CVE-2006-0329 in HITSENSER Data Mart Server
Summary
by MITRE
SQL injection vulnerability in HITSENSER Data Mart Server BS, BS-S, BS-M, BS-L, and EX allows remote attackers to execute arbitrary SQL commands via unknown attack vectors.
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Analysis
by VulDB Data Team • 04/25/2019
The CVE-2006-0329 vulnerability represents a critical sql injection flaw discovered in the HITSENSER Data Mart Server product line including models BS, BS-S, BS-M, BS-L, and EX. This vulnerability exists within the database interaction mechanisms of these industrial monitoring and data management systems, which are commonly deployed in enterprise environments for collecting and analyzing sensor data from various industrial processes. The affected systems are designed to handle large volumes of operational data from sensors and monitoring devices, making them attractive targets for attackers seeking to compromise industrial control systems.
The technical flaw manifests as an insufficient input validation mechanism within the server's database query processing components. Attackers can exploit this weakness through unspecified attack vectors that allow them to inject malicious sql commands into the system's database interface. The vulnerability occurs when user-supplied input is directly incorporated into sql queries without proper sanitization or parameterization, creating an environment where arbitrary sql commands can be executed with the privileges of the database user account. This type of vulnerability falls under the common weakness enumeration category CWE-89, which specifically addresses sql injection flaws in software applications.
The operational impact of this vulnerability is severe and multifaceted for organizations relying on HITSENSER Data Mart Server systems. Remote attackers can potentially gain unauthorized access to sensitive operational data, manipulate database contents, extract confidential information, or even escalate privileges to gain full system control. In industrial environments where these systems monitor critical infrastructure, such as manufacturing processes, energy distribution, or environmental monitoring, the consequences could extend beyond simple data compromise to include operational disruption, safety hazards, or financial losses. The vulnerability's remote exploitability means attackers do not require physical access to the system, making it particularly dangerous for network-connected industrial environments.
Organizations affected by this vulnerability should implement immediate mitigations including applying vendor patches if available, implementing network segmentation to limit access to these systems, and deploying database firewalls or intrusion detection systems to monitor for sql injection attempts. The remediation process should involve comprehensive input validation across all database interaction points, implementing proper parameterized queries, and conducting thorough security testing of the affected systems. Additionally, organizations should consider adopting the principle of least privilege for database accounts and implementing regular security audits of industrial control systems. From an att&ck framework perspective, this vulnerability maps to techniques involving command and control through database exploitation and credential access through privilege escalation, making it a significant concern for industrial cybersecurity programs that follow established security frameworks and threat modeling approaches.