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SPAMWALL Anti-Spam
A Smargasy Inc Exclusive
• Junk Email
• Possible Junk Email
• Good Email
Smargasy Spamwall uses a
sophisticated score based
mechanism to decide if ...
SPAMWALL ANTI-SPAM
Spam free inbox
Scoring criteria
Scoring is done based on several built-in rules.
Every rule in the system can take the score either
in th...
Types of rules in Smargasy Spamwall for Email filtering
 IP based rules
 Content filters
 Custom filters
 Virus detect...
IP based rules
These rules act on the sender's IP address and include the following.
 RBL - The word "RBL" stands for Rea...
Content Filters
 Finger print analysis - Smargasy Spamwall uses a proprietary method of creating a finger print of every
...
Custom Filter
Custom filters are the most powerful and effective filters used in Smargasy Spamwall to detect junk
messages...
There are two types of virus detection in Smargasy
Spamwall
•Finger print analysis
•Integration with CLAMAV - an open sour...
Adaptive filters are self-learning filters that gets
smarter by analyzing the patterns of previously sent
and received ema...
Challenge response is a mechanism where the
system sends a challenge email to the sender to
verify if it is a valid messag...
SPAMWALL Anti-Spam
A Smargasy Inc Exclusive
Barbara Dolleschal
Vice President/CFO
Bryan Harrison
Business Development Manager
Andreas Dolleschal
President/CEO
1-(239)...
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Spamwall

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Email Anti-Spam software for your business. Keep those unwanted emails at bay and protect your business. We have one of the best and most secure Email filtering software programs on the market. Call us today.

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Spamwall

  1. 1. SPAMWALL Anti-Spam A Smargasy Inc Exclusive
  2. 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. 3. SPAMWALL ANTI-SPAM Spam free inbox
  4. 4. 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
  5. 5. Types of rules in Smargasy Spamwall for Email filtering  IP based rules  Content filters  Custom filters  Virus detection  Challenge response
  6. 6. 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
  7. 7. 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
  8. 8. 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
  9. 9. There are two types of virus detection in Smargasy Spamwall •Finger print analysis •Integration with CLAMAV - an open source virus protection Virus detection
  10. 10. 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
  11. 11. 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. 12. SPAMWALL Anti-Spam A Smargasy Inc Exclusive
  13. 13. Barbara Dolleschal Vice President/CFO Bryan Harrison Business Development Manager Andreas Dolleschal President/CEO 1-(239)214-8592

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