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My Vital Statistics!


Mailwasher is a product of Firetrust, a commercial package that offers multiple strategies for the effective control of SPAM.




NEW As an example of what "BLScan and Mailwasher does for me", I attach some screen captures of my own vital statistics.


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BLScan

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BLComp

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BLConv

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BLScan

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BLComp

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BLConv

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BLScan

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BLComp

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BLConv

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BLScan

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BLComp

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BLConv






The image below shows the summary screen.

The Final Summary section shows that in the entire time I have been using Mailwasher, I have received ~22,500 emails with 87% being spam.
The Spam, Legitimate Mail and Action Taken entries reflect a four week period from mid-September through mid-October 2004.


Graphic 1






The second graphic below shows how much junk mail each spam defence detected for the four week period. Looking at this period we can see that the blacklisted addresses/domains is responsible for ~79% of recognized spam. This is summarized in the following table.

Detection
Number
Percentage
 (Approx.)
First Alert!
5
0.20
Bayesian Filter
28
1.15
DNS Blacklist Servers
120
4.91
Probably Spam
0
0.00
Possible Spam
0
0.00
User Defined Filters
364
14.89
Blacklisted
1927
78.85
Total
2444
100%


Graphic 2












The third graphic below shows how much junk mail each spam defence detected for the four week period.

As regards legitimate email, the same table is shown below. We see that 79% of legitimate email is from 'friendly' addresses, ~9% from filters that search for possible friendly incoming email and 12% is detected by bayesian filtering.

Detection
Number
Percentage
 (Approx.)
Friends List
64
79.01
Legitimate Filters
7
8.64
Bayesian Filters
10
12.35
Total
81
100%

Note that the 'Restored' figure is email deleted that I needed to recover from the trash. This figure is the number of 'false positives' incurred by the Blacklist Servers (such as SpamCop, FirstAlert!, SpamHaus etc).

Graphic 3


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BLScan

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BLComp

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BLConv

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The final graphic below shows how much junk mail was detected (in red) versus the incoming mail (green) for the four week period.
Graphic 4





From these graphs I hope you can see that the Blacklist absorbs the lion's share of the credit for spam detection. I am not able to look at these statistics over a greater time period (such as a year) but I have observed some fluctuation in the figures month by month. I have no data to present for this but I estimate my overall blacklist contribution is ~85% on average.


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