> Yeah, while incorporating it then running make test I've found a > few issues :) > For starters, the \b$word\b is not right in all cases. Want to > trap -ed, -ing, > -es, etc suffixes on the verbs among other things. It's a good > starting base > though.
While you're looking at it, here are a couple more issues - first, isn't the eval test looking for three porn-like words *in the entire body* while the current PORN_3 looks for three words separated by 0-15 characters? Wouldn't this make it more likely to trigger as a false positive? Perhaps a count higher than 3 would be better? Second, the @porn_words Daniel posted doesn't include all of the words that PORN_3 does. It's missing everything from, er, "whore" to "titties" in the current CVS. I'm sure it's better than the current PORN_3 regardless. -- michael moncur mgm at starlingtech.com http://www.starlingtech.com/ "We forfeit three-fourths of ourselves to be like other people." -- Arthur Schopenhauer _______________________________________________________________ Have big pipes? SourceForge.net is looking for download mirrors. We supply the hardware. You get the recognition. Email Us: [EMAIL PROTECTED] _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
