Bogofilter is a Bayesian spam filter. In its normal mode of operation, it takes an email message or other text on standard input, does a statistical check against lists of `good` and `bad` words, and returns a status code indicating whether or not the message is spam.
Bogofilter is designed with fast algorithms, uses the Berkeley DB for fast startup and lookups, coded directly in C, and tuned for speed, so it can be used for production by sites that process a lot of mail.
Bogofilter is run by an MDA script to classify an incoming message as spam or ham (using wordlists stored by BerkeleyDB). Bogofilter provides processing for plain text and html.
Bogofilter supports multi-part mime message with decoding of base64, quoted-printable, and uuencoded text and ignores attachments, such as images.
Bogofilter is written in C. Supported platforms: Linux, FreeBSD, Solaris, OS X, HP-UX, AIX, RISC OS, SunOS, OS/2 �
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Requirements:
· Berkeley DB
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