CVE-2018-10704 in yii2cmf
Summary
by MITRE
yidashi yii2cmf 2.0 has XSS via the /search q parameter.
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Analysis
by VulDB Data Team • 05/12/2025
The vulnerability identified as CVE-2018-10704 affects the yidashi yii2cmf 2.0 content management framework, specifically targeting cross-site scripting vulnerabilities within the search functionality. This issue manifests when the application processes the /search endpoint with a q parameter, which fails to properly sanitize user input before rendering it in the web interface. The flaw represents a classic server-side input validation failure that allows malicious actors to inject arbitrary javascript code into search results, potentially compromising user sessions and data integrity.
The technical implementation of this vulnerability stems from inadequate input sanitization within the yii2cmf framework's search module. When users submit search queries through the q parameter, the application does not adequately escape or filter special characters that could be interpreted as HTML or javascript markup. This vulnerability directly maps to CWE-79 which defines Cross-Site Scripting as a weakness where untrusted data is sent to a web browser without proper validation or encoding, allowing attackers to inject malicious scripts. The vulnerability exists in the application's user input handling mechanism, specifically within the search result rendering process where the q parameter value is directly incorporated into the HTML output without appropriate sanitization.
The operational impact of this vulnerability extends beyond simple script injection, as it creates potential pathways for session hijacking, credential theft, and data exfiltration. An attacker could craft malicious search queries containing javascript payloads that execute when other users view the search results, potentially stealing cookies, session tokens, or redirecting users to malicious sites. This vulnerability particularly affects web applications using the yii2cmf framework where users have access to search functionality, making it a significant concern for content management systems that rely heavily on user-generated search interactions. The attack vector aligns with ATT&CK technique T1566.001 which describes the use of malicious search queries to deliver payloads through web applications, potentially leading to broader system compromise through session manipulation or privilege escalation.
Mitigation strategies for this vulnerability should focus on implementing comprehensive input validation and output encoding mechanisms within the yii2cmf framework. The most effective immediate solution involves sanitizing all user input parameters through proper HTML encoding before rendering them in web pages, specifically implementing the htmlspecialchars function or similar encoding mechanisms for the q parameter. Organizations should also consider implementing Content Security Policy headers to limit script execution capabilities, while regular security audits should verify that all user input fields are properly validated. Additionally, the framework should be updated to the latest patched versions that address this specific vulnerability, as the maintainers of yii2cmf have likely implemented proper sanitization measures in subsequent releases. The remediation approach should follow established security practices outlined in OWASP Top 10 and NIST guidelines for preventing cross-site scripting vulnerabilities through proper input handling and output encoding.