CVE-2024-3575 in mindsdb
Summary
by MITRE • 04/16/2024
Cross-site Scripting (XSS) - Stored in mindsdb/mindsdb
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Analysis
by VulDB Data Team • 10/29/2025
Cross-site scripting vulnerabilities in the mindsdb/mindsdb repository represent a critical security weakness that allows attackers to inject malicious scripts into web applications, potentially compromising user sessions and data integrity. This stored XSS vulnerability specifically occurs when user-supplied input is not properly sanitized before being rendered in web pages, creating persistent attack vectors that can affect multiple users over time. The flaw enables adversaries to execute arbitrary JavaScript code within the context of other users' browsers, making it particularly dangerous for collaborative environments where multiple users interact with shared data and interfaces.
The technical implementation of this vulnerability stems from insufficient input validation and output encoding mechanisms within the mindsdb application framework. When users submit data through various interface elements such as comments, configuration settings, or data inputs, the system fails to adequately sanitize these values before storing them in databases or rendering them in subsequent web responses. This creates opportunities for attackers to embed malicious script payloads that persistently execute whenever affected pages are loaded by other users. The vulnerability typically manifests when application components directly incorporate user-provided content into HTML output without proper contextual escaping or sanitization measures.
Operational impact of this stored XSS vulnerability extends beyond simple script execution to encompass potential session hijacking, credential theft, and data exfiltration attacks. Attackers can leverage these vulnerabilities to steal authentication cookies, access sensitive user information, modify application behavior, or redirect users to malicious domains. In the context of mindsdb, which serves as an open-source machine learning platform with database integration capabilities, successful exploitation could lead to unauthorized access to machine learning models, training data, and configuration settings that may contain proprietary algorithms or sensitive business intelligence. The persistent nature of stored XSS makes it particularly dangerous as attacks can affect multiple users over extended periods without requiring repeated user interaction.
Mitigation strategies for this vulnerability require comprehensive input validation and output encoding implementations across all user-facing application components. Organizations should implement strict sanitization routines that remove or encode potentially dangerous characters and script tags from user inputs before storage and rendering. The implementation of Content Security Policy headers provides additional protection by restricting script execution sources, while proper context-aware encoding ensures that data rendered in different HTML contexts (attributes, scripts, styles) receives appropriate escaping. Regular security auditing and automated vulnerability scanning should be integrated into development workflows to identify similar flaws in other application components. This remediation approach aligns with CWE-79 which specifically addresses cross-site scripting vulnerabilities and follows ATT&CK technique T1566 for credential access through malicious content injection, making it essential for organizations to address these weaknesses proactively to maintain secure application environments.
The vulnerability landscape for stored XSS in mindsdb highlights the importance of secure coding practices throughout the software development lifecycle. Proper threat modeling during initial design phases can identify potential injection points where user input might be improperly handled, while comprehensive code reviews should specifically focus on output encoding mechanisms and input validation routines. Security teams must also consider implementing web application firewalls to detect and block common XSS attack patterns, though these should complement rather than replace proper code-level defenses. Regular security training for development teams ensures awareness of common injection vulnerabilities and their prevention techniques, reducing the likelihood of similar issues in future releases or related components within the mindsdb ecosystem.