Re: ALL_TRUSTED Overriding Bayes

2007-05-16 Thread Duane Hill

On Wed, 16 May 2007, Clay Davis wrote:


I only have one internal network 10.0.0.0 (mask: 255.255.255.0).

I have attached a few of the message that scored like this.


Do you have any trusted_networks or internal_networks set up in SA's 
local.cf? If not, SA would be trying to guess your internal/trusted 
networks and by the looks is guessing incorrectly.


Here is the link in the wiki that describes the trust path:

  http://wiki.apache.org/spamassassin/TrustPath?highlight=%28network%29


Re: ALL_TRUSTED Overriding Bayes

2007-05-16 Thread Duane Hill

On Wed, 16 May 2007, Clay Davis wrote:


Hi gang:

I am getting a bunch of messages that are passing through my SA setup with the 
following scores:

pts rule name  description
 -- --
0.0 SUBJ_FOR_ONLY  Subject contains "For Only"
-3.3 ALL_TRUSTEDDid not pass through any untrusted hosts
0.0 HTML_IMAGE_RATIO_02BODY: HTML has a low ratio of text to image area
0.0 HTML_90_100BODY: Message is 90% to 100% HTML
0.5 HTML_IMAGE_ONLY_24 BODY: HTML: images with 2000-2400 bytes of words
0.0 HTML_MESSAGE   BODY: HTML included in message
4.5 BAYES_99   BODY: Bayesian spam probability is 99 to 100%
   [score: 1.]
0.2 MIME_HTML_ONLY BODY: Message only has text/html MIME parts
0.6 SARE_UNSUB38D  RAW: SARE_UNSUB38D


As you can see, Bayes knows they are spam but the "ALL_TRUSTED" rule is 
discounting enough to counter.  What's the best way to nail these bastards?


How do you have your trusted/internal networks set up? According to your 
SA install, the message came from a 100% trusted source (i.e. all received 
headers were trusted).


ALL_TRUSTED Overriding Bayes

2007-05-16 Thread Clay Davis
Hi gang:

I am getting a bunch of messages that are passing through my SA setup with the 
following scores:


 pts rule name  description
 -- --
 0.0 SUBJ_FOR_ONLY  Subject contains "For Only"
-3.3 ALL_TRUSTEDDid not pass through any untrusted hosts
 0.0 HTML_IMAGE_RATIO_02BODY: HTML has a low ratio of text to image area
 0.0 HTML_90_100BODY: Message is 90% to 100% HTML
 0.5 HTML_IMAGE_ONLY_24 BODY: HTML: images with 2000-2400 bytes of words
 0.0 HTML_MESSAGE   BODY: HTML included in message
 4.5 BAYES_99   BODY: Bayesian spam probability is 99 to 100%
[score: 1.]
 0.2 MIME_HTML_ONLY BODY: Message only has text/html MIME parts
 0.6 SARE_UNSUB38D  RAW: SARE_UNSUB38D


As you can see, Bayes knows they are spam but the "ALL_TRUSTED" rule is 
discounting enough to counter.  What's the best way to nail these bastards?

Thanks,
Clay