From mboxrd@z Thu Jan 1 00:00:00 1970 Message-ID: <4385.199.98.20.223.1080833219.squirrel@wish> In-Reply-To: <81132473206F3A46A72BD6116E1A06AE479D92@black.aprote.com> References: <81132473206F3A46A72BD6116E1A06AE479D92@black.aprote.com> Subject: RE: [9fans] tactic From: "Joel Salomon" To: 9fans@cse.psu.edu User-Agent: SquirrelMail/1.4.2 MIME-Version: 1.0 Content-Type: text/plain;charset=iso-8859-1 Date: Thu, 1 Apr 2004 10:26:59 -0500 Content-Transfer-Encoding: quoted-printable Topicbox-Message-UUID: 4c0c76e2-eacd-11e9-9e20-41e7f4b1d025 Tiit Lankots said: >> In html mail spam, some of this is in microscopic font - I >> needed to zoom >> to 32x to make out any words. > > My bayesian is trained to trigger on html. I do not receive > non-spam html mail. > Good idea. This, however, was a spamtrap email address - I get *no* non-spam email there. I just got curious about any new tactics, and adding random "conversational" text (probably snarfed off usenet) is a pretty clever on= e - expect the false positive rate to go up once you've trained your filter on a couple of these. --Joel