Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:LSummary
CVE-2025-41749 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Phoenixcontact Fl Switch 2303-8Sp1. Its CVSS base score is 7.1 (High).
Operationally, ranked at the 44th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SI-15 (Information Output Filtering) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-201899
Vulnerability Data
An XSS vulnerability in port_util.php can be used by an unauthenticated remote attacker to trick an authenticated user to click on the link provided by the attacker in order to change parameters available via web based management (WBM). The vulnerability…
more
does not provide access to system-level resources such as operating system internals or privileged functions. Access is limited to device configuration parameters that are available in the context of the web application. The session cookie is secured by the httpOnly Flag. Therefore an attacker is not able to take over the session of an authenticated user.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Requires validation of all inputs to port_util.php, directly blocking the malicious script payloads used in the reflected XSS attack.
Mandates filtering/sanitization of outputs returned by the web application, neutralizing XSS payloads before they execute in the authenticated user's browser.
Enforces access restrictions and authorization checks on configuration changes performed via WBM, limiting the ability of an XSS-triggered action to alter parameters.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target introduction of XSS via coding standards/testing (mostly), yet the single broad outcome leaves many specific neutralization vectors unaddressed (partial).
Patching and EOL replacement can remediate known XSS instances in libraries or frameworks (partial) but do nothing to enforce input neutralization in application code (none).
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure-coding testing and automated code-analysis tools are applied to detect improper neutralization of script-related content during web-page generation.
Knowledge exchange on emerging attack techniques and patches reduces the likelihood that cross-site scripting flaws remain unaddressed in deployed applications.
Operational indicators of compromise for web-application attacks can be incorporated into WAF or input-filtering rules, lowering the likelihood that unsanitized data reaches the browser.
Requiring language-specific secure-coding standards and automated scanning during the SDLC catches missing output encoding or improper neutralization of untrusted data before the software reaches production.
Secure-coding standards, SAST scans and removal of insecure code samples together eliminate the failure to neutralize script content that produces cross-site scripting flaws.
Webpage malware scanning and block-listing of known malicious sites reduce the likelihood that reflected or stored script payloads reach a user’s browser.