SPAMWALL Anti-SpamA Smargasy Inc Exclusive

• Junk Email• Possible Junk Email• Good Email

Smargasy Spamwall uses a sophisticated score based mechanism to decide if an email should be considered junk. Every in-coming and out-going email is assigned a score. Based on this score, Smargasy Spamwall assigns one of three categories to the email:

SPAMWALL ANTI-SPAM

SPAMWALL

Good Email

Suspected Spam

Spam

Spam free inbox

Filtered

Email

Scoring criteriaScoring is done based on several built-in rules. Every rule in the system can take the score either in the positive or negative direction. The final score decides the category of the email. Rules in Smargasy Spamwall can be further divided into two categories:• User defined rules• Self-learning rules

Types of rules in Smargasy Spamwall for Email filtering

IP based rules

Content filters

Custom filters

Virus detection

Challenge response

IP based rulesThese rules act on the sender's IP address and include the following.  RBL - The word "RBL" stands for Real-Time Blackhole List

SPF Check - The word "SPF" stands for Sender Policy Framework

Smargasy Spamwall tries to match the SPF record for in-coming messages and assigns a score if a mismatch is found.Black/White listing

Administrators can either black list or white list IP addresses in Smargasy Spamwall

Content Filters Finger print analysis - Smargasy Spamwall uses a proprietary method of creating a finger print of every

email. This finger print is then compared with future messages to determine if it is part of a bulk-mail campaign.

Image analysis - Embedded images in emails are analyzed for patterns.

Body and Header - Smargasy Spamwall utilizes a two-pass approach to analyze the body of every message. It then compares it with a known list of keywords containing a score. Rules can be specified for the following sections:

• Subject• Body• Attachments• Header

Custom Filter

Custom filters are the most powerful and effective filters used in Smargasy Spamwall to detect junk messages. Often spammers use several tricks to avoid being filtered. These custom filters are specially designed to detect such tricks. We believe that these custom filters are so effective that leaving just these filters on you can eliminate 90% of all junk messages

There are two types of virus detection in Smargasy Spamwall

•Finger print analysis

•Integration with CLAMAV - an open source virus protection

Virus detection

Adaptive filters are self-learning filters that gets smarter by analyzing the patterns of previously sent and received emails.

These filters include:

•Bayesian analysis•Manually marking messages junk or good•Sender history tracking

Adaptive filters

Challenge response is a mechanism where the system sends a challenge email to the sender to verify if it is a valid message. This type of filter is disabled by default but can be enabled if the users want to use it.

Challenge response

SPAMWALL Anti-SpamA Smargasy Inc Exclusive

Barbara DolleschalVice President/CFO

Bryan HarrisonBusiness Development Manager

Andreas DolleschalPresident/CEO

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