Re[2]: New spammer technique?

2004-07-14 Thread jan . rifkinson
On Tue, 13 Jul 2004, Martin posted to [EMAIL PROTECTED] in regards to New spammer technique? : C2 Any training suggestions for BayesIt? JR IMHO, you don't need bayesit to defeat 99.9% of all spam. I JR rarely see a spam I don't use bayesit. MW That was really helpful... Being less

Re: New spammer technique?

2004-07-14 Thread Mica Mijatovic
-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 ***^\ ._)~~ ~( __ _o Was Wed, 14 Jul 2004, at 08:21:37 -0400, @ @ when [EMAIL PROTECTED] wrote: If there is interest in how to defeat spam w/o bayesit, it has been discussed quite frequently on this list see archives , in

Re[2]: New spammer technique?

2004-07-14 Thread jan . rifkinson
On Wed, 14 Jul 2004, Mica posted to [EMAIL PROTECTED] in regards to New spammer technique? : MM -BEGIN PGP SIGNED MESSAGE- MM Hash: SHA1 MM***^\ ._)~~ MM ~( __ _o Was Wed, 14 Jul 2004, at 08:21:37 -0400, MM@ @ when [EMAIL PROTECTED] wrote: If there is interest

Re: New spammer technique?

2004-07-14 Thread Paul Cartwright
On Wednesday, July 14, 2004, 5:36 PM, you wrote: jrsn First thing is to filter out all msgs that are not addressed to jrsn you. That will take care of the majority of the msgs. this sounds backwards. Here is my idea: 1. known filter for everyone in your AB 2. all lists to separate folders

Re[2]: New spammer technique?

2004-07-14 Thread jan . rifkinson
On Wed, 14 Jul 2004, Paul posted to [EMAIL PROTECTED] in regards to New spammer technique? : jrsn First thing is to filter out all msgs that are not jrsn addressed to jrsn you. That will take care of the majority of the msgs. PC this sounds backwards. Here is my idea: PC 1. known filter

New spammer technique?

2004-07-13 Thread Code 2
I've noticed spam, now, often contains several rows of meaningless, random words, like: annul cripple jacobean hater metric deal prophesy diversify final I assume this is an attempt to foil Bayesian spam filters like BayesIt. If Bayesian filters look for certain recurring words identified as

Re: New spammer technique?

2004-07-13 Thread jan . rifkinson
On Tue, 13 Jul 2004, Code posted to [EMAIL PROTECTED] in regards to New spammer technique? : C2 Any training suggestions for BayesIt? IMHO, you don't need bayesit to defeat 99.9% of all spam. I rarely see a spam I don't use bayesit. -- Jan Rifkinson Ridgefield, CT USA TB! V2.12 RC/4

Re: New spammer technique?

2004-07-13 Thread Martin Webster
-BEGIN PGP SIGNED MESSAGE- Hash: SHA1 Hello [EMAIL PROTECTED], On 13 July 2004, 14:49 -0400 (19:49 local time) [EMAIL PROTECTED] [JR] in mid:[EMAIL PROTECTED] wrote: C2 Any training suggestions for BayesIt? JR IMHO, you don't need bayesit to defeat 99.9% of all spam. I JR rarely

Re: New spammer technique?

2004-07-13 Thread Paul Cartwright
On Tuesday, July 13, 2004, 2:49 PM, you wrote: jrsn IMHO, you don't need bayesit to defeat 99.9% of all spam. I jrsn rarely see a spam I don't use bayesit. and the filter you use?? -- Paul Using The Bat! v2.12 RC/4 on Windows XP 5.1 Build 2600 Service Pack 1 Jun2004 (4.1.418) (avast!

Re: New spammer technique?

2004-07-13 Thread Jim McMaster
On Tuesday, July 13, 2004, 12:49:55 PM, [EMAIL PROTECTED] wrote: On Tue, 13 Jul 2004, Code posted to [EMAIL PROTECTED] in regards to New spammer technique? : C2 Any training suggestions for BayesIt? IMHO, you don't need bayesit to defeat 99.9% of all spam. I rarely see a spam I don't

Re: New spammer technique?

2004-07-13 Thread Andre Wichartz
Hello Code, On 13 Jul 2004 at 11:44:25 -0700 GMT [20:44 CEST] you wrote: C2 I've noticed spam, now, often contains several rows of meaningless, C2 random words, like: C2 annul cripple jacobean hater metric deal prophesy diversify final C2 I assume this is an attempt to foil Bayesian spam

Re: New spammer technique?

2004-07-13 Thread Wolffe
On Tuesday, July 13, 2004 [EMAIL PROTECTED] stated: C I've noticed spam, now, often contains several rows of meaningless, C random words, like: C annul cripple jacobean hater metric deal prophesy diversify final C I assume this is an attempt to foil Bayesian spam filters like C BayesIt.