Feature Requests

Your search for "filtering" returned 43 results:

Bayesian (or Other Statistical) Filtering

| Last activity: 4 months ago
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.
2

Test IPs Found in URLs Against Online DNS Blacklists

| Last activity: 5 months ago
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.
27

Automatic Configuration Update from Vamsoft

| Last activity: 11 months ago
Add a new feature that automatically updates the ORF configuration with the latest recommended settings from Vamsoft. This would reduce the administration overhead and keep the configuration up to date with the latest threats.
3

Email address "display name" validation

| Last activity: 1 year ago
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.
29
hnp1 | hnp2