Therefore, we view them only as a secondary tool, not the primary protection mechanism. Unfortunately, despite the great number of sites these filters are aware of, they do not cover phishing and malicious sites of the entire Internet well enough. By the way, these filters contain nearly a million sites. This is an open project to maintain a list of domain names that serve YouTube ads. We couldn’t pass up such an opportunity and added the support of Google Safe Browsing filters to Adguard. youtube blacklist pi-hole adguard youtube-ads pihole pihole-blocklists pihole. Several years ago, Google presented an open API that enabled developers to quickly check the status of sites and pages and make sure that they were not on the black list of phishing sites. The period between a site’s appearance on the list and its manual checking is only a few hours. Automatic monitoring of sites using heuristic algorithms.Ī generated list is checked by an analyst and the sites that are classified as phishing sites are saved to our database.Automatic monitoring of several public lists of phishing sites. A number of filter update strategies are used at the same time. We use public sources to automatically create a list of sites that are suspected of phishing. The phishing filter is generated in a semi-automatic mode. dns privacy blacklist compiler blocklist python-script adblock adblock-plus ad-block trackers adblock-list adguard adblockplus adblock-filter adguard-blocklist adguardhome adguard-home filter-compiler blocklist-compiler.
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