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  Message Sniffer

We are glad to announce our partnership with ARM Research Labs, LLC, a company that offers one of the best commercial spam-detecting softwares: Message Sniffer (SNF). It's an intelligent anti-spam scanner that uses advanced pattern recognition and collaborative learning technologies to accurately identify spam. The engine is multi-platform running on Windows, Linux and BSD systems. A unique, downloadable spam database is available via subscription and is updated multiple times daily by spam analysts and intelligent monitoring systems.

Overview

SNF consists of two main parts: a pattern-based email content analyzer and an IP reputation system named GBUdb. The combined power of a real-time collaborative IP reputation system and an adaptive content analyzer with frequent rulebase updates ensures that SNF captures more than 98.5% of spam without additional tuning.

eWall supports both these features and, working together with SNF, doesn't require any maintenance: the SNF updates are downloaded and installed automatically. Moreover, eWall uses a lightspeed TCP-based protocol to communicate with SNF server so testing each email or IP address takes only a few milliseconds.

How to install

You can download SNF executables from ARM Research Labs, LLC web site and install them yourself or take the easy road and have the eWall installation wizard download and install SNF for you. After installation, open the eWall Control Panel, select Options -> MessageSniffer tab and enter your "License ID" and "Authentication" parameters. Click "Test SNF" button to make sure everything is OK. If you want eWall start SNF server at startup (recommended), enable the "Attach to eWall service" option.

How to use

If you create a new eWall agent using the wizard, and select "Message Sniffer" among other protection options, the necessary filters will be created automatically. If you add Message Sniffer to an existing agent, you need to make two simple filters, shown below. If everything is configured properly, you will see the SNF results in your eWall logs.

OnConnect
if sender IP not in white list
  and GBUdb code more than 0
then
  set reply 550 5.7.1 Rejecting due to security policy (GBUdb)
  and disconnect

OnMessage
if sender is not authenticated
  and sender IP not in white list
  and SNF code is more than 10
  and SNF code is less than 64
then
  set reply 550 5.7.0 Unacceptable Content (SNF)
  and delete message


How to get

You can request the Free 30 Day Trial SNF license using the button below. When you satisfied with the results and ready to purchase, as an official SNF reseller we offer you following options:

Order products
Message Sniffer (1-year subscription / renewal) $445.50
eWall Unlimited + Message Sniffer (1-year subscription) $499.95

  

What people say
Bob Escher
RSEGroup Inc.
My company is a computer consulting firm that among other things provides web services including E-mail. In the past prior to last year we used a mail server called Postoffice. It was an excellent program for our needs. As time evolved the company did not support it any longer and it and we could no longer keep up with the spam and the hackers breaking into the mail server. We then turned to other mail servers and along with them finally chosed Mail Filter Pro after looking at several packages. We liked the way it work and it worked well for us. Well Server Side Solutions then came out with Ewall which we found to be easy to work with but a little learning was required. Mail Filter Pro had a module that checked for spam and did what you requested to do with it. Ewall did not have a module similiar to this until he came out with Paranoid. Ewall and Paranoid are a very potent combination to combat spam and viruses. When used with the correct filters and appropriate setting your spam and virus will drop down to being very nominal. Spend the money to buy both products which can be used with virtually any mail server and it will be probably one of the smallest investments in money but the biggest investment in saving time and getting rid of spam
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