CVE-2017-9794 in Geode
Summary
by MITRE
When a cluster is operating in secure mode, a user with read privileges for specific data regions can use the gfsh command line utility to execute queries. In Apache Geode before 1.2.1, the query results may contain data from another user's concurrently executing gfsh query, potentially revealing data that the user is not authorized to view.
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Analysis
by VulDB Data Team • 11/21/2019
Apache Geode represents a distributed data management system that operates in secure mode to protect sensitive data through access controls and authorization mechanisms. When clusters function in secure mode, they enforce strict permissions that limit user access to specific data regions based on their privileges. The gfsh command line utility serves as the primary administrative interface for managing Geode clusters, enabling users to execute queries against data regions. However, a critical flaw exists in the system's query execution and result processing mechanisms that undermines the security model. This vulnerability manifests when users with read privileges for specific data regions attempt to execute queries through gfsh, creating a scenario where concurrent query execution leads to unauthorized data exposure.
The technical flaw stems from improper isolation between concurrent query executions within the same cluster session. When multiple gfsh queries run simultaneously, the system fails to properly separate the result sets from different users' queries, causing data from one user's query to inadvertently appear in another user's results. This occurs due to shared memory references or improper result set handling in the query execution engine. The vulnerability specifically affects Apache Geode versions prior to 1.2.1, where the security boundary between concurrent queries was not properly enforced. The flaw operates at the application level within the query processing subsystem, allowing privilege escalation through data leakage rather than direct access bypass. This represents a violation of the principle of least privilege and data separation that security-conscious systems must maintain.
The operational impact of this vulnerability extends beyond simple information disclosure, as it fundamentally compromises the integrity of the authorization model. An attacker with read access to one data region could potentially gather information about data accessible to other users, effectively enabling passive reconnaissance and data mining. The vulnerability affects both single and multi-user environments where concurrent query execution is common, making it particularly dangerous in production systems where multiple administrators or applications interact with the same cluster. The exposure occurs during the result processing phase rather than during the query execution itself, making it difficult to detect through standard monitoring mechanisms. This issue particularly affects systems that rely on Geode for mission-critical data management and require strict data isolation between different user groups.
Mitigation strategies must address both the immediate security concern and the underlying architectural flaw in concurrent query handling. The primary recommendation involves upgrading to Apache Geode version 1.2.1 or later, which includes proper isolation mechanisms for concurrent query results. Organizations should also implement additional monitoring for concurrent query execution patterns and establish audit trails for gfsh operations. Network segmentation and access controls should be enhanced to limit direct access to the gfsh utility where possible. Security teams should conduct comprehensive testing to verify that the fix properly isolates query results and that no residual data leakage occurs. The vulnerability aligns with CWE-284 Access Control Issues, specifically addressing improper access control in concurrent operations. From an ATT&CK perspective, this represents a privilege escalation technique through data exposure, falling under the T1005 Data from Local System category with potential for T1069 Permission Groups and T1083 File and Directory Discovery through information gathering. Organizations should also consider implementing additional data loss prevention controls and regular security assessments to identify similar issues in other distributed systems.