CVE-2026-61875 openwrt CVE debrief

Who should care

Administrators and users of luci-app-upnp, especially those with exposed UPnP interfaces, should be aware of this vulnerability and take steps to mitigate it. This includes applying vendor patches or updates as soon as available, limiting access to UPnP interfaces to trusted networks and users, and monitoring UPnP and Status pages for suspicious activity.

Technical summary

The vulnerability exists in luci-app-upnp, which does not properly encode user-supplied input from the NewPortMappingDescription field in UPnP IGD AddPortMapping SOAP requests. This allows unauthenticated LAN clients to inject malicious JavaScript, which is stored and rendered without output encoding. When administrators view the UPnP or Status pages, the payload is executed. The vulnerability has a CVSS score of 8.7 and is considered high-severity.

Defensive priority

High

Recommended defensive actions

• Apply vendor patches or updates as soon as available
• Limit access to UPnP interfaces to trusted networks and users
• Monitor UPnP and Status pages for suspicious activity
• Consider implementing additional security controls, such as input validation and output encoding
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-12T12:16:46.260Z and has not been modified since then. The NVD entry is currently in the 'Received' status. This information is based on the supplied source corpus and may not reflect the current status of the vulnerability. Defenders should verify the affected scope and severity with the vendor or other trusted sources. The CVE record does not provide detailed information about the vulnerability, so defenders may need to review other sources for more information.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.