SPAM or JUNK EMAIL

Are your getting too much Spam or Junk Email in your email box, or are you not receiving email from a customer or friend? If you are having any of these problems please report it to our company. (Contact Info)

HOW DO WE FIGHT SPAM

We will attempt to explain the complete process in the following steps.

1. When a piece of email arrives at our servers the address of the sending server is compared to a variety of available "Black lists".  We use different black list from time to time.  To see a full list of the known DNS Black lists that we draw from visit: Declude's Spam DNS Database list of 175 known working lists (as of the preparation of this page).
If an email fails two (2) of these tests it is determined to originate from a "confirmed" spam source and is deleted summarily without further testing.
If it fails one tests it has [SPAM-B] placed at the beginning of the subject line of the message, indicating that a "SPAM-Black List" type issue was detected and then it proceeds to the next test.  The reason for this is so that our users have the ability to easily implement filters within their own email program (Outlook, Eudora, etc...) to recognize this incoming message and deal with it as they choose. If an email passes this tests it also proceeds to the next test.

2. In Addition to the server consulting a set of external Black lists we maintain an internal "White list".  This White list may contain email addresses or whole domain names.  If an email is seen to have originated from one of these sources it is trusted and the email is allowed to proceed to In-Bound rules testing (discussed further below).  Since "spammers" are known to try to send mail that purports to be "from" addresses that might be expected to be in a white lists we keep the actual content of our white list secret and fairly small.

3. If the incoming email was not matched to an address on our White list it next moves to the Content Filters.
The first of these filters looks at the subject line of the message and compares it to an internal list of known phrases.
The second part of this test examines the body of the message for these same phrases.
If one of these phrases is found in either the subject or the body of the message it will have a [SPAM-P], for SPAM-Phrase, placed at the beginning of the Subject line, it will be quarantined from delivery and a bounce message will be generated.
The third part of the content filter examines any HTML content.  You can generally recognize an email with HTML content because it contains colored text, backgrounds and/or contains embedded images and pictures. The filter attempts to detect the use of these type of devices that are commonly used by spammers to try and defeat anti-spam technology.  These type of devices include: "Invalid Tags", "Script Tags", "Deceptive URL's", "Embedded Comments" and "Deceptive Text".  An example of this type of email are the plethora of spam that purports to be from places like eBay, Microsoft and Financial Institutions like Banks and PayPal.  Those emails "look" like they were sent from those sources, however the links they want you to click on go to forms that are actually residing on servers controlled by the spammer in an attempt to steal your personal information.
An email matching any two (2) of these conditions is determined to probably be spam and will have a [SPAM-H], for SPAM-HTML-Features, placed at the beginning of the Subject line, it too will be quarantined from delivery and a bounce message will be generated.

4. Next the announced sending server is compared against a Black list maintained by the vendor that produces our mail server.  If a Black listed domain is found to be referenced with-in the email it will have a [SPAM-URL] placed at the beginning of the Subject line, it too will be quarantined from delivery and a bounce message will be generated.

5. The next to last test extracts 15 words at random from the email and analyzes it against a "weighted" dictionary.  A word not found in this "dictionary" is given a 30% weighted probability of being spam.  If the message reaches a probability of 90% or greater it is identified as spam and it will have a [SPAM-S], for SPAM-Statistics, placed at the beginning of the Subject line, it too will be quarantined from delivery and a bounce message will be generated.

We are not responsible for lost email.

Questions or Comments should be directed to the Customer Service (info@isetc.com)

 

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