CVE-2025-41695
XSS in Phoenixcontact Fl Nat 2008 Firmware ≤ 3.50
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:LSummary
CVE-2025-41695 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 45th 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-2025-201894
Vulnerability Data
An XSS vulnerability in dyn_conn.php can be used by an unauthenticated remote attacker to trick an authenticated user to send a manipulated POST request to the device in order to change parameters available via web based management (WBM). The vulnerability…
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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 dyn_conn.php, directly blocking the malicious script payloads that enable the XSS vector.
Mandates filtering/sanitization of responses returned by the web application, preventing the reflected or stored XSS from executing in the victim's browser.
Enforces that only explicitly authorized requests can alter device parameters, limiting the impact of any XSS-driven POST even if the script executes.
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.