CVE-2020-14684 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 require human interaction from a person other than the attacker. 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. CVSS 3.1 Base Score 4.3 (Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:N).
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Analysis
by VulDB Data Team • 11/01/2020
The vulnerability identified as CVE-2020-14684 resides within the Oracle Financial Services Analytical Applications Infrastructure component of Oracle Financial Services Applications, specifically affecting versions 8.0.6 through 8.1.0. This represents a significant security weakness that impacts the integrity of financial data processing systems. The vulnerability operates at the infrastructure level, meaning it affects the foundational components that support analytical applications used in financial services environments where data accuracy and integrity are paramount for regulatory compliance and business operations.
The technical flaw manifests as an easily exploitable vulnerability that allows unauthenticated attackers to gain network access through HTTP protocols without requiring any authentication credentials. This weakness creates a direct pathway for malicious actors to compromise the targeted infrastructure. The CVSS 3.1 scoring system rates this vulnerability with a base score of 4.3, indicating a moderate severity level, with the integrity impact component receiving the highest weight at level 4.3. The attack vector is classified as network-based (AV:N) with low complexity (AC:L) and no privilege requirements (PR:N), making it particularly dangerous as it can be exploited remotely without requiring prior access or elevated privileges.
The operational impact of this vulnerability extends beyond simple data integrity concerns, as successful exploitation can result in unauthorized update, insert, or delete operations against sensitive financial data within the Oracle Financial Services Analytical Applications Infrastructure. This means that malicious actors could potentially alter financial records, manipulate analytical reports, or corrupt data sets that are critical for decision-making processes. The requirement for human interaction (UI:R) suggests that while the initial exploitation may be automated, some form of user engagement or specific conditions must be met for the attack to succeed, potentially limiting the scope of automated exploitation but not eliminating the threat entirely.
The vulnerability's characteristics align with CWE-287, which addresses improper authentication issues, and represents a clear violation of the principle of least privilege in security architecture. From an attack perspective, this vulnerability maps to several ATT&CK techniques including T1190 for exploitation of remote services and T1566 for social engineering or user interaction methods. Organizations utilizing affected versions of Oracle Financial Services Analytical Applications Infrastructure face substantial risk of data manipulation and potential regulatory violations, particularly in environments where financial data integrity is subject to strict compliance requirements under frameworks such as SOX, PCI DSS, or other financial regulatory standards.
Mitigation strategies should include immediate patching of affected systems to the latest supported versions of Oracle Financial Services Analytical Applications Infrastructure, implementation of network segmentation to limit access to affected systems, and deployment of web application firewalls to monitor and filter HTTP traffic. Additionally, organizations should conduct thorough vulnerability assessments to identify any potential unauthorized access or data modifications that may have occurred during the vulnerability window. The recommended approach involves not only addressing the immediate technical flaw but also implementing enhanced monitoring protocols for financial data integrity and establishing incident response procedures specifically tailored to address potential data manipulation attacks in financial services environments.