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Hello Matt,

Thursday, July 31, 2003, 5:40:06 PM, you wrote:

>>As you can see there's extensive use of a white font color which
>>obscures the many random words that have been inserted in order to
>>subvert signature checking.

MK> Actually, that kind of behavior is intended more to be bayes poison
than a 
MK> razor avoider (although it's good at both). They've picked a random
set of 
MK> words which are mostly "higher education" type words which will
usually 
MK> only appear in serious emails. Since those words will likely be
strong 
MK> non-spam tokens in a bayes database, they've just earned themselves a
bayes 
MK> equivalent of whitelisting.


MK> How often have you seen spam make use of the words like tarpaulin,
scarify, 
MK> ethology, and posterior? Heck, scarify wasn't a word I even knew
existed :)

MK> Also of note it looks like the thing has some bugs in it.. it would
appear 
MK> that $RANDOMIZE is intended to be replaced with random words, but in
a few 
MK> spots, a $RANDOMIZE got split with a newline in between. It might be 
MK> interesting to do a rule to look for it which has some \s?'s added
in.

MK> Something like this rule (note: untested, just conceptual off the top
of my 
MK> head)

MK> body LOCAL_RANDOMIZE_SPLIT /\$R\s?A\s?N\s?D\s?O\s?M\s?I\s?Z\s?E/

Your rule worked for me -- only one match, but yes, it was a white on
white spam (my HTML view didn't show ANY text or link).

I've merged it with my other random text body rule:
body     L_b_RandomText 
/(\%RANDOM_TEXT|\%RANDOM_WORD|\$R\s?A\s?N\s?D\s?O\s?M\s?I\s?Z\s?E)/i
describe L_b_RandomText  Body contains random-text spamsign
score    L_b_RandomText  9.1

(My required_hits is 9)

Also, since a purpose for these randomized emails is to garbage up the
Bayes database, and since these spam, when auto-learned on my system, are
scored in the range 15-25, I've now set
> bayes_auto_learn_threshold_spam 35.0

That's low enough to still auto-learn a lot of spam (2400 messages in my
corpus since end of May), but high enough to avoid spam with these
anti-bayes tricks.

Bob Menschel

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