Re: rule for text with accents

2016-10-21 Thread Pedro David Marco
>If you set "normalize_charset 1" you can just test UTF-8 Thanks a lot RW fool me! it was on the docs and i skimmed it through.. please accept my apologizes... thanks again and have a nice weekned! --Pedro.

Re: Possibly some good news - OT

2016-10-21 Thread David Niklas
On Tue, 11 Oct 2016 10:49:36 -0700 Marc Perkel wrote: > Hi everyone, > > Well, maybe there's some good news. Traditional solutions for stage 4 > lung cancer are not good but on the cutting edge of technology it looks > much better. Below is a letter I sent to a

Re: Custom rule based on AWL score

2016-10-21 Thread John Hardin
On Fri, 21 Oct 2016, Paul Stead wrote: On 21/10/16 18:40, Paul Stead wrote: On 21/10/16 16:22, John Hardin wrote: > I was going to say: you can't write a rule based on the *current* AWL > adjustment because that's calculated after all the rules have hit. But > SA *could* potentially have a

Re: Custom rule based on AWL score

2016-10-21 Thread Paul Stead
On 21/10/16 18:40, Paul Stead wrote: On 21/10/16 16:22, John Hardin wrote: I was going to say: you can't write a rule based on the *current* AWL adjustment because that's calculated after all the rules have hit. But SA *could* potentially have a rule that checks the current historical average

Re: rule for text with accents

2016-10-21 Thread RW
On Fri, 21 Oct 2016 17:56:24 + (UTC) Pedro David Marco wrote: > Hi! > can anyone, please, tell me what is the correct way to write a rule > that matches text with accents when i do not know the enconding?? > shall i write a rule for utf-8,another one for iso-8859-1, etc?? i > hope no...

Re: Custom rule based on AWL score

2016-10-21 Thread Paul Stead
On 21/10/16 18:53, Paul Stead wrote: tagmatch TAGMATCH_TXREP_IP_LOWSCORE _TXREP_IP_MEAN_ /^\-[0-9]{2,}(?:\.[0-9]+)?$/ describe TAGMATCH_TXREP_IP_LOWSCORE TxRep mean score quite low scoreTAGMATCH_TXREP_IP_HIGHSCORE -0.1 Also - typo on score rulename! -- Paul Stead Systems Engineer Zen

rule for text with accents

2016-10-21 Thread Pedro David Marco
Hi! can anyone, please, tell me what is the correct way to write a rule that matches text with accents when i do not know the enconding?? shall i write a rule for utf-8,another one for iso-8859-1, etc?? i hope no... Thanks! -Pedro

Re: Custom rule based on AWL score

2016-10-21 Thread Paul Stead
On 21/10/16 18:40, Paul Stead wrote: A plugin I've developed could be handy here: https://github.com/fmbla/spamassassin-tagmatch tagmatch TAGMATCH_TXREP_IP_HIGHSCORE _TXREP_IP_MEAN_ /^[1-9][0-9]+(?:\.[0-9]+)?$/ describe TAGMATCH_TXREP_IP_HIGHSCORE TXRep mean score quite large score

Re: Custom rule based on AWL score

2016-10-21 Thread Paul Stead
On 21/10/16 16:22, John Hardin wrote: I was going to say: you can't write a rule based on the *current* AWL adjustment because that's calculated after all the rules have hit. But SA *could* potentially have a rule that checks the current historical average that AWL uses... I suggest you file a

Re: Custom rule based on AWL score

2016-10-21 Thread John Hardin
On Fri, 21 Oct 2016, Axb wrote: On 10/21/2016 04:43 PM, Bill Cole wrote: The blocker to that approach has already been stated: they have no mechanism for users to add their contacts to the SA static whitelist. Imo, this you'd normally do at MTA and/or glue level to bypass expensive SA

Re: Custom rule based on AWL score

2016-10-21 Thread John Hardin
On Fri, 21 Oct 2016, Kevin Golding wrote: On Fri, 21 Oct 2016 11:48:41 +0100, simplerezo wrote: > very unknown users can't by definition hit AWL. That's why my wanted rule is score(AWL) > -1 : all users that have not yet send enough not-spam mails can not, for example,

Re: Custom rule based on AWL score

2016-10-21 Thread Axb
On 10/21/2016 04:43 PM, Bill Cole wrote: The blocker to that approach has already been stated: they have no mechanism for users to add their contacts to the SA static whitelist. Imo, this you'd normally do at MTA and/or glue level to bypass expensive SA content scanning and save time &

Re: Custom rule based on AWL score

2016-10-21 Thread Bill Cole
On 20 Oct 2016, at 12:14, Ian Zimmerman wrote: Whitelisted senders get a _huge_ bonus (I think it's 100 points by default, maybe customizable), so they won't be affected if you do it right. The blocker to that approach has already been stated: they have no mechanism for users to add their

Re: Custom rule based on AWL score

2016-10-21 Thread Bowie Bailey
On 10/21/2016 6:48 AM, simplerezo wrote: it also helps frequent spammers known to spam to prevent false negative. Absolutely. very unknown users can't by definition hit AWL. That's why my wanted rule is score(AWL) > -1 : all users that have not yet send enough not-spam mails can not, for

Re: R: Custom rule based on AWL score

2016-10-21 Thread Karol Augustin
On 20/10/16 17:44, Nicola Piazzi wrote: Why not try my powerful plugin to reduce score of known users ? Is based on people that answer to us and in my case, after 3 week of learning, it HIT 70% of incoming messages that are absolutely ham Looks really interesting. How it behaves in ipv6

Re: Custom rule based on AWL score

2016-10-21 Thread RW
On Fri, 21 Oct 2016 03:48:41 -0700 (MST) simplerezo wrote: > > it also helps frequent spammers known to spam to prevent false > > negative. > > Absolutely. > > > very unknown users can't by definition hit AWL. > > That's why my wanted rule is score(AWL) > -1 : all users that have > not yet

Re: Custom rule based on AWL score

2016-10-21 Thread simplerezo
> it also helps frequent spammers known to spam to prevent false negative. Absolutely. > very unknown users can't by definition hit AWL. That's why my wanted rule is score(AWL) > -1 : all users that have not yet send enough not-spam mails can not, for example, send me invoices as zip attachment

Re: Custom rule based on AWL score

2016-10-21 Thread Matus UHLAR - fantomas
On 20.10.16 08:34, simplerezo wrote: My understanding is that AWL is helping frequent senders who are known to not send spam to "reduce" their spam score, preventing false positive. it also helps frequent spammers known to spam to prevent false negative. That's exactly what I want to rely