I have installed and configured and trained my spamassassin and all seemed to work just fine. Then when I tried to deploy it via spamc I get partial results.
Why is this happening?
I like spamc for the fact i can get it to output just the report but it seems to be missing checks: SPF, DKIM, BAYES.
I have not managed to figure it out or find any similar reports online. This has been going on for days now and I am out of ideas.
spamassassin works:
# spamassassin -t < /path/to/spam.eml
Content analysis details: (3.3 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
0.0 FSL_HELO_NON_FQDN_1 FSL_HELO_NON_FQDN_1
0.7 SPF_SOFTFAIL SPF: sender does not match SPF record (softfail)
0.8 BAYES_50 BODY: Bayes spam probability is 40 to 60%
[score: 0.5000]
0.5 MISSING_MID Missing Message-Id: header
0.0 HELO_NO_DOMAIN Relay reports its domain incorrectly
1.4 MISSING_DATE Missing Date: header
spamc only partial:
# spamc -R < /path/to/spam.eml
Content analysis details: (1.5 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
0.0 FSL_HELO_NON_FQDN_1 FSL_HELO_NON_FQDN_1
0.1 MISSING_MID Missing Message-Id: header
0.0 HELO_NO_DOMAIN Relay reports its domain incorrectly
1.4 MISSING_DATE Missing Date: header
I figured the same problem.
The bayes databases are saved in the home directory of the user which runs spamassassin:
bayes_path /path/filename (default: ~/.spamassassin/bayes)
This is the directory and filename for Bayes databases. Several databases will be created, with this as the base directory and filename, with _toks, _seen, etc. appended to the base. The default setting results in files called ~/.spamassassin/bayes_seen, ~/.spamassassin/bayes_toks, etc.
By default, each user has their own in their ~/.spamassassin directory with mode 0700/0600. For system-wide SpamAssassin use, you may want to reduce disk space usage by sharing this across all users. However, Bayes appears to be more effective with individual user databases.
According to this wiki: http://wiki.apache.org/spamassassin/SiteWideBayesSetup , I added in /etc/mail/spamassassin/local.cf the following two lines:
bayes_path /var/spamassassin/bayes_db/bayes
bayes_file_mode 0777
and I created the needed directory: /var/spamassassin/bayes_db/
Please note that the last "bayes" in the path is the prefix for the database files (bayes_journal, bayes_seen, etc.)
Ok, after I restared the spamassassin, nothing happened. No Bayes test yet. Hmm...
So, I copied the already created databases from /root/.spamassassin/* to /var/spamassassin/bayes_db
Update: It seems that I had to change the permissions to these 4 bayes_* files to 0666. Otherwise the autolearner will not save the new data. I don't agree with 0666 permission, but I hope I will find another solution soon.
I ran another test in spamc and... I got the Bayes!! :)
Results for spamassassin
# spamassassin -t -D spf,dkim < /path/to/spam.eml
Content analysis details: (8.2 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
3.5 BAYES_99 BODY: Bayes spam probability is 99 to 100%
[score: 1.0000]
1.3 RCVD_IN_BL_SPAMCOP_NET RBL: Received via a relay in bl.spamcop.net
[Blocked - see <http://www.spamcop.net/bl.shtml?141.146.5.61>]
1.0 DATE_IN_PAST_12_24 Date: is 12 to 24 hours before Received: date
-0.0 SPF_PASS SPF: sender matches SPF record
1.3 TRACKER_ID BODY: Incorporates a tracking ID number
0.2 BAYES_999 BODY: Bayes spam probability is 99.9 to 100%
[score: 1.0000]
0.0 HTML_MESSAGE BODY: HTML included in message
0.8 RDNS_NONE Delivered to internal network by a host with no rDNS
Results for spamc:
# spamc -R < /path/to/spam.eml
Content analysis details: (8.2 points, 5.0 required)
pts rule name description
---- ---------------------- --------------------------------------------------
1.3 RCVD_IN_BL_SPAMCOP_NET RBL: Received via a relay in bl.spamcop.net
[Blocked - see <http://www.spamcop.net/bl.shtml?141.146.5.61>]
3.5 BAYES_99 BODY: Bayes spam probability is 99 to 100%
[score: 1.0000]
1.0 DATE_IN_PAST_12_24 Date: is 12 to 24 hours before Received: date
-0.0 SPF_PASS SPF: sender matches SPF record
1.3 TRACKER_ID BODY: Incorporates a tracking ID number
0.2 BAYES_999 BODY: Bayes spam probability is 99.9 to 100%
[score: 1.0000]
0.0 HTML_MESSAGE BODY: HTML included in message
0.8 RDNS_NONE Delivered to internal network by a host with no rDNS
Content analysis details: (8.2 points, 5.0 required)
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