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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:
>> Hash: SHA1
>> 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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