SpamAssassin for Win32 / News: Recent posts

SAwin32 has released SpamAssassin for Win32 v3.2.3.3. This port of award-winning spam filter SpamAssassin v3.2.3 to Windows includes command-line tools that can be used on mail servers as well as a personal anti-spam scanner with user-friendly interface. To detect spam, a number of techniques are employed: pattern matching, statistical analysis, DNS blocklists, fingerprint databases, etc. The resident daemon spamd can scan mail in parallal, which enables it to handle high mail load. See details on the project website: http://sawin32.sourceforge.net/

SAwin32 has released SpamAssassin for Win32 v3.2.1.0. This port of award-winning spam filter SpamAssassin to Windows includes command-line tools that can be used on mail servers as well as a personal anti-spam scanner with user-friendly interface. To detect spam, a number of techniques are employed: pattern matching, statistical analysis, DNS blocklists, fingerprint databases, etc. The new version of the daemon spamd can handle higher mail load due to multithreading and scaling. See details on the project website: http://sawin32.sourceforge.net/

SAwin32 has released SpamAssassin for Win32 v3.1.7.0. This port of award-winning spam filter SpamAssassin to Windows includes command-line tools that can be used on mail servers as well as a personal anti-spam scanner with user-friendly interface. To detect spam, a number of techniques are employed: pattern matching, statistical analysis, DNS blocklists, fingerprint databases, etc. The new version runs on all Win32 platforms and contains an improved daemon spamd that can handle higher mail load. See details on the new project website: http://sawin32.sourceforge.net/

SAwin32, a new project on SF.net, makes its first stable release on SF.net: SpamAssassin for Win32 v3.1.5.1. This port of award-winning spam filter SpamAssassin to Windows platform includes command-line tools that can be used on mail servers as well as a personal anti-spam scanner with user-friendly interface. To detect spam, a number of techniques are employed: pattern matching, statistical analysis, DNS blocklists, fingerprint databases, etc. See details on the new project website: http://sawin32.sourceforge.net/