CVE-2013-3573 in Insight Diagnostics
Summary
by MITRE
HP Insight Diagnostics 9.4.0.4710 allows remote attackers to conduct unspecified injection attacks via unknown vectors.
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Analysis
by VulDB Data Team • 08/14/2024
The vulnerability identified as CVE-2013-3573 affects HP Insight Diagnostics version 9.4.0.4710, representing a critical security flaw that enables remote attackers to execute unspecified injection attacks against the system. This vulnerability resides within HP's server management and monitoring software, which is designed to provide comprehensive diagnostics and health monitoring capabilities for enterprise server environments. The affected product serves as a crucial component in data center operations, managing hardware health checks, performance monitoring, and system diagnostics across multiple server platforms. The unspecified nature of the injection vectors suggests that the vulnerability could potentially manifest through various attack pathways, making it particularly concerning for security professionals who must account for multiple potential exploitation techniques.
The technical flaw underlying CVE-2013-3573 appears to stem from inadequate input validation mechanisms within the HP Insight Diagnostics application. This weakness creates opportunities for attackers to inject malicious code or commands that can be executed within the context of the vulnerable system. The vulnerability likely exists in how the application processes user-supplied data or API inputs, failing to properly sanitize or validate parameters before processing them. Such injection vulnerabilities typically fall under the CWE classification of injection flaws, specifically encompassing issues where untrusted data is passed to an interpreter as part of a command or query. The attack surface extends to any component of the system that accepts external input, including web interfaces, API endpoints, or network protocols used for communication with the diagnostics software.
The operational impact of this vulnerability is significant for enterprise environments that rely on HP Insight Diagnostics for their server management infrastructure. Remote attackers who successfully exploit this vulnerability could gain unauthorized access to critical system functions, potentially leading to complete system compromise, data exfiltration, or disruption of server operations. The implications extend beyond simple unauthorized access, as the vulnerability could enable attackers to manipulate system configurations, escalate privileges, or use the compromised system as a pivot point for attacking other components within the network infrastructure. Organizations using this software in production environments face the risk of unauthorized modification of server health data, which could mask actual system issues or provide false security assurances. The vulnerability's remote exploitability means that attackers do not require physical access to the systems, making it particularly dangerous for organizations with distributed server environments or those that expose management interfaces to external networks.
Security mitigations for CVE-2013-3573 should prioritize immediate patching of affected systems with the latest HP security updates and patches. Organizations should implement network segmentation to limit access to HP Insight Diagnostics interfaces, restricting access to trusted administrative networks only. Additional protective measures include deploying web application firewalls to monitor and filter suspicious traffic patterns, implementing strict input validation controls, and conducting regular security assessments of the management interfaces. The vulnerability aligns with several ATT&CK techniques including command and control through remote access, privilege escalation via system manipulation, and defense evasion through data manipulation. Network administrators should also consider disabling unnecessary services and ports related to the diagnostics software, particularly those exposed to untrusted networks. Regular monitoring of system logs and network traffic for anomalous patterns can help detect potential exploitation attempts, while maintaining up-to-date inventory records ensures comprehensive coverage of all affected systems within the enterprise infrastructure.