Search Results for "source engine"

The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2 are...

Open source DKIM library, MTA filter implementation and associated tools.

SMC anti-spam e-mail milter (plug-in) is an software application designed to significantly reduce the amount of SPAM/UCE (junk-mail) you receive. SMC uses a greylisting like technique to stop the junk-mail and a set of dynamic auto "whitelists" for unknown, but legitimate senders. In purpose of anti-virus protection the program can use very popular Clam AntiVirus engine as a back end.

Metaspam permits the simultaneous use of more then one antispam engine (ASE) with a single interface. ASEs have different sensitivity and specificity profiles and using more than one can enhance our ability to detect spam.

jASEN is a pure java Anti Spam ENgine combining bayesian-like scanning with intelligent email inspection and classification. jASEN is best suited to developers wishing to integrate anti-spam services into an existing server based java email application.

Tarbaby is a new threshold and rate limiting spam prevention tool. The intent is in creating a thresholding and verification engine to be tied into other spam prevention tools.

-- DISCONTINUED! see Homepage -- SpamCruncher is a small Perl-Script, that uses the SpamAssassin-engine to identify spam on remote POP3- or IMAP-Servers. So you only need SpamCruncher if your E-Mail host doesn't offer you free anti-spam services.

PDFassassin is a module for Spamassassin which scans the content of PDF attachments against the spamassassin engine and appends the resulting spam score to the overall score of the email message.