Kaspersky Anti-Spam 3.0
7
Second
, the application employs content filtration, i.e. it analyzes the actual
message contents (including the
Subject
header) and attached files
1
. The
product uses to that effect linguistic algorithms based on comparison with
sample messages and search for typical terms (words and word combinations).
Kaspersky Anti-Spam also scans attached images comparing them to the
signatures of known spam messages. Comparison results are also taken into
account when the application decides whether a message should be identified as
spam.
Messages with certain signs of unsolicited mail will be processed in accordance
with the defined filtration policy (see section 2.3 on page 19).
The administrator can configure the applicable filtration policy using the Control
Center interface (see section 2.6 on page 21).
1.1. What's new in version 3.0
Kaspersky Anti-Spam 3.0 preserves all advantages of the previous version
featuring also a number of improvements and additions:
1. New version of the Spamtest filtering engine.
The new filtering engine included into Kaspersky
Anti-Spam 3.0 offers the following benefits:
•
Higher performance and stability.
•
Low RAM requirements.
•
Low volume of web traffic (updates to the content filtration
databases).
2. Improved filtration methods.
Practically all the spam detection methods employed in earlier versions
have been enhanced, including:
•
Improved algorithms used for parsing of HTML objects in mail
messages (increasing the efficiency of detecting various
spammer tricks meant to circumvent filtration systems).
•
Extended and improved subsystem that analyzes the headers of
mail messages.
1
The application scans attachments in plain text, HTML, Microsoft Word, and RTF
formats (see section 2.2.2 on page 17 for details).