Your search for "filtering" returned 43 results:
Bayesian (or Other Statistical) Filtering
Add a new statistical filter test to ORF. The most widely known and used statistical technique is Bayesian filtering, a "learning" email classification method. When properly trained and maintained, statistical filters work very effectively.
However, they require a reliable feed of actual legitimate and spam messages for initial training, so end-users are likely required to participate in the training.
12 comments
2
DONE Do Not Greylist Email on SPF Pass
Add option to skip the Greylisting test if the sender passes the SPF test (SPF Pass result).
DONE Configurable Action for SPF Neutral
For specific, user-defined domains, allow blacklisting the email even if the SPF evaluation ends with SPF Neutral result. This would make the SPF test actually usable for some
major domains that have not been progressed to SPF SoftFail or Fail yet.
DONE Directory Harvest Attack (DHA) Protection
Add a new test to ORF that would temporarily reject all delivery attempts if the sending IP address is sending to more than "X" (user-configurable) non-existent recipients within in a specified period of time. This would provide some protection against poorly distributed or non-distributed Directory Harvest Attacks.