CVE-2018-1282 in Business Intelligence Enterprise Edition
Summary
by MITRE
This vulnerability in Apache Hive JDBC driver 0.7.1 to 2.3.2 allows carefully crafted arguments to be used to bypass the argument escaping/cleanup that JDBC driver does in PreparedStatement implementation.
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Analysis
by VulDB Data Team • 08/13/2023
The vulnerability identified as CVE-2018-1282 represents a critical security flaw in the Apache Hive JDBC driver affecting versions 0.7.1 through 2.3.2. This issue stems from inadequate input validation and argument escaping mechanisms within the PreparedStatement implementation, creating a pathway for malicious actors to circumvent security controls designed to prevent unauthorized database access. The vulnerability specifically targets the JDBC driver's handling of prepared statements where user-supplied parameters should be properly sanitized and escaped to prevent injection attacks.
The technical flaw manifests when the JDBC driver processes prepared statements containing user input that has not been adequately escaped or sanitized. In normal operation, the driver should automatically escape special characters and validate parameters to prevent SQL injection attacks. However, in affected versions, attackers can craft carefully constructed arguments that bypass these protective mechanisms, allowing arbitrary SQL commands to be executed within the database context. This weakness operates at the interface level between application code and the database system, making it particularly dangerous as it can be exploited through standard JDBC connectivity methods.
The operational impact of CVE-2018-1282 extends beyond simple data theft or modification, as it can enable full database compromise and potentially lateral movement within network environments. Attackers exploiting this vulnerability can execute arbitrary SQL commands, access unauthorized data, modify database contents, and potentially escalate privileges within the database system. The vulnerability affects organizations using Apache Hive in production environments where JDBC connections are established, particularly those with insufficient input validation at application layers. The impact is amplified in environments where Hive serves as a data warehouse or analytics platform, as these systems often contain sensitive business data and may be integrated with other enterprise systems.
Organizations should immediately upgrade to Apache Hive versions 2.3.3 or later where this vulnerability has been addressed through improved input validation and argument escaping mechanisms. Security teams should also implement network segmentation and access controls to limit exposure, while monitoring for suspicious database activity patterns that might indicate exploitation attempts. The vulnerability aligns with CWE-77 and CWE-89 categories related to command injection and SQL injection, and could be mapped to ATT&CK techniques such as T1071.004 for application layer protocol tunneling and T1190 for exploitation of remote services. Additionally, implementing proper input validation at the application level and utilizing parameterized queries with proper escaping mechanisms can serve as effective compensating controls while waiting for official patches to be deployed across all systems.