A collection of metadata repositories for NextDNS security, privacy, and parental control features.
NextDNS Metadata is a collection of open-source repositories containing the data behind NextDNS's security, privacy, and parental control features. It provides categorized blocklists and datasets for DNS-level filtering, enabling protection against malware, trackers, and unwanted content. The project organizes data into dedicated repositories for specific filtering categories and techniques.
Network administrators, security professionals, and developers implementing DNS-based filtering solutions or building privacy-focused applications.
It offers transparent, community-maintained datasets for reliable DNS filtering, with specialized lists for various threat categories and bypass methods. The modular repository structure allows focused contributions and easy integration into security tools.
This repository contains the data behind our Security, Privacy and Parental Control features.
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The project is openly developed with community contributions, ensuring data integrity and auditability as stated in its philosophy of transparent, community-driven curation.
Offers dedicated blocklists for specific threats like malware, trackers, and parental control categories, enabling precise and effective DNS-level filtering across diverse use cases.
Data is split into separate repositories (e.g., for piracy, bypass methods), allowing selective integration and easier maintenance of only needed components.
Includes documentation on DNS bypass techniques, such as in the dedicated bypass-methods repository, aiding in the development of more robust filtering systems.
Some datasets, like certain parental control categories, are marked as internalized and not publicly accessible, limiting transparency and completeness for users.
With data spread across multiple GitHub repositories, users must handle integration, updates, and synchronization from several sources, increasing setup complexity.
As a community-driven project without formal SLAs, update schedules are irregular, which could lead to stale data if not actively monitored by users.