Hourly updated domains blacklist π«
"Building a service on top of a regularly updated blacklist can provide immense value, not only for individual internet users but also for businesses and cybersecurity professionals. Whatever service you choose to build, ensure it's user-friendly, reliable, and secure."
- Pi-Hole, AdGuard, uBlock Origin:
https://github.com/fabriziosalmi/blacklists/releases/download/latest/blacklist.txt
- Squid: blacklist.txt
- Unbound: unbound_blacklist.txt
- Bind, PowerDNS (RPZ): rpz_blacklist.txt
- Windows, Mac, Linux via the uBlock Origin browser extension (Firefox or others browsers)
- iPhone (Safari + DNS) via AdGuard Pro for IOS
- Android via AdGuard Pro for Android
- PiHole, AdGuard Home and Unbound DNS filtering applications
- Proxies like Squid, firewalls like nftables and WAF like OPNsense
- DNS servers like BIND9 or PowerDNS
- Hourly Updates: Stay protected against emerging threats
- Comprehensive Coverage: Aggregated from the most frequently updated blacklists (more info)
- Broad Compatibility: Works across browsers, firewalls, proxies, and more
- Robust Security: Protect against phishing, spam, scams, ads, trackers, bad websites and more
- Whitelist Capability: Submit one or more domains for whitelisting
- Local Mirror: Set up easily using the Docker image
- Propose additions or removals to the blacklist
- Enhance blacklist or whitelist processing
- Dive into statistics and data analytics
This project owes its existence to numerous dedicated blacklist creators such as:
T145/BlackMirror - Fabrice Prigent (UT1 mirror) - 1hosts - PolishFiltersTeam - ShadowWhisperer - StevenBlack - bigdargon - developerdan - firebog - hagezi - malware-filter - phishfort - phishing.army - quidsup - DandelionSprout - RPiList - What-Zit-Tooya - azet12 - cert.pl - mitchellkrogza - o0.pages.dev - pgl.yoyo.org - lightswitch05 - frogeye.fr - fruxlabs - durablenapkin - digitalside.it - malwareworld.com
and many more.
For a full list, check the complete blacklists URLs.
Code improvements by xRuffKez.
- Machine learning to predict bad domains and rank all domains
2025
- Improve blacklist
- Improve whitelist