CVE-2017-3254 in Retail Invoice Matching
Summary
by MITRE
Vulnerability in the Oracle Retail Invoice Matching component of Oracle Retail Applications (subcomponent: Security). Supported versions that are affected are 12.0 and 13.0. Easily "exploitable" vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Retail Invoice Matching. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized access to critical data or complete access to all Oracle Retail Invoice Matching accessible data as well as unauthorized update, insert or delete access to some of Oracle Retail Invoice Matching accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Retail Invoice Matching. CVSS 3.0 Base Score 7.6 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:L).
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Analysis
by VulDB Data Team • 12/20/2020
The vulnerability identified as CVE-2017-3254 resides within Oracle Retail Invoice Matching, a critical component of Oracle Retail Applications that handles invoice processing and matching operations. This security flaw affects specifically versions 12.0 and 13.0 of the retail applications suite, representing a significant risk to organizations utilizing these systems for financial transaction processing. The vulnerability operates at the security layer of the application, making it particularly dangerous as it directly impacts the authentication and authorization mechanisms that protect sensitive financial data. The affected subcomponent specifically relates to the security framework that governs access controls and user authentication within the invoice matching process, creating a pathway for unauthorized access to critical business information.
The technical nature of this vulnerability allows an unauthenticated attacker to exploit the system through standard HTTP network connections without requiring any prior credentials or privileged access. This represents a classic network-based attack vector that leverages the application's web interface to gain unauthorized access to system resources. The vulnerability's classification as easily exploitable indicates that the attack methodology requires minimal technical skill or resources to implement successfully, making it particularly concerning for enterprise environments. The attack requires human interaction from users other than the attacker, suggesting that the exploit may involve social engineering components or require legitimate user accounts to be compromised through phishing or similar techniques before the vulnerability can be fully leveraged.
The operational impact of this vulnerability extends across multiple security domains including confidentiality, integrity, and availability as indicated by the CVSS 3.0 scoring system. Successful exploitation can result in unauthorized access to critical financial data, potentially exposing sensitive invoice information, vendor details, payment records, and other confidential business data that flows through the retail invoice matching system. The vulnerability enables attackers to achieve complete access to all data accessible through the Oracle Retail Invoice Matching component, representing a severe data breach risk that could compromise entire financial transaction histories. Additionally, attackers can gain unauthorized update, insert, or delete access to data, allowing them to modify or corrupt financial records, potentially leading to financial losses, regulatory compliance violations, and operational disruptions. The partial denial of service component indicates that attackers could also disrupt normal operations by making certain system functions unavailable to legitimate users, though this would represent a limited impact compared to the data compromise aspects.
Organizations affected by this vulnerability should immediately implement mitigations including network segmentation to restrict access to the affected systems, implementation of web application firewalls to monitor and filter HTTP traffic, and comprehensive network access controls to limit exposure. The vulnerability's CVSS score of 7.6 indicates a high-risk classification requiring immediate attention, particularly given the potential for complete data compromise and partial denial of service impacts. Security teams should conduct thorough vulnerability assessments to identify all instances of the affected Oracle Retail Applications versions and ensure proper patching procedures are implemented. The attack vector through HTTP connections suggests that organizations should also review their web application security configurations and implement additional monitoring for suspicious network activity. This vulnerability aligns with CWE-287 which addresses improper authentication issues and may also map to ATT&CK techniques related to credential access and privilege escalation through network-based exploitation methods. Organizations should also consider implementing additional security controls such as multi-factor authentication for administrative access, regular security audits of web applications, and enhanced monitoring of financial transaction processing systems to detect potential exploitation attempts.