CVE-2026-3024 in Application Web
Summary
by MITRE • 03/16/2026
Stored Cross-Site Scripting (XSS) vulnerability in the Wakyma web application, specifically in the endpoint 'vets.wakyma.com/configuracion/agenda/modelo-formulario-evento'. A user with permission to create personalized accounts could exploit this vulnerability simply by creating a malicious survey that would harm the entire veterinary team. At the same time, a user with low privileges could exploit this vulnerability to access unauthorized data and perform actions with elevated privileges.
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Analysis
by VulDB Data Team • 03/21/2026
The CVE-2026-3024 vulnerability represents a critical stored cross-site scripting flaw within the Wakyma web application ecosystem, specifically targeting the endpoint at vets.wakyma.com/configuracion/agenda/modelo-formulario-evento. This vulnerability manifests as a persistent security weakness that allows attackers to inject malicious scripts into the application's data storage, which then execute whenever authorized users interact with the affected functionality. The flaw exists in the application's handling of user-supplied input during the creation of personalized account configurations, where proper sanitization and validation mechanisms fail to adequately protect against malicious payload injection.
The technical exploitation of this vulnerability stems from inadequate input validation and output encoding practices within the web application's backend processing logic. When legitimate users create survey forms or configuration templates through the targeted endpoint, the application fails to properly sanitize user input before storing it in the database. This stored malicious content becomes part of the application's data repository and executes in the context of other users' browsers when they access the affected pages. The vulnerability specifically impacts the application's form creation and scheduling functionality, where user-generated content is rendered without proper security controls. According to CWE standards, this represents a classic stored XSS vulnerability classified under CWE-79, which occurs when web applications fail to properly encode output data that originates from user-controlled sources.
The operational impact of this vulnerability extends beyond simple data corruption or display manipulation, as it provides attackers with the capability to compromise entire user sessions and access unauthorized data. Low-privilege users can potentially exploit this weakness to escalate their privileges and gain access to sensitive veterinary information, while higher-privileged users may find their accounts compromised through session hijacking or credential theft mechanisms. The vulnerability affects the entire veterinary team as the malicious scripts execute in the context of every user who views the affected survey forms, creating a widespread security risk. This threat model aligns with ATT&CK framework techniques under T1059.001 for command and scripting interpreter and T1531 for account access removal, as the vulnerability enables attackers to manipulate user sessions and potentially gain unauthorized access to protected veterinary databases and patient information systems.
Mitigation strategies for CVE-2026-3024 should prioritize immediate implementation of proper input sanitization and output encoding mechanisms throughout the application's data handling pipeline. Organizations must implement comprehensive content security policies that prevent execution of unauthorized scripts within the application's user interface, while also establishing robust input validation controls that filter and sanitize all user-supplied data before storage. The application should employ proper encoding mechanisms such as HTML entity encoding for output rendering, and implement strict access controls that limit the ability of low-privilege users to create potentially harmful content. Additionally, regular security assessments and penetration testing should be conducted to identify similar vulnerabilities across the application's codebase, with particular attention to all user-facing input fields and data storage mechanisms. The remediation process must include comprehensive logging and monitoring of user activities related to form creation and configuration changes to detect potential exploitation attempts.