Hello,
since I am not the only having this problem according to some other
newsgroup I would like to ask why the Bayes filter does not help.
Ok, the long story: Since yesterday I am bombarded with spam. Those
mails look like bounces of mails I sent, but I didnīt.
As To: adress is some random name + my domain name. The mails get
caught by my catchall function which I changed some minutes ago hoping
this will direct those spam in the right box.
My real question is, I tried to put all of those mails, which seam to
have the same attachment (containing some HTML code and an URL which
shows the v***** ad), into the bayes_db with sa-learn, but this seams
not to work.
I issued the sa-learn command which I used frequently in 2.55 on a
spam-filled mbox-file but as a result I get this:
Learned from 0 message(s) (0 message(s) examined).
for this mbox-file:
# mailutil check /disk/exim/user/bernd/Spam2
37 new message(s) (5 unseen), 37 total in Spam
Debug shows no error messages. My setup is Linux with Perl 5.8.0.
The command I used is: sa-learn --spam --showdots -D --mbox ./Spam
I am sure that the mbox is valid, for test purposes I created a new
mbox with mailutil from the uw-imap2002e package and got the same
result.
The bayes_db itself is approx. 5MB in size:
-rw------- 1 exim exim 630784 Sep 14 02:16 bayes_seen
-rw------- 1 exim exim 5287936 Sep 14 02:16 bayes_toks
I read that there are standard values limiting the size so I put
bayes_expiry_min_db_size 1000000
bayes_expiry_scan_count 50000
into user_prefs but it seems not to help. Deleting the old bayes_db and
the creation of a new one through sa-learn makes also no difference.
What can I do to bring those mails into the bayes_db?
Greetings, Bernd
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