CVE-2018-2724 in Financial Services Loan Loss Forecasting
Summary
by MITRE
Vulnerability in the Oracle Financial Services Loan Loss Forecasting and Provisioning component of Oracle Financial Services Applications (subcomponent: User Interface). The supported version that is affected is 8.0.x. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Financial Services Loan Loss Forecasting and Provisioning. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Financial Services Loan Loss Forecasting and Provisioning accessible data as well as unauthorized access to critical data or complete access to all Oracle Financial Services Loan Loss Forecasting and Provisioning accessible data. CVSS 3.0 Base Score 8.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N).
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Analysis
by VulDB Data Team • 01/30/2021
The vulnerability identified as CVE-2018-2724 resides within the Oracle Financial Services Loan Loss Forecasting and Provisioning component of Oracle Financial Services Applications, specifically affecting the User Interface subcomponent in version 8.0.x. This represents a critical security flaw that demonstrates the inherent risks present in financial services software where data integrity and confidentiality are paramount. The vulnerability's classification as easily exploitable indicates that attackers with minimal privileges and network access can leverage this weakness to gain significant control over sensitive financial data systems. The attack vector through HTTP access points makes this vulnerability particularly dangerous as it can be exploited from external networks without requiring physical access to the organization's infrastructure.
The technical nature of this vulnerability allows a low privileged attacker to perform unauthorized operations including creation, deletion, and modification of critical data within the targeted system. This flaw operates at the interface level where user interactions are processed, making it a prime target for exploitation. The vulnerability's impact extends beyond simple data modification to encompass complete access to all accessible data within the Oracle Financial Services Loan Loss Forecasting and Provisioning environment. The CVSS 3.0 score of 8.1 reflects the high severity of this weakness, with both confidentiality and integrity impacts rated as high. The vector analysis shows AV:N (network access), AC:L (low attack complexity), PR:L (low privilege requirements), and UI:N (no user interaction needed), indicating that an attacker can exploit this vulnerability with minimal effort from a remote location.
The operational impact of this vulnerability is severe for financial institutions relying on Oracle Financial Services Applications, as it could lead to complete data compromise and manipulation of critical loan loss forecasting and provisioning data. Such manipulation could result in significant financial losses, regulatory violations, and reputational damage for affected organizations. The vulnerability's potential for unauthorized data access means that sensitive financial information could be exposed to malicious actors, while the modification capabilities could alter forecasting models that directly impact financial decision-making processes. Organizations using this software version face substantial risk of data breaches that could affect regulatory compliance requirements and financial reporting accuracy. The lack of user interaction requirements makes this vulnerability particularly concerning as it can be exploited automatically without detection, potentially allowing attackers to maintain persistent access to financial data systems.
Mitigation strategies for CVE-2018-2724 should include immediate application of Oracle's security patches and updates to address the identified vulnerability in the Oracle Financial Services Applications. Network segmentation and access controls should be implemented to limit exposure of the affected system to untrusted networks, while monitoring and logging mechanisms should be enhanced to detect unauthorized access attempts. Organizations should conduct thorough vulnerability assessments to identify any additional systems that may be running the affected software version and ensure proper patch management procedures are in place. The vulnerability aligns with CWE-284 (Improper Access Control) and represents a significant risk under the ATT&CK framework's privilege escalation and data access tactics. Regular security assessments and penetration testing should be performed to identify similar weaknesses in financial applications and ensure comprehensive protection of critical financial data assets.