CVE-2022-22410 in Watson Query
Summary
by MITRE • 04/06/2022
IBM Watson Query with Cloud Pak for Data as a Service could allow an authenticated user to obtain sensitive information that would allow them to examine or alter system configurations or data sources connected to the service. IBM X-Force ID: 222763.
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Analysis
by VulDB Data Team • 04/08/2022
The vulnerability identified as CVE-2022-22410 affects IBM Watson Query within the Cloud Pak for Data as a Service environment, representing a significant information disclosure weakness that could enable authenticated attackers to access sensitive system configurations and data sources. This flaw exists within IBM's enterprise AI and data analytics platform, which is designed to provide organizations with powerful query capabilities over structured and unstructured data. The vulnerability specifically targets the authentication and authorization mechanisms that should protect system-level configurations and data source connections from unauthorized access.
The technical implementation of this vulnerability stems from inadequate access controls and information disclosure mechanisms within the Watson Query service. An authenticated user with legitimate credentials can exploit this weakness to gain access to system configurations and data source information that should remain restricted to authorized administrators or specific privileged roles. The flaw likely involves insufficient validation of user permissions when accessing system metadata or configuration files that contain sensitive information about connected data sources, database connections, or service configurations. This represents a classic privilege escalation scenario where standard authenticated access can be leveraged to obtain elevated information access that violates the principle of least privilege.
The operational impact of this vulnerability extends beyond simple data exposure, as it enables potential attackers to examine and alter system configurations that could lead to more severe security consequences. An attacker who successfully exploits this vulnerability could gain insights into the underlying data architecture, connection strings, authentication mechanisms, and system parameters that would allow them to conduct more sophisticated attacks. The ability to examine data source connections could enable lateral movement within the network or direct access to additional systems that share similar connection parameters. Furthermore, the capacity to alter system configurations could lead to service disruption, data manipulation, or the creation of backdoors within the Watson Query environment.
Organizations utilizing IBM Watson Query within Cloud Pak for Data as a Service should implement immediate mitigations to address this vulnerability, including reviewing and strengthening access controls, implementing network segmentation, and monitoring for unauthorized access attempts. The vulnerability aligns with CWE-284, which addresses inadequate access control mechanisms, and reflects patterns commonly seen in privilege escalation attacks that leverage authenticated sessions to gain unauthorized access to system resources. From an att&ck framework perspective, this vulnerability maps to techniques involving privilege escalation and credential access, potentially enabling adversaries to move laterally within the environment and access additional systems that rely on similar data source configurations. Organizations should also consider implementing additional monitoring for unusual access patterns to system configuration files and data source information, as these access patterns may indicate exploitation attempts. The vulnerability underscores the importance of maintaining robust access control policies and regularly reviewing system configurations to ensure that sensitive information remains properly protected from unauthorized access.