CVE-2018-1927 in StoredIQ
Summary
by MITRE
IBM StoredIQ 7.6 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 153118.
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Analysis
by VulDB Data Team • 06/12/2023
IBM StoredIQ version 7.6 contains a cross-site request forgery vulnerability that represents a critical security weakness in the web application interface. This vulnerability falls under the CWE-352 category, which specifically addresses cross-site request forgery flaws in web applications. The flaw exists in the authentication and session management mechanisms of the StoredIQ platform, where the application fails to properly validate the origin of HTTP requests, allowing malicious actors to exploit the trust relationship between legitimate users and the web application.
The technical implementation of this vulnerability stems from the absence of proper anti-CSRF token validation within the application's request processing pipeline. When a legitimate user authenticates to the IBM StoredIQ interface, their session remains active and trusted by the system. However, an attacker can craft malicious web pages or exploit existing vulnerabilities in other parts of the network to trick the authenticated user into making unintended requests to the StoredIQ application. These forged requests appear to originate from a trusted source, bypassing the normal security controls that should prevent unauthorized actions.
The operational impact of this vulnerability is significant as it allows attackers to perform unauthorized administrative actions within the StoredIQ environment. An attacker could potentially modify configuration settings, delete data, create new user accounts, or access sensitive information without proper authorization. The vulnerability particularly affects organizations that rely on StoredIQ for data governance and compliance monitoring, as unauthorized modifications to data policies or access controls could compromise the integrity of their data management systems. This risk is amplified in environments where StoredIQ is used to manage critical enterprise data assets and where administrative privileges are frequently used.
Organizations should implement multiple layers of defense to mitigate this vulnerability. The primary mitigation involves implementing robust anti-CSRF token mechanisms that are generated for each user session and validated on every state-changing request. The application should generate unique tokens for each transaction and ensure these tokens are properly validated before executing any administrative actions. Additionally, organizations should enforce strict Content Security Policy headers to prevent the execution of unauthorized scripts and implement proper session management controls that include automatic session timeouts and secure cookie attributes. Security teams should also conduct regular vulnerability assessments and penetration testing to identify similar weaknesses in other web applications within their environment. This vulnerability aligns with ATT&CK technique T1566 which covers social engineering through malicious web content, and T1078 which addresses valid accounts for persistence and privilege escalation.