CVE-2024-21188 in Financial Services Revenue Management and Billing
Summary
by MITRE • 07/17/2024
Vulnerability in the Oracle Financial Services Revenue Management and Billing product of Oracle Financial Services Applications (component: Chatbot). Supported versions that are affected are 6.0.0.0.0 and 6.1.0.0.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Financial Services Revenue Management and Billing. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Financial Services Revenue Management and Billing, attacks may significantly impact additional products (scope change). Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Financial Services Revenue Management and Billing accessible data as well as unauthorized read access to a subset of Oracle Financial Services Revenue Management and Billing accessible data. CVSS 3.1 Base Score 6.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N).
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Analysis
by VulDB Data Team • 03/18/2025
The vulnerability identified as CVE-2024-21188 affects Oracle Financial Services Revenue Management and Billing version 6.0.0.0.0 and 6.1.0.0.0, specifically within the Chatbot component. This represents a critical security flaw that exposes organizations to unauthorized access and potential data compromise. The vulnerability operates through HTTP network access without requiring authentication, making it particularly dangerous as it can be exploited by remote attackers without prior access credentials. The CVSS 3.1 base score of 6.1 indicates a medium severity threat with significant implications for both confidentiality and integrity of affected systems. The vulnerability's classification under CVSS vector AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N demonstrates that network-based exploitation is possible with low attack complexity, no privilege requirements, but requiring user interaction, with a scope change that can impact additional products beyond the primary target.
The technical flaw resides in the chatbot functionality of the Oracle Financial Services Revenue Management and Billing system, which fails to properly validate or authenticate incoming HTTP requests. This weakness allows attackers to inject malicious payloads or manipulate the chatbot interface to gain unauthorized access to sensitive data. The vulnerability's design allows for unauthorized update, insert, or delete operations against specific data sets within the system, while also enabling unauthorized read access to subsets of accessible information. The requirement for human interaction suggests that attackers must rely on social engineering tactics or trick users into performing specific actions that trigger the vulnerability. This aspect of the flaw aligns with ATT&CK technique T1566, which covers social engineering methods that manipulate individuals into performing actions that compromise security. The scope change component indicates that successful exploitation can potentially impact additional Oracle Financial Services products within the same ecosystem, creating cascading security risks that extend beyond the immediate target system.
The operational impact of this vulnerability presents significant risks to financial services organizations that rely on Oracle Financial Services Revenue Management and Billing for revenue processing and billing operations. Unauthorized data access could lead to financial data manipulation, potentially affecting billing accuracy, revenue reporting, and customer account integrity. The confidentiality and integrity impacts combined suggest that attackers could modify billing records, alter customer information, or access sensitive financial data that could be used for fraudulent activities. Organizations may face regulatory compliance challenges if customer data is compromised, as financial services environments typically operate under strict data protection requirements. The vulnerability's potential to affect additional products through scope change means that a successful attack on the chatbot component could provide attackers with access to other interconnected systems within the Oracle Financial Services suite, creating opportunities for lateral movement and extended compromise. This aligns with CWE-284, which addresses improper access control issues in software systems.
Organizations should implement immediate mitigations including network segmentation to restrict access to the affected Oracle Financial Services applications, deployment of web application firewalls to monitor and filter HTTP requests, and application-level authentication controls to prevent unauthorized access to the chatbot functionality. Regular security assessments and vulnerability scanning should be conducted to identify similar weaknesses in other Oracle Financial Services components. The implementation of principle of least privilege should be enforced to limit access to critical data and functionality. Additionally, security awareness training should be provided to staff to recognize potential social engineering attempts that could exploit this vulnerability. Organizations should also consider disabling or removing the chatbot component if it is not essential for operations, or ensure that it is properly configured with additional authentication mechanisms. The vulnerability's characteristics suggest that patch management processes should be prioritized to ensure timely deployment of Oracle security patches and updates. Monitoring for suspicious network activity related to HTTP requests to the affected system should be implemented as part of ongoing security operations, with alerts configured for potential exploitation attempts.