CVE-2017-10191 in Web Analytics
Summary
by MITRE
Vulnerability in the Oracle Web Analytics component of Oracle E-Business Suite (subcomponent: Common Libraries). Supported versions that are affected are 12.1.1, 12.1.2, 12.1.3, 12.2.3, 12.2.4, 12.2.5 and 12.2.6. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Web Analytics. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Web Analytics, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Web Analytics accessible data as well as unauthorized update, insert or delete access to some of Oracle Web Analytics accessible data. CVSS 3.0 Base Score 8.2 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N).
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Analysis
by VulDB Data Team • 01/02/2021
The vulnerability identified as CVE-2017-10191 resides within the Oracle Web Analytics component of Oracle E-Business Suite, specifically within the Common Libraries subcomponent. This flaw represents a significant security weakness that affects multiple versions of the Oracle E-Business Suite including 12.1.1, 12.1.2, 12.1.3, 12.2.3, 12.2.4, 12.2.5, and 12.2.6. The vulnerability operates at the network level and can be exploited by unauthenticated attackers who gain access through HTTP protocols, making it particularly dangerous given the widespread use of web-based interfaces in enterprise environments. The Common Libraries component serves as a foundational element that supports various Oracle applications, amplifying the potential impact of this vulnerability across the entire suite.
The technical nature of this vulnerability stems from insufficient authentication mechanisms and access controls within the Oracle Web Analytics framework. Attackers can exploit this weakness without requiring any prior authentication credentials, allowing them to directly interact with the vulnerable component through standard HTTP requests. The vulnerability's classification as easily exploitable indicates that the attack vector requires minimal technical expertise, potentially enabling even less sophisticated threat actors to successfully compromise systems. The fact that human interaction is required from a person other than the attacker suggests that the exploit may involve social engineering components or require specific user actions that could be manipulated through phishing or similar techniques. This characteristic places additional emphasis on user awareness and training as part of the overall security posture.
The operational impact of CVE-2017-10191 extends beyond the immediate compromise of Oracle Web Analytics functionality. The vulnerability's potential to result in unauthorized access to critical data represents a severe threat to information security, particularly in enterprise environments where sensitive business intelligence and analytics data are stored. The CVSS 3.0 Base Score of 8.2 indicates a high severity level with significant confidentiality and integrity impacts, while the vector assessment shows that the attack requires low complexity and no privileges, making it particularly dangerous. Successful exploitation can lead to complete access to all Oracle Web Analytics accessible data, which may include proprietary business metrics, customer information, and strategic analytics that could be used for competitive advantage or financial gain. Additionally, attackers can gain unauthorized update, insert, or delete access to some of the accessible data, potentially causing data corruption or manipulation that could affect business operations and decision-making processes.
The security implications of this vulnerability align with CWE-287, which addresses improper authentication issues, and can be mapped to ATT&CK technique T1078 for valid accounts and T1566 for phishing attacks that may be leveraged to facilitate exploitation. Organizations utilizing affected Oracle E-Business Suite versions face substantial risk of data breaches and operational disruption. The vulnerability's impact on additional products suggests that the compromised Web Analytics component may serve as a gateway to other interconnected systems within the Oracle ecosystem. This interconnectedness means that a single vulnerability can potentially compromise multiple applications and data repositories within the enterprise infrastructure, creating cascading security risks that extend far beyond the initial attack surface. The CVSS scoring reflects the comprehensive nature of potential damage, with high confidentiality impact indicating that attackers can access sensitive data, while the integrity impact score suggests they can modify data without detection, creating both immediate and long-term security consequences.
Organizations should implement immediate mitigations including applying Oracle's security patches and updates, implementing network segmentation to limit access to vulnerable components, and establishing monitoring controls to detect unauthorized access attempts. The vulnerability's classification as requiring human interaction suggests that user education and awareness programs should be strengthened to prevent social engineering attacks that might facilitate exploitation. Network-level controls such as firewalls and intrusion detection systems should be configured to restrict access to Oracle Web Analytics components, while regular security assessments should be conducted to identify and remediate similar vulnerabilities. Given the potential for significant data exposure, organizations should also implement data loss prevention measures and establish incident response procedures specifically designed to address this type of vulnerability. The interconnected nature of the affected systems emphasizes the importance of comprehensive security management that considers the entire Oracle E-Business Suite ecosystem rather than isolated component security measures.