AntispamSniper for The Bat! - Professional antispam for The Bat! and Voyager

Features:

The statistical trainable classification algorithm has unique characteristics. It learns your private correspondence, extracts the distinguishing features from messages of different classes and uses that information for effective analysis of other incoming messages. The algorithm improves its classification quality continuously with each new learned message.

The messages from whitelisted senders are not filtered by other methods and recognized as non-spam at once. The whitelist is updated on learning automatically.

The filtering rules are recognizing spam and ham by specific combinations of symbols in a body and headers of the email messages.

Exceptions are the empirical conditions for filtering. For example, large messages are probably non-spam. The presence of certain types of attached files also can be a good sign for recognizing message as non-spam.

Most phishing attacks are blocked automatically.

DNSBL services are used for blocking spam by IP address of the sender.

A list of black words is used for deleting spam by keywords in subject.

The plug-in optionally learns the outgoing messages as non-spam.

The plug-in can delete spam right on the server, using a list of account settings. The accounts for filtering can be added manually or automatically for non-secure connections.

The filtering log allows you to track back the history of classifying messages and training the plug-in.

See the statistics of filtering as a table or as a nice chart.