Re: Spam and spam filtering, a problem new to me
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On 09/25/06 16:13, Peter Teunissen wrote:
> On 25-sep-2006, at 22:55, Ron Johnson wrote:
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>> On 09/25/06 15:14, Paul E Condon wrote:
>>> Over tha past few weeks, I have started receiving spam email that
>>> contains text the is all well formed words, but doesn't make sense as
>>> a spam message, or as any other sort of communication. I think I have
>>> found what is going on:
>>> The email *does* contain a message. It is contained in a .gif or .png
>>> or other image format file. These are not pictures of naked ladies,
>>> but images of text that touts various penny stocks. If I didn't use
>>> mutt, I might not have had so much puzzlement over them. I suppose
>>> with Outlook all the user sees is the image, which is clearly spam,
>>> but the user doesn't see what the spam filter sees, so, it seems, no
>>> amount of filter fiddling will protect against this. What to do? Are
>>> there new filtering techniques beyond spamassassin?
>> They are specifically designed to get around SA's traditional
>> filtering process. Using sa-learn to train the Bayesian filter,
>> along with the regular filters, helps a lot.
> I've been NOT feeding them to sa-learn, since I thought they would mess
> up spamassassins bayesian filter. If it trains itself on random non-spam
> words, couldn't it make the bayesian filter less effective or even start
> generating more false positives?
You'd think, wouldn't you. However, I've had no issues with false
positives, even after setting the threshold down to 4.2.
Ron Johnson, Jr.
Jefferson LA USA
Is "common sense" really valid?
For example, it is "common sense" to white-power racists that
whites are superior to blacks, and that those with brown skins
are mud people.
However, that "common sense" is obviously wrong.
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