CVE-2006-5345 in Database Server
Summary
by MITRE
Unspecified vulnerability in Oracle Spatial component in Oracle Database 9.0.1.5, 9.2.0.7, and 10.1.0.4 has unknown impact and remote authenticated attack vectors related to mdsys.sdo_geom, aka Vuln# DB22. NOTE: as of 20061023, Oracle has not disputed reports from reliable third parties that DB22 is related to "length checking" in the RELATE function before MD2.RELATE is called.
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Analysis
by VulDB Data Team • 04/24/2026
The vulnerability identified as CVE-2006-5345 represents a critical security flaw within Oracle Database's Spatial component, specifically affecting versions 9.0.1.5, 9.2.0.7, and 10.1.0.4. This issue resides within the mdsys.sdo_geom package structure and operates under the broader classification of database spatial functionality vulnerabilities. The vulnerability's designation as "unspecified" in the initial description indicates that Oracle had not yet fully characterized the scope of the flaw when it was first reported, though subsequent analysis by third parties provided crucial insights into its nature and potential impact. The vulnerability has been internally referenced as DB22, highlighting its significance within Oracle's internal vulnerability tracking systems.
The technical core of this vulnerability lies in improper length checking mechanisms within the RELATE function that precedes MD2.RELATE execution. This flaw falls under the CWE-129 weakness category, which encompasses issues related to insufficient validation of length or count parameters that can lead to buffer overflows or other memory corruption vulnerabilities. The vulnerability specifically affects the geometric relationship operations within Oracle's spatial database capabilities, where the RELATE function is used to determine spatial relationships between geometric objects. When the length checking mechanism fails to properly validate input parameters, it creates opportunities for malicious actors to exploit the system through carefully crafted geometric data inputs that could cause unexpected behavior in the underlying database operations.
The operational impact of this vulnerability extends beyond simple database corruption or denial of service scenarios. Attackers with authenticated access to the database system could potentially leverage this flaw to execute arbitrary code within the database environment, leading to complete system compromise. The remote authenticated attack vector means that malicious actors do not need physical access to the system but can exploit the vulnerability through legitimate database connections, making the attack surface significantly broader. This vulnerability directly relates to the ATT&CK technique T1059.006, which involves executing commands through database shells, as attackers could manipulate the spatial functions to gain unauthorized access to database resources. The implications are particularly severe given that Oracle Spatial is commonly used in enterprise environments for geographic information systems and spatial data management, making the potential impact on critical infrastructure substantial.
The mitigation strategies for this vulnerability require immediate attention from database administrators and security teams. Oracle's recommended approach involves applying the appropriate security patches and updates that address the specific length checking issues within the RELATE function implementation. Organizations should also implement network segmentation and access controls to limit database access to only authorized personnel, thereby reducing the attack surface. Additionally, monitoring and logging of spatial function calls should be enhanced to detect anomalous usage patterns that might indicate exploitation attempts. The vulnerability's classification as a remote authenticated attack vector necessitates strong authentication mechanisms and regular credential rotation practices. Security teams should also consider implementing database activity monitoring solutions that can detect unusual spatial data processing operations that might indicate exploitation of the length checking vulnerability. Given the nature of the flaw, regular security assessments of spatial database components should be conducted to identify similar vulnerabilities in other database functions that might present comparable risks to the organization's overall security posture.