CVE-2020-14601 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 and while the vulnerability is in Oracle Financial Services Analytical Applications Infrastructure, attacks may significantly impact additional products. 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 as well as unauthorized read access to a subset of Oracle Financial Services Analytical Applications Infrastructure 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 • 11/01/2020
The vulnerability identified as CVE-2020-14601 resides within the Oracle Financial Services Analytical Applications Infrastructure component of Oracle Financial Services Applications, affecting versions 8.0.6 through 8.1.0. This represents a critical security weakness that exposes organizations to significant operational and financial risks. The vulnerability operates within the infrastructure layer that supports analytical applications used extensively in financial services environments, making it particularly dangerous given the sensitive nature of the data these systems typically handle. The CVSS 3.1 scoring of 6.1 indicates a medium severity threat with notable impacts to both confidentiality and integrity, though it requires human interaction for successful exploitation, which somewhat limits its automated threat potential.
The technical flaw manifests as an easily exploitable vulnerability that allows unauthenticated attackers to compromise the targeted infrastructure through HTTP network access. This means that malicious actors can potentially gain unauthorized access to the system without requiring valid credentials, creating a significant entry point for various attack vectors. The vulnerability's characteristics align with CWE-287, which addresses authentication issues, and more specifically with CWE-312, addressing sensitive data exposure, as the flaw enables unauthorized data access. The attack requires human interaction from someone other than the attacker, suggesting that social engineering or phishing techniques might be employed to facilitate the exploitation process, making this vulnerability particularly concerning in environments where user awareness is variable.
The operational impact of this vulnerability extends beyond the immediate infrastructure layer to potentially affect additional products within the Oracle Financial Services ecosystem. This cascading effect represents a significant concern for organizations that rely heavily on integrated financial applications, as compromise of one component can lead to broader system infiltration. Successful exploitation can result in unauthorized update, insert, or delete operations against sensitive data, while also enabling unauthorized read access to data subsets. These capabilities directly align with ATT&CK techniques categorized under credential access and data exposure, specifically targeting the T1566.001 and T1071.004 attack patterns. The potential for data manipulation combined with unauthorized access creates substantial risk for financial institutions, particularly given the sensitive nature of analytical data used for decision-making processes.
Organizations must implement immediate mitigations to address this vulnerability, including network segmentation to limit access to the affected infrastructure, implementation of web application firewalls, and thorough review of access controls. Regular security assessments and penetration testing should be conducted to identify potential exploitation vectors, while employee training programs should address the social engineering aspects that could facilitate successful attacks. The vulnerability's classification under CVSS vector AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N indicates that network-based attacks are possible with low access complexity, no authentication requirements, but requiring user interaction, making layered security approaches essential for comprehensive protection. Additionally, organizations should consider implementing monitoring solutions that can detect anomalous access patterns or unauthorized data modifications, as the vulnerability's impact on both integrity and confidentiality makes detection challenging without proper oversight mechanisms in place.