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CVE Vulnerability Database
Vulnerability Database/CVE-2025-59548

CVE-2025-59548: DNN (DotNetNuke) XSS Vulnerability

CVE-2025-59548 is a cross-site scripting flaw in DNN (DotNetNuke) FileBrowser that allows JavaScript injection via crafted URLs. This article covers the technical details, affected versions, and mitigation steps.

Published:

CVE-2025-59548 Overview

CVE-2025-59548 is a reflected cross-site scripting (XSS) vulnerability [CWE-79] in DNN Platform, formerly known as DotNetNuke. The flaw resides in the FileBrowser component and affects all versions prior to 10.1.0. Attackers can craft malicious URLs pointing to the FileBrowser endpoint that inject arbitrary JavaScript into the browser session of any authenticated user who clicks the link. DNN Platform is a widely deployed open-source content management system (CMS) in the Microsoft .NET ecosystem. The maintainers patched the issue in DNN version 10.1.0.

Critical Impact

Successful exploitation allows attackers to execute arbitrary JavaScript in the context of an authenticated DNN user, potentially leading to session hijacking, credential theft, or unauthorized administrative actions.

Affected Products

  • DNN Platform (DotNetNuke) versions prior to 10.1.0
  • dnnsoftware:dotnetnuke deployments exposing the FileBrowser module
  • DNN-based CMS instances accessible over the network to authenticated users

Discovery Timeline

  • 2025-09-23 - CVE-2025-59548 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-59548

Vulnerability Analysis

The vulnerability is a reflected XSS flaw in the DNN FileBrowser component. The FileBrowser accepts URL parameters that are rendered back into the client response without adequate output encoding or input sanitization. An attacker constructs a URL containing JavaScript payloads and delivers it to a victim through phishing, chat, or embedded links. When the victim clicks the link while authenticated to DNN, the injected script executes in the browser under the origin of the DNN site. Because the FileBrowser is typically accessible to authenticated content editors and administrators, exploitation can target privileged users. The scope-changed nature of the flaw allows the attacker's script to affect resources beyond the vulnerable component, including the authenticated user's session and cookies. This class of vulnerability is tracked as [CWE-79] and requires user interaction to trigger.

Root Cause

The root cause is insufficient neutralization of user-controllable input in the FileBrowser request handler. Parameter values supplied through the URL are reflected into the HTML response without contextual output encoding. The FileBrowser does not apply the encoding routines needed to render user-controlled content safely inside HTML, attribute, or script contexts.

Attack Vector

Exploitation requires an authenticated user to click a crafted URL delivered by the attacker. The attack vector is network-based, requires high privileges on the attacker side to reach the vulnerable endpoint context, and depends on victim interaction. Once the script executes, the attacker can exfiltrate session tokens, perform actions on behalf of the victim, or pivot to further attacks against the CMS backend.

No verified public proof-of-concept exploit code is available for this vulnerability. Refer to the GitHub Security Advisory GHSA-5fj9-542v-w4rq for maintainer details.

Detection Methods for CVE-2025-59548

Indicators of Compromise

  • Web server access logs showing requests to FileBrowser endpoints containing URL-encoded <script>, javascript:, onerror=, or onload= payloads.
  • Referer headers or user click telemetry indicating navigation to FileBrowser URLs from external or untrusted origins.
  • Unexpected outbound HTTP requests from authenticated administrator browser sessions immediately following FileBrowser page loads.

Detection Strategies

  • Deploy web application firewall (WAF) rules that inspect query strings targeting FileBrowser paths for HTML and JavaScript metacharacters.
  • Correlate DNN authentication events with anomalous administrator actions occurring shortly after FileBrowser access, which may indicate session abuse.
  • Review DNN event logs for administrative changes lacking a corresponding legitimate user workflow.

Monitoring Recommendations

  • Enable verbose HTTP request logging for the DNN FileBrowser module and forward logs to a central analytics platform for retention and querying.
  • Monitor Content Security Policy (CSP) violation reports to identify script execution attempts blocked at the browser layer.
  • Alert on administrative account activity originating from unusual IP addresses or user agents following FileBrowser interactions.

How to Mitigate CVE-2025-59548

Immediate Actions Required

  • Upgrade all DNN Platform instances to version 10.1.0 or later, which contains the vendor patch.
  • Audit administrator and editor accounts for unexpected sessions, password changes, or content modifications since the vulnerable version was deployed.
  • Rotate authentication cookies and session secrets after applying the patch to invalidate any tokens that may have been captured.

Patch Information

The DNN maintainers addressed CVE-2025-59548 in DNN Platform version 10.1.0. The fix is documented in the GitHub Security Advisory GHSA-5fj9-542v-w4rq. Administrators should follow the standard DNN upgrade procedure and validate site functionality after deployment.

Workarounds

  • Restrict access to the FileBrowser module to trusted networks or VPN-only ranges until patching is complete.
  • Deploy a WAF signature that blocks requests to FileBrowser paths containing HTML tags, event handlers, or javascript: URI schemes.
  • Implement a strict Content Security Policy on the DNN site to limit inline script execution and reduce the impact of reflected XSS payloads.
bash
# Example CSP header to restrict inline script execution on DNN sites
Content-Security-Policy: default-src 'self'; script-src 'self'; object-src 'none'; base-uri 'self'; frame-ancestors 'self'

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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