CVE-2021-2188 in iStore
Summary
by MITRE • 04/23/2021
Vulnerability in the Oracle iStore product of Oracle E-Business Suite (component: Shopping Cart). Supported versions that are affected are 12.1.1-12.1.3 and 12.2.3-12.2.10. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle iStore. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle iStore, 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 iStore accessible data as well as unauthorized update, insert or delete access to some of Oracle iStore accessible data. CVSS 3.1 Base Score 8.2 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:L/A:N).
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Analysis
by VulDB Data Team • 04/28/2021
The vulnerability identified as CVE-2021-2188 represents a critical security flaw within Oracle iStore component of the Oracle E-Business Suite ecosystem. This vulnerability specifically affects the shopping cart functionality and impacts multiple version ranges including 12.1.1 through 12.1.3 and 12.2.3 through 12.2.10. The flaw exists within the Oracle iStore product which serves as an e-commerce platform component within the broader Oracle E-Business Suite framework, making it a prime target for attackers seeking to compromise enterprise financial and operational data systems.
The technical nature of this vulnerability stems from insufficient input validation and access control mechanisms within the shopping cart functionality. Attackers can exploit this weakness through unauthenticated HTTP network connections without requiring any special privileges or credentials. The vulnerability's classification as easily exploitable indicates that the attack vector is straightforward and does not require advanced technical skills or specialized tools. The CVSS 3.1 score of 8.2 reflects the high severity of this flaw, with a base score that emphasizes significant confidentiality and integrity impacts while noting that the attack requires human interaction from users other than the attacker, suggesting a social engineering component to successful exploitation.
The operational impact of this vulnerability extends beyond the immediate iStore component to potentially affect additional Oracle products within the E-Business Suite environment. This cascading effect demonstrates the interconnected nature of enterprise applications where a flaw in one component can create vulnerabilities across the entire system landscape. Successful exploitation can lead to unauthorized access to critical business data including financial records, customer information, and operational details that are typically protected within enterprise environments. The vulnerability allows attackers to achieve complete access to all Oracle iStore accessible data, representing a severe compromise of data confidentiality and integrity. Additionally, attackers can perform unauthorized update, insert, or delete operations on sensitive data, creating potential for both data exfiltration and data corruption scenarios that could severely impact business operations and regulatory compliance.
Organizations affected by this vulnerability should implement immediate mitigation strategies including applying the relevant Oracle security patches, implementing network segmentation to limit access to the affected systems, and deploying intrusion detection systems to monitor for suspicious HTTP traffic patterns. The vulnerability's classification under CWE-20 (Improper Input Validation) and its mapping to ATT&CK technique T1190 (Exploit Public-Facing Application) highlights the need for comprehensive security measures that address both application-level and network-level protections. Security teams should also consider implementing additional monitoring for user behavior anomalies that might indicate exploitation attempts, as the requirement for human interaction suggests potential social engineering elements that could be leveraged in targeted attacks against specific users within the organization.