CVE-2013-5370 in SPSS Collaboration
Summary
by MITRE
Unspecified vulnerability in IBM SPSS Collaboration and Deployment Services 4.2.1 and 5.0 through FP2 allows remote attackers to execute arbitrary code via unknown vectors, a different vulnerability than CVE-2013-4042.
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Analysis
by VulDB Data Team • 02/20/2018
The vulnerability identified as CVE-2013-5370 affects IBM SPSS Collaboration and Deployment Services versions 4.2.1 and 5.0 through FP2, representing a critical security flaw that enables remote code execution through unspecified attack vectors. This vulnerability operates independently from CVE-2013-4042, indicating a distinct threat surface within the IBM SPSS platform. The affected systems typically serve statistical analysis and data management functions within enterprise environments, making them attractive targets for adversaries seeking persistent access to sensitive analytical data and computational resources. IBM SPSS Collaboration and Deployment Services functions as a centralized platform for managing statistical analysis workflows, data processing tasks, and collaborative analytics environments across organizations, creating a substantial attack surface when compromised.
The technical nature of this vulnerability involves an unspecified weakness that allows remote attackers to execute arbitrary code on affected systems, though the specific implementation details remain undisclosed in the public CVE record. This type of vulnerability typically manifests as a memory corruption issue, input validation flaw, or authentication bypass mechanism that enables attackers to inject malicious code into the target environment. The unspecified vectors suggest that the vulnerability could stem from multiple potential attack paths including network protocol handling, web interface components, or backend processing modules within the SPSS deployment infrastructure. Given that this affects multiple versions of the software, the flaw likely resides in core components shared across these releases, potentially involving common libraries, APIs, or service frameworks that handle external communications and data processing requests.
The operational impact of CVE-2013-5370 extends beyond simple remote code execution to encompass potential full system compromise and data exfiltration capabilities. Attackers exploiting this vulnerability could gain administrative privileges, establish persistent backdoors, and access sensitive statistical datasets that often contain confidential business intelligence, research data, or personally identifiable information. The affected environment typically processes large volumes of analytical data for various business functions, making the potential data breach consequences severe for organizations relying on SPSS for their statistical analysis workflows. Organizations utilizing this platform often integrate it with other enterprise systems, databases, and analytical tools, creating cascading security risks that could propagate throughout the enterprise network when the vulnerability is successfully exploited.
Security mitigations for this vulnerability require immediate patch application from IBM, as the unspecified nature of the flaw suggests it may not have been fully characterized in the initial vulnerability disclosure. Organizations should implement network segmentation to isolate SPSS services from critical network segments, deploy intrusion detection systems to monitor for suspicious network traffic patterns, and conduct comprehensive vulnerability assessments of their SPSS installations. The remediation process should include thorough testing of patches in controlled environments before deployment to production systems, as well as monitoring for indicators of compromise that may indicate attempted exploitation of the vulnerability. Additionally, organizations should consider implementing network access controls that restrict external communication with SPSS services and establish monitoring procedures for unusual authentication patterns or data access requests that could indicate exploitation attempts.
This vulnerability aligns with attack patterns described in the ATT&CK framework under the execution and privilege escalation domains, where adversaries leverage software vulnerabilities to establish initial access and subsequently expand their control over compromised systems. The CWE classification for such vulnerabilities typically falls within the category of unspecified software flaws that enable arbitrary code execution, though the specific CWE identifier would depend on the underlying technical mechanism. Organizations should integrate this vulnerability into their broader vulnerability management processes, ensuring that similar flaws in other IBM products and third-party software components are identified and addressed through comprehensive security assessments and continuous monitoring programs. The presence of such vulnerabilities in enterprise analytics platforms underscores the importance of maintaining current security patches and implementing defense-in-depth strategies that protect critical analytical infrastructure from sophisticated threat actors.