. The attacker gains the ability to read sensitive configuration files, modify database contents, install additional malware, or use the compromised node as a pivot point for further lateral movement within the network.
The operational impact of this vulnerability extends beyond immediate data compromise and includes severe risks to system integrity and availability. An adversary who successfully exploits this flaw can achieve full control over the underlying Kubernetes nodes hosting the Cloud Pak for Data services. This level of access enables the exfiltration of proprietary algorithms, customer datasets, and intellectual property stored within the platform's databases. Furthermore, the attacker could disrupt critical data analytics workflows by terminating essential pods or corrupting persistent volumes. In a multi-tenant environment, this vulnerability also poses a risk to other tenants if proper isolation between namespaces is not strictly enforced at the container runtime level, potentially leading to cross-tenant attacks where one compromised tenant gains access to resources belonging to another.
Mitigation strategies for this vulnerability require both immediate remediation and long-term architectural improvements. The primary defense is to apply the official security patches provided by IBM as soon as they are available for version 5.1.2, which address the specific input validation gaps identified in the codebase. In addition to patching, organizations should enforce strict least-privilege principles across their Kubernetes clusters and Cloud Pak deployments. This involves ensuring that service accounts do not possess unnecessary elevated permissions and that network policies restrict communication between pods to only what is strictly required for functionality. Implementing Web Application Firewalls with robust rule sets can also help detect and block common command injection patterns before they reach the application layer.
To prevent recurrence, development teams must adopt secure coding practices that prioritize input validation and output encoding. This includes using parameterized queries or safe APIs instead of string concatenation when constructing system commands, ensuring that any user-supplied data is treated as untrusted until explicitly validated against a whitelist of allowed characters or formats. Regular security assessments, including static application security testing and dynamic penetration testing focused on authentication bypasses and privilege escalation vectors, are essential for maintaining the integrity of enterprise data platforms. Furthermore, continuous monitoring using tools aligned with MITRE ATT&CK techniques such as T1059 Command and Scripting Interpreter can help identify anomalous command executions that may indicate an ongoing exploitation attempt.