CVE-2015-7448 in Maximo Asset Management
Summary
by MITRE
SQL injection vulnerability in IBM Maximo Asset Management 7.1 through 7.1.1.13, 7.5.0 before 7.5.0.9 IFIX003, and 7.6.0 before 7.6.0.3 IFIX001; Maximo Asset Management 7.5.0 before 7.5.0.9 IFIX003, 7.5.1, and 7.6.0 before 7.6.0.3 IFIX001 for SmartCloud Control Desk; and Maximo Asset Management 7.1 through 7.1.1.13 and 7.2 for Tivoli IT Asset Management for IT and certain other products allows remote authenticated users to execute arbitrary SQL commands via unspecified vectors.
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Analysis
by VulDB Data Team • 02/02/2019
This sql injection vulnerability exists within IBM Maximo Asset Management versions ranging from 7.1 through 7.1.1.13 up to 7.6.0.3 IFIX001 and affects multiple product lines including SmartCloud Control Desk and Tivoli IT Asset Management for IT. The flaw permits remote authenticated attackers to execute arbitrary sql commands through unspecified vectors that bypass normal input validation mechanisms. The vulnerability represents a critical security weakness in the application's database interaction layer where user-supplied input is not properly sanitized before being incorporated into sql queries. This allows attackers who have legitimate authentication credentials to escalate their privileges and potentially gain unauthorized access to sensitive organizational data.
The technical implementation of this vulnerability stems from inadequate input validation and sanitization practices within the application's backend sql query construction processes. When authenticated users submit data through various application interfaces, the system fails to properly escape or parameterize sql metacharacters that could alter the intended sql query structure. This weakness enables attackers to inject malicious sql payloads that execute with the privileges of the authenticated user account, potentially leading to data exfiltration, data modification, or even complete database compromise. The vulnerability affects multiple versions across different product lines, indicating a systemic issue in the application's sql handling mechanisms that was not properly addressed through the affected version releases.
The operational impact of this vulnerability extends beyond simple data theft to encompass potential system compromise and business disruption. Attackers could leverage this weakness to extract confidential asset management data, modify critical maintenance schedules, or manipulate inventory records that directly impact operational efficiency. The remote execution capability means that attackers do not require physical access to the system, making the vulnerability particularly dangerous in enterprise environments where network exposure is common. Organizations using these affected versions face significant risk of unauthorized data access, regulatory compliance violations, and potential financial losses due to operational disruption. The vulnerability also creates opportunities for attackers to establish persistent access patterns that could go undetected for extended periods.
Organizations should immediately apply the available patches and ifixes for their specific product versions to remediate this vulnerability. The affected versions include specific release numbers where patches are available, particularly the IFIX003 for 7.5.0 and IFIX001 for 7.6.0. Additionally, implementing network segmentation and monitoring solutions can help detect anomalous sql query patterns that might indicate exploitation attempts. Security teams should conduct comprehensive vulnerability assessments across all affected product lines and consider implementing web application firewalls to provide additional protection layers. Regular security testing and code reviews focusing on sql injection prevention techniques should become standard practice to prevent similar vulnerabilities from emerging in future releases. This vulnerability aligns with CWE-89 sql injection and represents a common attack pattern that appears in the ATT&CK framework under the execution and privilege escalation categories, emphasizing the need for robust input validation and proper sql query construction practices across all enterprise applications.