CVE-2008-3381 in MoinMoin
Summary
by MITRE
Multiple cross-site scripting (XSS) vulnerabilities in macro/AdvancedSearch.py in moin (and MoinMoin) 1.6.3 and 1.7.0 allow remote attackers to inject arbitrary web script or HTML via unspecified vectors.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 09/06/2019
The vulnerability identified as CVE-2008-3381 represents a critical cross-site scripting flaw within the moin wiki software ecosystem, specifically affecting versions 1.6.3 and 1.7.0 of the MoinMoin platform. This vulnerability resides within the macro/AdvancedSearch.py component, which serves as a critical search functionality module for the wiki system. The flaw enables remote attackers to execute malicious web scripts or inject arbitrary HTML code into the application's user interface, potentially compromising user sessions and data integrity. The unspecified vectors suggest that the vulnerability may manifest through multiple input channels within the advanced search functionality, making it particularly challenging to fully mitigate without comprehensive analysis of all potential attack paths.
The technical nature of this vulnerability aligns with CWE-79, which specifically addresses cross-site scripting flaws in web applications. This classification indicates that the vulnerability stems from inadequate input validation and output encoding mechanisms within the search functionality. The AdvancedSearch.py module likely fails to properly sanitize user input parameters before incorporating them into dynamically generated web content, creating opportunities for attackers to inject malicious payloads. These payloads could include javascript code, html tags, or other malicious constructs that execute within the context of other users' browsers when they access search results or related pages. The vulnerability's remote exploitation capability means that attackers need only send malicious input through the search interface without requiring local access or authentication.
The operational impact of this vulnerability extends beyond simple data theft or display manipulation, as it provides attackers with persistent access to user sessions and potentially sensitive information within the wiki environment. When users interact with search results containing malicious code, their browsers execute the injected scripts, which could redirect them to phishing sites, steal session cookies, or perform actions on their behalf within the wiki application. This creates a significant risk for collaborative environments where multiple users access the same wiki platform, as compromised user sessions can lead to unauthorized content modification, data leakage, or complete system compromise. The vulnerability particularly affects organizations relying on MoinMoin for documentation, knowledge management, or collaborative platforms where user trust and data integrity are paramount.
Mitigation strategies for CVE-2008-3381 should focus on implementing robust input validation and output encoding mechanisms throughout the AdvancedSearch.py module and related components. Organizations should immediately upgrade to patched versions of MoinMoin, as the vulnerability was addressed in subsequent releases through proper sanitization of user inputs and enhanced encoding of dynamic content. Security measures should include implementing Content Security Policy headers to prevent execution of unauthorized scripts, establishing strict input validation routines that filter out potentially malicious characters, and conducting regular security audits of all macro and search functionality components. Additionally, administrators should consider implementing web application firewalls to monitor and block suspicious search queries, while also educating users about the risks of clicking on unexpected search results or entering untrusted data into wiki search fields. The remediation process should follow ATT&CK framework principles for mitigating web application vulnerabilities, particularly focusing on input validation and output encoding techniques to prevent XSS exploitation pathways.