CVE-2018-2660 in Financial Services Analytical Applications Infrastructure
Summary
by MITRE
Vulnerability in the Oracle Financial Services Analytical Applications Infrastructure component of Oracle Financial Services Applications (subcomponent: Core). Supported versions that are affected are 7.3.5.x and 8.0.x. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Financial Services Analytical Applications Infrastructure. While the vulnerability is in Oracle Financial Services Analytical Applications Infrastructure, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Financial Services Analytical Applications Infrastructure accessible data as well as unauthorized read access to a subset of Oracle Financial Services Analytical Applications Infrastructure accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Financial Services Analytical Applications Infrastructure. CVSS 3.0 Base Score 7.4 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:L).
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Analysis
by VulDB Data Team • 01/30/2021
The vulnerability identified as CVE-2018-2660 resides within the Oracle Financial Services Analytical Applications Infrastructure component, specifically affecting versions 7.3.5.x and 8.0.x of the Oracle Financial Services Applications suite. This represents a critical security flaw that operates at the core infrastructure level of financial analytical applications, making it particularly dangerous for organizations relying on these systems for sensitive financial data processing and analysis. The vulnerability's classification as easily exploitable indicates that malicious actors with minimal privileges and network access can leverage this weakness to compromise the targeted system.
The technical flaw manifests through the Oracle Financial Services Analytical Applications Infrastructure's handling of HTTP requests, creating an attack surface that allows low privileged users with network connectivity to execute unauthorized operations against the system. This vulnerability operates under CWE-284 Access Control, specifically targeting inadequate access controls within the application infrastructure. The attack vector requires only network access via HTTP, making it particularly dangerous as it can be exploited from external networks without requiring physical access or elevated privileges. The system's failure to properly validate or restrict access to sensitive operations creates multiple attack paths that can lead to data manipulation and unauthorized access.
The operational impact of this vulnerability extends beyond the immediate infrastructure component, as attacks can significantly affect additional products within the Oracle Financial Services Applications ecosystem. Successful exploitation enables attackers to perform unauthorized update, insert, or delete operations against sensitive data within the infrastructure, while also granting unauthorized read access to portions of the system's data. The partial denial of service capability further compounds the damage potential, as attackers can disrupt system availability for specific functions or data sets. This multi-faceted impact aligns with the CVSS 3.0 base score of 7.4, reflecting the combination of confidentiality, integrity, and availability risks. The vulnerability's potential to cause partial DOS operations specifically relates to the ATT&CK technique T1499.004, which involves network disruption through partial denial of service attacks.
Organizations must implement comprehensive mitigation strategies to address this vulnerability, including immediate patching of affected systems to the latest supported versions. Network segmentation and access control measures should be enhanced to limit exposure of the vulnerable infrastructure to untrusted networks. Regular security assessments and monitoring of HTTP traffic patterns can help detect anomalous access attempts that may indicate exploitation attempts. The vulnerability's classification under CVSS vector AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:L/A:L indicates that while the attack requires low privilege access, the scope of impact is considered constrained, yet the potential for significant data compromise remains high. Security teams should also consider implementing additional monitoring for unauthorized data access patterns and establish incident response procedures specifically tailored to address financial services application vulnerabilities.