Rspamd

Rspamd

Rspamd is an open-source spam filtering system that uses various techniques including header and content analysis, statistics, machine learning, and others to identify and filter spam.
Rspamd image
spam filtering bayesian machine-learning open-source

Rspamd: Open-Source Spam Filtering System

An open-source spam filtering system utilizing header and content analysis, statistics, machine learning, and other techniques to identify and filter spam.

What is Rspamd?

Rspamd is a fast, free and open-source spam filtering system. It is designed to work with big volumes of email and can be integrated with common mail servers like Postfix, Exim and others.

Some key features of Rspamd include:

  • Spam filtering using Bayes classification, statistics, machine learning and various rules for analysis of email headers, content and more.
  • Protection against denial of service (DoS) attacks, botnets and other email-based threats.
  • A web interface allowing administrators to monitor filtering statistics, configure rules and control filtering behavior.
  • Support for integration with Redis, Lua scripts and other methods to customize filtering logic.
  • Ability to process high volumes of email very quickly using event-driven programming and multiple processing threads.
  • Modular architecture allowing easy extension with third-party filters.

Overall, Rspamd aims to provide efficient, customizable spam filtering suitable for small, medium and large environments. Its active development and advanced feature set make it a popular open source alternative to commercial antispam software.

Rspamd Features

Features

  1. Statistical filtering
  2. Fuzzy checksums
  3. SURBL integration
  4. DKIM and ARC verification
  5. SPF and DMARC policies
  6. Neural networks for classification
  7. Lua rules scripting
  8. Redis backend

Pricing

  • Open Source

Pros

High performance and scalability

Modular and flexible architecture

Advanced machine learning capabilities

Open source and free

Cons

Complex configuration

Requires more resources than some alternatives

Limited user-friendly interfaces


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