Feature Requests

Bayesian (or Other Statistical) Filtering

| Last activity: 16 hours 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

Quarantine (Web-Based)

| Last activity: 16 hours ago
Offer a new action to move spam-flagged emails directly into a quarantine. The quarantine could be reviewed by the end-user using a dedicated local website and falsely spam-flagged emails could be released from the quarantine. This would also allow the end-user to manage her own sender whitelists and blacklists.
1

Email address "display name" validation

| Last activity: 6 months 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

SMTP-based Recipient Validation

| Last activity: 6 months ago
Add an SMTP-based validation data source to the Recipient Validation Test of ORF. This source would connect to a specific SMTP server and attempt to validate the recipient real-time using the RCPT command. This would enable the Recipient Validation test to work with third-party MTAs without having to compile and maintain a list of valid recipients for the SQL or the Text File sources.
26
hnp1 | hnp2