Minimize Unsolicited Email

Spam Filtering Methods

MISemailserver, MISemailprotector, and MISemailhost spam-identification tactics used include:

header analysis: spammers use a number of tricks to mask their identities, fool you into thinking they've sent a valid mail, or fool you into thinking you must have subscribed at some stage.

text analysis: spam mails often have a characteristic style and some characteristic disclaimers and CYA text.

Many rules are used to grade the header and text.

blacklists: supports many useful existing blacklists, such as mail-abuse.org, ordb.org or others. Additional fees may apply.

Razor: Vipul's Razor is a collaborative spam-tracking database, which works by taking a signature of spam messages. Since spam typically operates by sending an identical message to hundreds of people, Razor short-circuits this by allowing the first person to receive a spam to add it to the database -- at which point everyone else will automatically block it. Additional fees may apply.

Once identified, the mail can then be optionally tagged as spam for later filtering using the user's own mail user-agent application.

MISgroupware adds the following anti-spam tactics:

Black Lists: supports multiple DNSBL services to check for blacklisted senders, known open relays, servers in dialup IP ranges, etc.

White Lists:· per-user and shared whitelists to ensure messages from particular addresses or domains are never classified as spam
All user's contacts are automatically whitelisted.

Advanced Bayesian: filtering to classify messages based on their text content. The filtering engine can be easily trained by the users to improve its accuracy. Learning is as easy as clicking on 'This is spam' and 'This is not spam' links. User-defined spam probability threshold for spam classification

Spam folder: to quarantine messages

Daily Spam Report: to notify every user of how many messages were classified as spam each day (can be disabled)