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* reject cross-origin websocket handshakes Neither /ws nor the jsmpeg websockets checked Origin, and the internal port grants admin to everyone, so any page a LAN user visited could open ws://frigate:5000/ws and send commands or read streams. Both servers now reject a browser handshake whose Origin host matches neither Host nor X-Forwarded-Host, and allow handshakes without an Origin for non-browser clients. nginx now forwards an outer proxy's X-Forwarded-Host instead of overwriting it, so proxies that rewrite Host and the Home Assistant integration's proxy still match. * apply runtime role changes to jsmpeg streams The output process never subscribed to config/auth, so role edits from the Roles UI (requires_restart 0) did not reach it and jsmpeg kept streaming cameras that had been removed from a role until restart. The output process now replaces its auth config on config/auth updates, which the camera and birdseye broadcast threads read through the shared config. * tidy origin check docstring and auth update comment * reject cross-origin go2rtc stream requests in /auth The go2rtc websockets and the webrtc offer POST still accepted any Origin, since go2rtc runs with origin "*" and /auth grants admin on the internal port, so a page on another site could pull live video through a LAN user's browser. nginx now passes Origin, Host, X-Forwarded-Host and Upgrade to /auth, which rejects a websocket upgrade or go2rtc stream request with a foreign Origin before the internal-port early return. The hostname rule moves to frigate/util/origin.py so /auth and the ws4py servers share it. * set Host in the nginx proxy doc examples * drain all queued auth updates in the output process * note that cards must stream through the integration proxy * strip the query before matching go2rtc paths in the origin check
Frigate NVR™ - Realtime Object Detection for IP Cameras
[English] | 简体中文
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
Use of a GPU or AI accelerator is highly recommended. AI accelerators will outperform even the best CPUs with very little overhead. See Frigate's supported object detectors.
- Tight integration with Home Assistant via a custom component
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
- Uses a very low overhead motion detection to determine where to run object detection
- Object detection with TensorFlow runs in separate processes for maximum FPS
- Communicates over MQTT for easy integration into other systems
- Records video with retention settings based on detected objects
- 24/7 recording
- Re-streaming via RTSP to reduce the number of connections to your camera
- WebRTC & MSE support for low-latency live view
Documentation
View the documentation at https://docs.frigate.video
Donations
If you would like to make a donation to support development, please use Github Sponsors.
License
This project is licensed under the MIT License.
- Code: The source code, configuration files, and documentation in this repository are available under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice.
- Trademarks: The "Frigate" name, the "Frigate NVR" brand, and the Frigate logo are trademarks of Frigate, Inc. and are not covered by the MIT License.
Please see our Trademark Policy for details on acceptable use of our brand assets.
Screenshots
Live dashboard
Streamlined review workflow
Multi-camera scrubbing
Built-in mask and zone editor
Translations
We use Weblate to support language translations. Contributions are always welcome.
Copyright © 2026 Frigate, Inc.