How to deliberately skew Bayes self-learn in SA

chris albert christopher.albert at MCGILL.CA
Tue Aug 12 12:36:06 IST 2003


Quentin Campbell wrote:

>This suggests that it is possible for a spammer to deliberately skew the
>Bayes mechanism.
>
>For example a persistent spammer could create messages which score well
>over 25 but which *also* contain a number of words that are normally
>found only in non-spam messages. If sufficient volume of these messages
>are received at a site then it seems that the Bayes self-learn mechanism
>can be subverted to begin rejecting non-spam messages that contain these
>(innocent) words.
>
>Any comments?
>
>
>
Paul Graham discusses this in a recent article:
http://www.paulgraham.com/ffb.html

Chris



More information about the MailScanner mailing list