This is a message's "spamminess" scoring - based on the sum of the following:
- Locally customisable rule database. Approx 60% accurate on common spam
- Auto training database of recent messages that "look like spam" based on poly and multi symbol statistical word matching. Approx 90% effective
- Auto training database of recent messages that "look like spam" based on message parameters such as URL and content - Approx 40% effective if no local training is done, approx 99.5 effective on trained data.
- Catcher addresses that should never receive genuine mail If mail is received on these addresses it a known a spammer.
- Optional modification of scoring based on ORBS and SPF checks
The auto training databases consist of a base set of rules combined with local training based on messages submitted by the customers as uncaught spam or as a false positive.
Based on this "SpamDetect score" messages can be filtered at a serverwide level or at a per user level allowing individual users to fully customise their filtering & setting up a totally customised "personal antispam policy" based on their chosen level of spam 'tolerance'. One of the more useful techniques is to use the Friends "Challenge / Response" only on messages that look almost certain to be spam.
Custom Filtering rules and Advanced mail rules
A variety of mechanisms exist to setup custom filtering rules, exceptions/overrides to spam filtering and custom mail handling policies at a per user or serverwide level.
Examples of what the per user filtering allows users to is:
- take action (accept / reject / forward / move to special folder) based on message characteristics
- take action (mark/bounce/move to folder/etc) on messages that look like spam
- send challenge response requests to certain messages (look like spam/ from certain domains/etc)
At a domain or serverwide level customised policies can be setup for:
- configuration and customisation of each spam prevention mechanism and default
- mail forwarding, redirection, archiving options
- default per-user rules that are applied if user has no rules defined
- mfilter based advanced mail filtering
If you want to receive or reject any email that has "Model Trains" in the subject line, our system can do it.