CVE-2020-14603 in Financial Services Analytical Applications Infrastructure
Summary
by MITRE
Vulnerability in the Oracle Financial Services Analytical Applications Infrastructure product of Oracle Financial Services Applications (component: Infrastructure). Supported versions that are affected are 8.0.6-8.1.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Financial Services Analytical Applications Infrastructure. Successful attacks of this vulnerability can result in unauthorized read access to a subset of Oracle Financial Services Analytical Applications Infrastructure accessible data. CVSS 3.1 Base Score 5.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N).
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Analysis
by VulDB Data Team • 11/01/2020
The vulnerability identified as CVE-2020-14603 affects the Oracle Financial Services Analytical Applications Infrastructure component within Oracle Financial Services Applications. This particular flaw exists in versions 8.0.6 through 8.1.0 of the software, representing a significant security weakness that impacts the financial services sector's analytical infrastructure. The vulnerability resides within the infrastructure layer that supports analytical applications, making it a critical component for threat actors to target in order to gain unauthorized access to sensitive financial data. The affected system operates within the financial services domain where data integrity and confidentiality are paramount to regulatory compliance and business operations.
This vulnerability represents a misconfiguration or access control flaw that allows unauthenticated attackers to exploit the system through HTTP network connections. The technical nature of this weakness enables attackers to bypass authentication mechanisms entirely, which aligns with CWE-287 - Improper Authentication, and potentially CWE-306 - Missing Authentication for Critical Function. The vulnerability's classification as easily exploitable indicates that the attack vector requires minimal technical skill or resources to execute successfully. The CVSS 3.1 score of 5.3 reflects the low complexity and high impact potential, with the confidentiality impact being the primary concern. The attack vector AV:N (Adjacent Network) suggests that the vulnerability can be exploited from a network location that allows access to the affected system's HTTP ports.
The operational impact of this vulnerability extends beyond simple data theft, as it compromises the integrity of the financial services analytical environment. Successful exploitation enables unauthorized read access to a subset of accessible data, which could include sensitive financial information, transaction records, or analytical reports that are critical to business operations. This access could potentially lead to financial fraud, regulatory violations, or competitive disadvantages for organizations relying on these analytical applications. The vulnerability affects the confidentiality aspect of the CIA triad, as it allows data disclosure without requiring any privileges or authentication credentials from the attacker. Organizations using this infrastructure may face compliance challenges with financial regulations such as SOX, PCI DSS, or banking regulations that mandate strict access controls and data protection measures.
Organizations should implement immediate mitigations including network segmentation to restrict access to the affected infrastructure, deployment of web application firewalls to monitor and filter HTTP traffic, and mandatory authentication requirements for all system access points. The recommended approach involves patching the software to versions that address this vulnerability, as well as implementing proper access controls and monitoring mechanisms. Security teams should conduct thorough network scans to identify all instances of the affected software and ensure that HTTP access is properly restricted to authorized personnel only. The vulnerability's characteristics align with ATT&CK technique T1190 - Exploit Public-Facing Application, which involves targeting applications accessible from outside the network perimeter. Organizations should also consider implementing intrusion detection systems to monitor for unusual HTTP traffic patterns that might indicate exploitation attempts, while maintaining detailed audit logs for forensic analysis and compliance reporting purposes.