I am continually amazed at the ability of the Bayesian engine to recognize garbage. Those who think they can "poison" a Bayes DB with meaningless text are deluded.
Here's a snip of spamassassin -t on one of today's spams, with nothing but a URL, an inline gif and random words. (SA 2.64) Content preview: URI:http://vn18in04j7i0dddnygdqivvd.nefsegmhb.com/ URI:cid:794dfa4f13@mindspring.com Week organ material sing, dog first. Cut sun pay, story should go, love. Put fight team. Free practice voice body, will. His or room color left hope. Condition thousand minute most more. Night, end, center very soon need street. Though, test can enough, to earth strange. Large own some race book. Far, land five. Since, made from. Strange house forest family. Back lay knew me country tree. [...] Content analysis details: (9.0 points, 6.0 required) pts rule name description ---- ---------------------- -------------------------------------------------- 4.0 BAYES_99 BODY: Bayesian spam probability is 99 to 100% [score: 0.9994] 1.0 MIME_HTML_ONLY BODY: Message only has text/html MIME parts 0.1 HTML_MESSAGE BODY: HTML included in message 1.0 HTML_IMAGE_ONLY_04 BODY: HTML: images with 200-400 bytes of words 1.7 PT_LMS URI: long-medium-short URI 1.2 PRIORITY_NO_NAME Message has priority setting, but no X-Mailer Pierre Thomson BIC
