jmdugan/blocklists

Lists is a curated collection of DNS blocklists, a domain blocklist generator, and a categorized library of domains used for network content filtering. The project provides a command-line pipeline that aggregates upstream sources to build and validate blocklists used to redirect unwanted traffic to null addresses. The project distinguishes itself through a CLI-driven build pipeline that automates the fetching, validation, and daily regeneration of datasets. It organizes domains into discrete functional categories rather than a single monolithic list and exports them in multiple syntaxes, incl

AdRules is a collection of ad-blocking rule sets and DNS filter lists designed to identify and block malicious domains, trackers, and PCDN services. It functions as a DNS sinkhole filter and a malware domain blocklist used by DNS servers and network proxies to stop advertisements and harmful content from loading. The project provides regional network optimization, utilizing rule sets tailored to specific geographic regions, languages, and mobile device conditions to target local advertising networks. The system covers DNS traffic filtering and malware domain blocking through suffix-based dom

AdguardFilters is a collection of curated adblock filter lists, content blocking rulesets, and DNS blocklists. Its primary purpose is to provide the rules necessary to identify and remove advertisements, tracking scripts, and intrusive elements across web browsers and applications. The project includes specialized rules for cosmetic filtering to hide layout gaps and a malware domain database to block phishing and spyware destinations. It provides distinct filtering sets for different regions and purposes, such as social media blocking. The repository covers broad capability areas including m

Surge is a network traffic routing and configuration system designed to categorize and steer network requests using curated rule sets, domain lists, and IP databases. It provides the data structures and filtering logic necessary to manage how application traffic is directed across proxies, direct connections, or regional gateways. The project distinguishes itself through granular traffic identification and steering. It identifies network requests by matching them against system process names, user-agent strings, and geographic IP ranges to apply specific routing policies. This allows for the