CVE-2018-2891 in Retail Bulk Data Integrationinfo

Summary

by MITRE

Vulnerability in the Oracle Retail Bulk Data Integration component of Oracle Retail Applications (subcomponent: BDI Job Scheduler). The supported version that is affected is 16.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Retail Bulk Data Integration. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Retail Bulk Data Integration, 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 Bulk Data Integration accessible data as well as unauthorized read access to a subset of Oracle Retail Bulk Data Integration accessible data. CVSS 3.0 Base Score 6.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/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 • 04/18/2023

The vulnerability described in CVE-2018-2891 resides within the Oracle Retail Bulk Data Integration component, specifically within the BDI Job Scheduler subcomponent. This flaw affects Oracle Retail Applications version 16.0 and represents a critical security weakness that can be exploited by unauthenticated attackers with network access through HTTP protocols. The vulnerability's classification as easily exploitable indicates that attackers can leverage this weakness without requiring specialized tools or extensive technical knowledge, making it particularly dangerous in production environments where such systems are often accessible over networks. The attack vector through HTTP protocols suggests that the vulnerability may be reachable through standard web browsing or automated scanning tools, potentially allowing attackers to probe systems without authentication credentials.

The technical nature of this vulnerability stems from insufficient authentication and authorization controls within the BDI Job Scheduler component, which operates as part of the broader Oracle Retail ecosystem. This weakness enables attackers to perform unauthorized operations against the affected system, including update, insert, and delete access to sensitive data within the Oracle Retail Bulk Data Integration environment. The vulnerability's impact extends beyond the immediate component, as successful exploitation can affect additional products within the Oracle Retail Applications suite, creating cascading security implications that may compromise entire retail data processing infrastructures. The CVSS 3.0 score of 6.1 reflects the moderate severity of the vulnerability, with particular emphasis on confidentiality and integrity impacts, indicating that attackers can potentially access or modify sensitive retail data while maintaining relatively low complexity in their attack approach.

From an operational perspective, this vulnerability creates significant risks for retail organizations that rely on Oracle Retail Bulk Data Integration for processing large volumes of transactional and inventory data. The requirement for human interaction beyond the initial attacker suggests that the vulnerability might be exploited through social engineering or by leveraging existing user sessions, making it particularly challenging to detect and prevent. The unauthorized read access to data subsets combined with write capabilities creates a dual threat where attackers can not only steal sensitive information but also potentially corrupt or manipulate critical business data that drives retail operations. This vulnerability's potential to impact additional products within the Oracle Retail Applications ecosystem means that compromise of one component could lead to broader system infiltration, affecting data integrity across multiple retail applications.

Security mitigations for CVE-2018-2891 should prioritize immediate patching and updates from Oracle to address the authentication and authorization flaws within the BDI Job Scheduler. Organizations should implement network segmentation to limit access to the affected component, particularly restricting HTTP access to authorized administrative networks only. The implementation of web application firewalls and intrusion detection systems can help monitor for suspicious HTTP requests targeting the vulnerable scheduler component. Additionally, organizations should conduct comprehensive network scans to identify all instances of the affected Oracle Retail Bulk Data Integration version 16.0 and ensure that proper access controls are implemented through Oracle's security configuration options. Regular security assessments should be performed to verify that the vulnerability has been properly remediated and that no backdoors or persistent access mechanisms remain within the system. The vulnerability aligns with CWE-287 which addresses improper authentication issues, and may map to ATT&CK techniques related to credential access and privilege escalation through web application exploitation.

The broader implications of this vulnerability extend to industry compliance requirements, particularly for organizations subject to regulations such as pci dss which govern payment card data handling and require robust security controls. Retail organizations must ensure that their security posture meets these requirements while addressing the specific threat posed by this vulnerability. The interconnected nature of Oracle Retail Applications means that organizations should consider implementing comprehensive security monitoring across their entire retail data processing infrastructure to detect potential exploitation attempts. Regular vulnerability assessments and penetration testing should be conducted to identify similar weaknesses in other components of the Oracle Retail suite, ensuring that security controls are comprehensive and address the full attack surface of the organization's retail data processing systems.

Reservation

12/15/2017

Disclosure

07/18/2018

Moderation

accepted

CPE

ready

EPSS

0.01076

KEV

no

Activities

very low

Sources

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