2011

Table Of Contents
Friends List / Spammers List
Most people communicate regularly to a group of people or even receive messages
from companies or organizations in the same domain. By using friends or
spammers list, you can easily classify which people you want to receive e-mail
from (friends) no matter what the message contains, or which people you never
want to hear from again (spammers).
Note
We recommend that you add your friends' names and e-mail addresses to the Friends
list. Acronis Internet Security does not block messages from those on the list;
therefore, adding friends helps ensure that legitimate messages get through.
Charset Filter
Many spam messages are written in Cyrillic and / or Asian charsets. The Charset
Filter detects this kind of messages and tags them as SPAM.
Image Filter
Since avoiding heuristic filter detection has become quite a challenge, nowadays'
inbox folders are full with more and more messages only containing an image with
unsolicited content. To cope with this growing problem, Acronis Internet Security
introduced the Image filter that compares the image signature from the e-mail
with those from the Acronis Internet Security database. In case of a match the e-mail
will be tagged as SPAM.
URL Filter
Almost all spam messages include links to various web locations. These locations
usually contain more advertising and the possibility to buy things, and, sometimes,
they are used for phishing.
Acronis Internet Security maintains a database of such links. The URL filter checks
every URL link in a message against its database. If a match is made, the message
is tagged as SPAM.
NeuNet (Heuristic) Filter
The NeuNet (Heuristic) filter performs a set of tests on all the message
components, (i.e. not only the header but also the message body in either HTML or
text format), looking for words, phrases, links or other characteristics of SPAM. Based
on the results of the analysis, it adds a SPAM score to the message.
The filter also detects messages marked as SEXUALLY-EXPLICIT: in the subject
line and tags them as SPAM.
Antispam
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