Your search for "filtering" returned 43 results:
Bayesian (or Other Statistical) Filtering
Add a new statistical filter test to ORF. The most widely known and used statistical technique is Bayesian filtering, a "learning" email classification method. When properly trained and maintained, statistical filters work very effectively.
However, they require a reliable feed of actual legitimate and spam messages for initial training, so end-users are likely required to participate in the training.
12 comments
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Test IPs Found in URLs Against Online DNS Blacklists
ORF currently checks only the IP (where the email was sent from) against online DNS Blacklists. This new option would allow checking IPs found in URLs as well.
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Email address "display name" validation
Add a new test to blacklist emails in which the "display name" part of the From header address is spoofed, but the domain in the address specification part is not. For example:
From: "John Doe (CEO)" .
The list of display names in the organization could be obtained by ORF from 3 sources: Active Directory, SQL Database, Text File.
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DONE Log Viewer filter definitions based on blacklist/whitelist items
This would allow administrators to create and send filter definitions from the Administration Tool to the Log Viewer by right-clicking list entries and selecting the appropriate command.
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