Future versions of wb4spam will include LAF scheme (Learning After Report). LAF modifies the behavior of current spam filtering middleware (such as SpamAssassin). Using this scheme, learning jobs are made after sending a response to the network client reducing the filtering lag. The reduction of filtering lag is useful to address the classification of the message during the SMTP transaction.
We are now implementing this feature and it will be included in future releases of Wirebrush4SPAM.
