CVE-2020-2939 in Financial Services Asset Liability Management
Summary
by MITRE
Vulnerability in the Oracle Financial Services Asset Liability Management product of Oracle Financial Services Applications (component: User Interface). Supported versions that are affected are 8.0.6 and 8.0.7. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Financial Services Asset Liability Management. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Financial Services Asset Liability Management accessible data as well as unauthorized read access to a subset of Oracle Financial Services Asset Liability Management accessible data. CVSS 3.0 Base Score 7.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:H/A:N).
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Analysis
by VulDB Data Team • 05/21/2024
The vulnerability identified as CVE-2020-2939 resides within Oracle Financial Services Asset Liability Management (ALM), a critical component of Oracle Financial Services Applications designed for managing financial risk and asset liability optimization. This specific flaw manifests in the user interface component of ALM version 8.0.6 and 8.0.7, representing a significant security weakness that affects organizations managing complex financial portfolios and risk assessments. The vulnerability's classification as easily exploitable indicates that attackers require minimal technical expertise and can leverage standard network-based attack vectors to compromise the system.
The technical nature of this vulnerability stems from insufficient authorization controls within the ALM user interface, allowing low privileged attackers to perform unauthorized operations against the financial data management system. The CVSS 3.0 scoring of 7.1 reflects the severity of impact with a base score that considers both confidentiality and integrity implications, where the attack vector requires network access via HTTP protocols and the attacker only needs low privileges to exploit the weakness. The vulnerability's characteristics align with CWE-284 (Improper Access Control) and can be mapped to ATT&CK technique T1078 (Valid Accounts) as attackers would likely leverage compromised credentials or exploit the vulnerability to gain unauthorized access to sensitive financial data.
The operational impact of this vulnerability extends beyond simple data compromise, as successful exploitation enables attackers to create, delete, or modify critical financial data within the ALM system. This unauthorized modification capability poses significant risks to financial reporting accuracy, regulatory compliance, and business continuity, particularly in environments where real-time asset liability management decisions depend on accurate data integrity. The potential for unauthorized read access to subsets of accessible data further amplifies the risk, as attackers could gather sensitive financial information for competitive advantage or further exploitation. Organizations using ALM 8.0.6 and 8.0.7 face substantial exposure to financial data breaches, operational disruption, and regulatory penalties if this vulnerability remains unaddressed.
Mitigation strategies for CVE-2020-2939 should prioritize immediate patch management through Oracle's security updates, as the vulnerability affects specific supported versions that require targeted remediation. Network segmentation and access controls should be implemented to limit HTTP access to the ALM system, while enhanced monitoring of user interface activities can help detect unauthorized access attempts. Organizations should conduct comprehensive vulnerability assessments to identify all instances of affected ALM versions and implement additional authentication controls such as multi-factor authentication to reduce the attack surface. Regular security audits and penetration testing of financial applications should be conducted to identify similar access control weaknesses that could compromise sensitive financial data in other critical business applications.