CVE-2020-4520 in Cognos Analytics
Summary
by MITRE • 06/02/2021
IBM Cognos Analytics 11.0 and 11.1 could allow a remote attacker to inject malicious HTML code that when viewed by the authenticated victim would execute the code. IBM X-Force ID: 182395.
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Analysis
by VulDB Data Team • 06/03/2021
IBM Cognos Analytics version 11.0 and 11.1 contains a cross-site scripting vulnerability that enables remote attackers to inject malicious HTML code into the application's web interface. This flaw resides in the application's handling of user-supplied input within web responses, creating an opportunity for attackers to execute arbitrary code in the context of a victim's browser session. The vulnerability specifically affects the web-based administration and reporting components of the analytics platform, where user-generated content or parameters are not properly sanitized before being rendered to end users. The attack vector requires an authenticated session to the IBM Cognos Analytics application, meaning that an attacker must first obtain valid credentials to exploit this vulnerability successfully. This makes the attack more targeted but still poses significant risk to organizations that maintain large user bases or have less stringent access controls.
The technical implementation of this vulnerability stems from inadequate input validation and output encoding within the web application's response handling mechanisms. When users create reports, dashboards, or interact with various administrative functions, the system fails to properly escape or filter special characters that could be interpreted as HTML or JavaScript code. This weakness allows attackers to craft malicious payloads that are stored within the application's data storage and subsequently executed when other authenticated users view the affected content. The vulnerability falls under the CWE-79 category of Cross-Site Scripting, specifically representing a reflected XSS variant where the malicious script is stored and then executed. The attack typically involves embedding malicious script tags within report parameters or data fields that are later rendered to other users without proper sanitization. This vulnerability is particularly dangerous in enterprise environments where analytics platforms are used extensively and contain sensitive business data.
The operational impact of this vulnerability extends beyond simple code execution, as it can enable attackers to perform a wide range of malicious activities within the compromised environment. Once an attacker successfully injects malicious code, they can potentially steal session cookies, redirect users to phishing sites, or harvest sensitive information from authenticated sessions. The vulnerability could be exploited to create persistent backdoors within the analytics platform, allowing attackers to maintain long-term access to the system. Additionally, the attack could be used to manipulate or corrupt data within the analytics environment, potentially affecting business intelligence and decision-making processes. Organizations using IBM Cognos Analytics may face regulatory compliance issues if sensitive data is compromised, as this vulnerability could lead to unauthorized data access and potential data exfiltration. The impact is particularly severe in financial services, healthcare, or government sectors where analytics platforms process sensitive information and where such breaches could result in significant financial and reputational damage.
Organizations should implement multiple layers of defense to mitigate this vulnerability effectively. Immediate remediation involves applying the official IBM security patches and updates that address the cross-site scripting flaw in the affected versions. System administrators should also implement proper input validation and output encoding mechanisms at the application level to prevent malicious code from being stored or executed. Network-level protections such as web application firewalls can provide additional monitoring and filtering capabilities to detect and block suspicious script injection attempts. Regular security assessments and penetration testing should be conducted to identify similar vulnerabilities within the broader IT infrastructure. Access controls should be strengthened through multi-factor authentication and role-based access restrictions to limit the potential impact of credential compromise. Organizations should also implement security awareness training for users to recognize and report suspicious activities within the analytics platform. The vulnerability aligns with several ATT&CK techniques including T1059.007 for command and script interpreter and T1566 for credential harvesting through social engineering. Regular monitoring of application logs and user activity patterns can help detect exploitation attempts and provide early warning of potential security incidents.