CVE-2018-0537 in QQQ SYSTEMS
Summary
by MITRE
Cross-site scripting vulnerability in QQQ SYSTEMS ver2.24 allows an attacker to inject arbitrary web script or HTML via quiz_op.cgi.
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Analysis
by VulDB Data Team • 01/15/2020
The CVE-2018-0537 vulnerability represents a critical cross-site scripting flaw discovered in QQQ SYSTEMS version 2.24, specifically within the quiz_op.cgi component. This vulnerability falls under the CWE-79 category of Cross-Site Scripting, which is one of the most prevalent and dangerous web application security flaws. The vulnerability exists due to insufficient input validation and output encoding mechanisms within the quiz_op.cgi script that processes quiz-related operations. Attackers can exploit this weakness by injecting malicious script code through the quiz interface, potentially compromising user sessions and data integrity.
The technical exploitation of this vulnerability occurs when the application fails to properly sanitize user-supplied input before rendering it in web pages. The quiz_op.cgi script likely accepts parameters through HTTP requests without adequate validation, allowing malicious actors to submit crafted payloads containing HTML or JavaScript code. When other users interact with the affected application or view pages containing the injected content, the malicious script executes in their browser context. This type of vulnerability is particularly dangerous as it can be leveraged to steal session cookies, perform unauthorized actions on behalf of users, or redirect victims to malicious sites.
The operational impact of CVE-2018-0537 extends beyond simple data theft, as it enables attackers to manipulate the application's behavior and potentially gain persistent access to user accounts. An attacker could craft payloads that steal authentication tokens, modify quiz results, or even establish backdoors within the system. The vulnerability affects the confidentiality, integrity, and availability of the application by allowing unauthorized code execution in user browsers. This flaw can be exploited through various attack vectors including social engineering techniques where users are tricked into clicking malicious links or visiting compromised pages.
Security professionals should implement comprehensive input validation and output encoding mechanisms to prevent this vulnerability. The recommended mitigations include implementing strict whitelisting of acceptable input characters, employing proper HTML escaping for dynamic content, and utilizing Content Security Policy headers to restrict script execution. Organizations should also conduct regular security testing including dynamic application security testing and manual code reviews to identify similar vulnerabilities. This vulnerability aligns with ATT&CK technique T1566 which covers social engineering tactics, and T1059 which covers command and scripting interpreters. Additionally, the vulnerability demonstrates the importance of following secure coding practices as outlined in OWASP Top Ten and the ISO 27001 security framework. The affected QQQ SYSTEMS version should be immediately updated to a patched release, and administrators should monitor for any signs of exploitation in their web server logs.