Applies to Kaspersky Internet Security 2011
The Anti-Spam component from Kaspersky Internet Security 2011 filters all incoming mail for unwanted mail (spam) and sorts it according to the settings configured by the user.
The Anti-Spam component has two methods to fight undesirable correspondence. Using the first (“precise”) method, Anti-Spam defines a mail as unwanted by distinctive phrases, by undesirable senders (whose addresses are already added to the Anti-Spam database) and by malicious or phishing links.
The second (“expert”) method allows evaluating the possibility of spam presence based on the mail text analysis or its service information.
The Anti-Spam component as an extension module is embedded into the following mail clients:
- Microsoft Office Outlook 2003/2007/2010
- Microsoft Outlook Express (Windows Mail)
- The Bat!
The Anti-Spam plug-in can be embedded to Mozilla Thunderbird version 3.0 and above only in Kaspersky Internet Security 2011 (from the version 188.8.131.520). The Anti-Spam plug-in from earlier versions of the application cannot be embedded to Mozilla Thunderbird version 3.0 and above.
The Anti-Spam plug-in does not support a portable version of Mozilla Thunderbird (Mozilla Thunderbird Portable Edition)!
The mail client Microsoft Office Outlook version 2010 (32-bit) is supported only by Kaspersky Internet Security 2011 version 184.108.40.2060 or above.
The following Anti-Spam features have been added to Kaspersky Internet Security 2011 :
- Use technical header recognition technology: the technology analyzes technical headers when detecting the spam factor. Technical headers contain the information about:
- mail servers the mail was sent through,
- the anti-virus scan status,
- the mail level of importance,
- the program which helped to create the message;
and marks a mail message as Spam.
- Use text recognition technology of the mail body and of the attached files. Heuristic analyzer technology of the body of the message and the documents attached to it. This analyzer scans the text for the spam factor by defining the subject of the text (for example, tourist advertisement), common spam-phrases (for example, buy Viagra) and etc.
- Use image recognition technology to detect spam: the technology analyzes graphic objects attached to the letter to get information from the image when detecting the spam factor (using the signature database update); the technology also analyzes the image for text presence, whose characteristics are also analyzed for spam.
If the image signature attached to the mail is known as a spam sample, this mail is marked as Spam.
Kaspersky Lab experts have implemented a new algorithm of signatures database update for Anti-Spam which considerably decreases reaction to new spam threats.