CVE-2017-10173 in Retail Open Commerce Platform
Summary
by MITRE
Vulnerability in the Oracle Retail Open Commerce Platform component of Oracle Retail Applications (subcomponent: Website). Supported versions that are affected are 5.0, 5.1, 5.2, 5.3, 6.0, 6.1, 15.0 and 15.1. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Retail Open Commerce Platform. While the vulnerability is in Oracle Retail Open Commerce Platform, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Retail Open Commerce Platform accessible data. CVSS 3.0 Base Score 5.8 (Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:N/I:L/A:N).
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Analysis
by VulDB Data Team • 01/03/2021
The vulnerability identified as CVE-2017-10173 resides within the Oracle Retail Open Commerce Platform, specifically affecting the Website subcomponent of Oracle Retail Applications. This security flaw impacts multiple version lines including 5.0 through 5.3, 6.0 through 6.1, and 15.0 through 15.1, representing a substantial attack surface across the platform's lifecycle. The vulnerability's classification as easily exploitable indicates that malicious actors require minimal technical expertise or resources to leverage this weakness, making it particularly dangerous in production environments where such systems often handle sensitive customer and business data.
This vulnerability operates through HTTP network access channels without requiring authentication credentials, creating an unauthenticated attack vector that can be exploited by remote adversaries. The technical nature of the flaw allows attackers to perform unauthorized operations including update, insert, and delete actions against data within the Oracle Retail Open Commerce Platform. The CVSS 3.0 scoring system rates this vulnerability at 5.8 out of 10, with the integrity impact category receiving the highest weight, indicating that the primary concern lies in data modification rather than complete system compromise or data disclosure. The attack vector assessment of AV:N (Adjacent Network) combined with low access complexity AC:L (Low) and no privilege requirements PR:N (None) demonstrates that this vulnerability can be exploited from a network location without requiring special user privileges or extensive reconnaissance.
The operational impact of CVE-2017-10173 extends beyond the immediate platform components, as successful exploitation can create cascading effects that compromise additional products within the Oracle Retail ecosystem. This interconnected nature of the vulnerability means that a single point of compromise can potentially lead to broader system infiltration or data corruption across multiple applications. Organizations utilizing the affected versions face significant risk of data integrity violations, which could manifest as unauthorized modifications to product catalogs, pricing information, customer data, or transaction records. The CVSS vector specifically indicates that while the attack may cause integrity impacts, it does not result in significant confidentiality or availability degradation, though the potential for unauthorized data modification remains a critical concern for retail operations.
From a cybersecurity framework perspective, this vulnerability aligns with CWE-287 (Improper Authentication) and represents a failure in implementing proper access controls for web-based administrative interfaces. The ATT&CK framework would categorize this as a privilege escalation or persistence technique through network-based exploitation, where adversaries leverage weak authentication mechanisms to gain unauthorized data modification capabilities. Organizations should implement immediate mitigations including network segmentation, firewall rules to restrict HTTP access to critical systems, and application-level security controls. The vulnerability's nature suggests that patch management processes should prioritize this update, as the affected versions represent a significant portion of the platform's supported releases. Additionally, monitoring for unauthorized HTTP access attempts and implementing robust logging mechanisms around data modification activities can help detect exploitation attempts before they result in successful data compromise.