Anti-Spam Settings
Connectivity
POP3/SMTP/NNTP/IMAP traffic: KIS will check e-mails for spam at protocol level.
Additional: Microsoft Office Outlook plug-in: enables/disables the plug-in for Microsoft Outlook e-mail client.
Additional: Microsoft Outlook Express plug-in: enables/disables the plug-in for Microsoft Outlook Express e-mail client.
Additional: Thunderbird plug-in: enables/disables the plug-in for Mozilla Thunderbird e-mail client.
Additional: TheBat! plug-in: enables/disables the plug-in for TheBat! e-mail client.
If the plug-in integration is enabled, some additional program-specific options will be available. For instance, an additional configuration panel will be available in Outlook (Tools -> Options -> Anti-Spam) and Outlook Express and two buttons (to be used to label messages as spam or not spam), will be displayed on the toolbar.
Microsoft Office Outlook
Microsoft Outlook Express
Incoming messages
Open Mail Dispatcher when receiving e-mail through POP3 protocol: allows you to check the list of messages directly on the server, before they have been downloaded to your computer. In this way you can decide whether the received messages should be rejected or accepted. When a message is received through POP3 protocol, the Mail Dispatcher window will popup showing the list of the messages on the server.
Outgoing messages
Train using outgoing e-mail messages: your first 50 outgoing messages will be used to build the white list of trusted senders. Messages sent from whitelisted senders will not be classified as spam.
Exclusions
Do not check Microsoft Exchange Server native messages: if this option is selected, all the e-mails sent within the intranet will not be checked for spam. In order to have this function working properly, it is required that all the users mailboxes are located on a single Exchange server (or different servers linked with X400 connectors) and Microsoft Office Outlook is the default e-mail client.
Anti-Spam Settings -> Algorithms tab
Recognition algorithms
Phrases analysis using the updatable database (Recent terms): all phrases in your incoming messages will be checked against an updatable database of phrases that are typical of spam.
Use “large” updatable database: an extended database of spam phrases will be used.
Message header analysis (PDB technology): the headers of e-mail messages will be analyzed on the base of heuristic rules.
Image recognition (GSG technology): e-mail messages will be checked for spam images.
Self-training text recognition algorithm (iBayes): e-mail messages will be checked by an algorithm based on the Bayes theorem (conditional probabilities). Messages will be classified according to the frequency with which typical spam words occur.
In order to have this feature working at its full potential, a training procedure is required. Click on the train link in the Content Filtering section of the main program window to run the training procedure.
Spam rate
Add label [!!SPAM] to subject if message has spam rating above: if the e-mail message is rated with a probability value greater than this, then it will be labelled as Spam (the [!!SPAM] tag will be added to the Subject field).
Probable spam rate
Add label [??Probable spam] to subject if message has spam rating above: if the e-mail message is rated with a probability value greater than this, then it will be labelled as Probable Spam (the [??Probable Spam] tag will be added to the Subject field).
Click on the Additional… button to access some additional setting options.
The spam rating for the message will be increased when one or more of the selected conditions are verified.
After you checked the desired item, you can also set the rating value to be assigned to the message if the specified condition is verified.
“Not addressed to me”: all the messages sent to an address different than yours will be labelled as spam. If you have checked this box, then click on the My addresses… button to enter your e-mail address(es).
Anti-Spam -> “White” list tab
All the e-mail messages sent from the addresses listed here or containing any phrases listed here, will not be classified as spam. You can enter address masks as well, by using the wildcards * (any sequence of characters) and ? (any single character); for instance, *@kaspersky.com, *@kaspersky*, proof@kaspersky.??? etc. The “White” list can also be imported from Microsoft Outlook and Microsoft Outlook Express address book files and from *.txt or *.csv files.
Anti-Spam -> “Black” list tab
All the e-mail messages sent from the addresses listed here or containing any phrases listed here, will be classified as spam. You can enter address masks as well, by using the wildcards * (any sequence of characters) and ? (any single character).
