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Subject+From filter (filtering based on the first few lines of the message The future I can add more and more heuristics the same way I have added my Re-learn the one which did not agree with the rest). To compute the final value from all of them (and probably automatically Statistical filters work: I now have three filters instead of two, and I have However, there is a problem: I need to change the whole system of how my Were correctly classified by my Subject+From filter. So far it seems all messages classified by the previous filters as "unsure" So I had an idea: addĪ third statistical filter, learned from the From:Īnd Subject: lines, mime-decoded and written in UTF-8. Sender's name and the Subject line, I can classify it. they have a different color telling me that my statistical filtersĭid not agree with each other, and from the color, the I have discovered that I can clasify those "unsure" messages just by looking at Text of the spam message, this is sometimes not sufficient. The FreeBSD mailing list, accomodated by the image with the (OCR-obfuscated) However, with spams constructed as an excerpt from
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I use a similarĪpproach to the one described by Milan Zamazal in his article at LinuxZone:īy a different method. Over 100 000 spams) made me reconsider my antispam strategy.
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The increased amount of spam in the last few months (this month I had