G-Lock SpamCombat's approach to spam detection is based on the following key
methods and technologies:
Complex Filter is a script (or scripts) that uses various functions, procedures,
or
operators to compare any fields from the message headers to the defined value
andthen classifies the email as spam or legitimate depending on the result.
HTML Validator is a filter that parses the HTML part of the incoming email and
checks the HTML tags for validity. If several dubious HTML tags are found, the
message is considered spam.
The Bayesian filter is the most powerful anti-spam filter based on the analysis
of
the message content and mathematical calculation of spam. The advantage of the
Bayesian filter is that it can be trained by each individual user by
categorizing
each received email as either spam or good. Read more about the Bayesian filter
here.
DNSBL filter consists in comparing the senders' IP addresses against a list of
known
spam databases using Public Blacklists (also called DNSBL lists). These
databases are maintained and updated daily.
SpamCombat also provides you with flexible and easy to edit and update blacklist
and whitelist, which helps reduce false positive and false negative results. The
blacklist includes a range of sub-filters that allow catching all most wide
known
spam emails. The whitelist should be created by a user. Here you can add the
email
messages that can never be spam, for instance, newsletters, notification letters
about new updates or software releases, other email news you are subscribed to
receive.