{"id":101065,"date":"2021-08-19T22:22:37","date_gmt":"2021-08-19T20:22:37","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/dostupna-sistema-filtraczii-spama-rspamd-3-0"},"modified":"2021-08-19T22:22:37","modified_gmt":"2021-08-19T20:22:37","slug":"dostupna-sistema-filtraczii-spama-rspamd-3-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/en\/blog\/news\/dostupna-sistema-filtraczii-spama-rspamd-3-0","title":{"rendered":"The Rspamd 3.0 spam filtering system is now available","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

The release of the Rspamd 3.0 spam filtering system has been announced, providing tools to evaluate messages based on various criteria, including rules, statistical methods, and blacklists, which are used to generate the overall weight of the message for making blocking decisions. Rspamd supports nearly all features implemented in SpamAssassin and includes several enhancements that enable email filtering to be approximately 10 times faster than SpamAssassin while also delivering better quality filtering. The system's code is written in C and is distributed under the Apache 2.0 license. <\/p>\n

Rspamd is built using an event-driven architecture and is initially designed for use in high-load systems, allowing the processing of hundreds of messages per second. The rules for identifying spam characteristics are highly flexible and can be expressed in simple forms using regular expressions, while more complex situations can be written in Lua. Functionality expansion and the addition of new types of checks are implemented through modules that can be created in C and Lua. For example, there are modules available for sender verification using SPF and sender authentication via DKIM, as well as querying DNSBL lists. domain<\/a> An administrative web interface is provided to simplify configuration, rule creation, and statistics tracking. <\/p>\n

The significant version increase is associated with substantial changes to the internal architecture, particularly regarding HTML parsing, which has been completely rewritten. The new parser analyzes HTML using a DOM model and constructs a tag tree. The new release also introduces a CSS parser that, combined with the new HTML parser, allows for the correct extraction of data from emails with modern HTML markup, distinguishing between visible and invisible content. Notably, the parser code is written not in C but in C++17, requiring a compiler that supports this standard for building. <\/p>\n

Other innovations: <\/p>\n