CVE-2025-40894 in Guardian
Summary
by MITRE • 03/04/2026
A Stored HTML Injection vulnerability was discovered in the Alerted Nodes Dashboard functionality due to improper validation on an input parameter.
A malicious authenticated user with the required privileges could edit a node label to inject HTML tags. If the system is configured to use the Alerted Nodes Dashboard, and alerts are reported for the affected node, then the injected HTML may render in the browser of a victim user interacting with it, enabling phishing and possibly open redirect attacks. Full XSS exploitation and direct information disclosure are prevented by the existing input validation and Content Security Policy configuration.
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Analysis
by VulDB Data Team • 03/06/2026
The vulnerability identified as CVE-2025-40894 represents a stored HTML injection flaw within the Alerted Nodes Dashboard functionality of a web application. This security weakness stems from inadequate input validation on a specific parameter that controls node labels within the system's configuration. The flaw allows authenticated users with appropriate privileges to manipulate node label values by injecting HTML content, creating a persistent security risk that can affect multiple users who interact with the dashboard. The vulnerability is classified as a stored injection because the malicious HTML content is permanently stored within the application's database and subsequently rendered whenever the affected node is displayed in the dashboard interface.
The technical implementation of this vulnerability occurs through the improper sanitization of user input when processing node label modifications. When an authenticated user with sufficient privileges edits a node label, the system fails to adequately validate or sanitize the input before storing it in the database. This oversight creates a condition where HTML tags and potentially JavaScript code can be embedded within the node label field. The stored content then gets rendered in the Alerted Nodes Dashboard without proper output encoding or sanitization, allowing the malicious HTML to execute in the context of other users' browsers who view the dashboard. This type of vulnerability aligns with CWE-79, which specifically addresses Cross-Site Scripting (XSS) vulnerabilities due to improper output escaping or encoding.
The operational impact of this vulnerability extends beyond simple visual manipulation as it creates a vector for various malicious activities within the targeted environment. When victim users access the Alerted Nodes Dashboard and encounter the compromised node labels, they may be subjected to phishing attacks where the injected HTML content appears to originate from a legitimate system interface. The vulnerability could also enable open redirect attacks where malicious links are embedded within the HTML injection, potentially directing users to compromised external sites. While the existing security controls including input validation and Content Security Policy configurations prevent full exploitation and direct information disclosure, the vulnerability still represents a significant risk to user trust and system integrity within the targeted organization's security posture.
Mitigation strategies for CVE-2025-40894 should focus on implementing robust input validation and output encoding mechanisms throughout the application's data processing pipeline. The primary remediation involves strengthening the input validation routines to reject or sanitize HTML content in node label fields, ensuring that all user-supplied data undergoes proper sanitization before being stored in the database. Organizations should implement comprehensive output encoding when rendering node labels in the dashboard interface, particularly utilizing context-appropriate encoding mechanisms such as HTML entity encoding for display contexts. The implementation of a robust Content Security Policy should be enhanced to include restrictions on inline script execution and the use of trusted sources for all dynamic content. Security teams should also consider implementing automated input validation testing and regular security assessments to prevent similar vulnerabilities from emerging in other parts of the application. This remediation approach aligns with ATT&CK technique T1059.007 for command and scripting interpreter, specifically targeting the prevention of script injection attacks through proper input validation and output encoding mechanisms.