1.
SPAMWALL Anti-Spam
A Smargasy Inc Exclusive

2.
• 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:

3.
SPAMWALL ANTI-SPAM
Spam free inbox

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Scoring criteria
Scoring 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

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Types of rules in Smargasy Spamwall for Email filtering
 IP based rules
 Content filters
 Custom filters
 Virus detection
 Challenge response

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IP based rules
These 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

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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

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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

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There are two types of virus detection in Smargasy
Spamwall
•Finger print analysis
•Integration with CLAMAV - an open source virus
protection
Virus detection

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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

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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

12.
SPAMWALL Anti-Spam
A Smargasy Inc Exclusive

13.
Barbara Dolleschal
Vice President/CFO
Bryan Harrison
Business Development Manager
Andreas Dolleschal
President/CEO
1-(239)214-8592