Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:HSummary
CVE-2026-32721 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Openwrt Openwrt. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 15th 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 SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-32721 is a stored cross-site scripting (XSS) vulnerability in LuCI, the OpenWrt Configuration Interface, affecting versions prior to 24.10.5 and 25.12.0. The flaw resides in the wireless scan modal, where SSID values from scan results are rendered as raw HTML without sanitization. Specifically, the wireless.js file in the luci-mod-network package passes SSIDs via a template literal to dom.append(), which processes them through innerHTML, enabling injection of arbitrary HTML and JavaScript. It impacts OpenWrt versions newer than 23.05/22.03 up to the patched releases of 24.10.6 and 25.12.1, with a CVSS v3.1 base score of 8.6 (AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H) and is associated with CWE-79.
An attacker can exploit this vulnerability by broadcasting a malicious SSID containing arbitrary HTML/JavaScript that an OpenWrt device will detect during a wireless scan. Exploitation requires a victim—typically an administrator or user with access to the LuCI web interface—to actively open the wireless scan modal, such as when attempting to connect to a Wi-Fi access point or survey nearby channels. Successful execution allows the injected script to run in the context of the victim's browser session, potentially leading to high confidentiality, integrity, and availability impacts due to the changed scope.
The OpenWrt LuCI security advisory (GHSA-vvj6-7362-pjrw) and related GitHub commits detail the fix, which has been applied in LuCI version 26.072.65753~068150b via commits 068150ba5f524ef6b03817b258d31ec310053fd6 and cdce600aaec66f762f18d608c74cbf3abcafe1c7. Mitigation involves updating to these patched versions, as no workarounds are specified in the provided references.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-13382
Vulnerability Data
LuCI is the OpenWrt Configuration Interface. Versions prior to both 24.10.5 and 25.12.0, contain a stored XSS vulnerability in the wireless scan modal, where SSID values from scan results are rendered as raw HTML without any sanitization. The wireless.js file…
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in the luci-mod-network package passes SSIDs via a template literal to dom.append(), which processes them through innerHTML, allowing an attacker to craft a malicious SSID containing arbitrary HTML/JavaScript. Exploitation requires the user to actively open the wireless scan modal (e.g., to connect to a Wi-Fi access point or survey nearby channels), and only affects OpenWrt versions newer than 23.05/22.03 up to the patched releases (24.10.6 and 25.12.1). The issue has been fixed in version LuCI 26.072.65753~068150b.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.1.2V1.3.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover missing or incorrect input neutralization through targeted web-application tests.
Input validation directly enforces neutralization of untrusted data before it reaches web output generation.
Output filtering can catch or sanitize unneutralized script content before it is served to users.
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.