SpamAssassin自动学习:(请兄弟们帮个忙看一看.

小灰狼

系统是postfix+spam来实现.对垃圾信处理的.

但现在我maillog 里的autolearn不是等于0 在不就是autolearn=failed


不知道为什么..

而运行.

# ./sa-learn --dump magic
0.000 0 3 0 non-token data: bayes db version
0.000 0 0 0 non-token data: nspam
0.000 0 0 0 non-token data: nham
0.000 0 0 0 non-token data: ntokens
0.000 0 0 0 non-token data: oldest atime
0.000 0 0 0 non-token data: newest atime
0.000 0 0 0 non-token data: last journal sync atime
0.000 0 0 0 non-token data: last expiry atime
0.000 0 0 0 non-token data: last expire atime delta
0.000 0 0 0 non-token data: last expire reduction count

还有我local.cf

# How many hits before a message is considered spam.
required_hits 6.0

# Text to prepend to subject if rewrite_subject is used
rewrite_header Subject ***垃圾邮件***

# Encapsulate spam in an attachment
report_safe 1

# Use terse version of the spam report
use_terse_report 0

# Enable the Bayes system
use_bayes 1

# Enable Bayes auto-learning
auto_learn 1

# Enable or disable network checks
skip_rbl_checks 0
use_razor2 1
use_dcc 1
use_pyzor 1

# Mail using languages used in these country codes will not be marked
# as being possibly spam in a foreign language.
# - chinese english
ok_languages zh en

# Mail using locales used in these country codes will not be marked
# as being possibly spam in a foreign language.
ok_locales en zh

# Load Chinese anti-spam rules
# Get from: http://www.ccert.edu.cn/spam/sa/Chinese_rules.cf
include chinese.cf


不知道.哪地方有问题.不能自动学习.请各位老大.指点..


maillog 显示.


Jun 22 09:31:00 freebsd spamd[76285]: result: Y 10 - CN_SUBJECT_10,DOMAIN_RATIO,FORGED_MUA_OUTLOOK,FORGED_OUTLOOK_HTML,FORGED_OUTLOOK_TAGS,HTML_90_100,HTML_MESSAGE,MIME_HEADER_CTYPE_ONLY,MIME_HTML_ONLY,MSGID_FROM_MTA_ID,RCVD_IN_BL_SPAMCOP_NET scantime=11.3,size=1023,mid=<20050622013048.B167224FA4@mail.hcpost.com>;,autolearn=no
Jun 22 10:03:23 freebsd spamd[76286]: result: Y 15 - CN_BODY_138,CN_BODY_17,CN_BODY_201,CN_BODY_205,CN_BODY_220,CN_BODY_250,CN_BODY_264,CN_BODY_3,CN_BODY_313,CN_BODY_315,CN_BODY_319,CN_BODY_361,CN_BODY_371,CN_BODY_378,CN_BODY_407,CN_BODY_425,CN_BODY_543,CN_BODY_55,CN_BODY_621,CN_BODY_65,CN_BODY_690,CN_BODY_7,CN_BODY_8,CN_BODY_856,CN_SUBJECT_334,CN_SUBJECT_41,DNS_FROM_AHBL_RHSBL,FROM_ENDS_IN_NUMS,MIME_BASE64_TEXT,MISSING_MIMEOLE,MSGID_FROM_MTA_ID,RCVD_BY_IP,RCVD_IN_SORBS_DUL,SUBJ_HAS_UNIQ_ID,SUBJ_ILLEGAL_CHARS scantime=13.5,size=14390,mid=<20050622020307.2A37E24F94@mail.hcpost.com>;,autolearn=failed
Jun 22 10:03:25 freebsd spamd[76287]: result: Y 22 - RAZOR2_CF_RANGE_51_100,RAZOR2_CHECK,RCVD_HELO_IP_MISMATCH,RCVD_IN_BL_SPAMCOP_NET,RCVD_IN_DSBL,RCVD_IN_XBL,RCVD_NUMERIC_HELO,SUBJECT_DRUG_GAP_C,URIBL_AB_SURBL,URIBL_JP_SURBL,URIBL_OB_SURBL,URIBL_SC_SURBL,URIBL_WS_SURBL scantime=14.5,size=1109,mid=<NCBBK074ALMIN725IOENFKEPFE484..Hampson@.Com>;,autolearn=failed
Jun 22 10:05:46 freebsd spamd[76288]: result: Y 6 - CN_BODY_138,CN_BODY_389,MIME_BOUND_NEXTPART,MIME_BOUND_RKFINDY,MSGID_FROM_MTA_ID,RAZOR2_CF_RANGE_51_100,RAZOR2_CHECK scantime=5.4,size=5468,mid=<20050622020538.BBDFC24FAA@mail.hcpost.com>;,autolearn=no
Jun 22 10:07:17 freebsd spamd[76289]: result: Y 13 - CHINA_HEADER,CN_BODY_157,CN_BODY_201,CN_BODY_205,CN_BODY_242,CN_BODY_250,CN_BODY_264,CN_BODY_3,CN_BODY_319,CN_BODY_368,CN_BODY_55,CN_BODY_615,CN_BODY_65,CN_BODY_666,CN_BODY_786,CN_BODY_8,CN_SUBJECT_132,CN_SUBJECT_73,HTML_40_50,HTML_FONT_BIG,HTML_MESSAGE,MIME_BASE64_TEXT,MIME_HTML_ONLY,MISSING_MIMEOLE,MSGID_FROM_MTA_ID,RCVD_BY_IP,RCVD_NUMERIC_HELO,SUBJ_ILLEGAL_CHARS scantime=5.9,size=14146,mid=<20050622020709.F36BA24FAA@mail.hcpost.com>;,autolearn=failed
Jun 22 10:07:58 freebsd spamd[76285]: result: . 4 - CN_BODY_241,CN_BODY_508,DNS_FROM_AHBL_RHSBL,FROM_ENDS_IN_NUMS,MSGID_FROM_MTA_ID,RCVD_IN_XBL scantime=11.1,size=831,mid=<20050622020746.546A124FAA@mail.hcpost.com>;,autolearn=no
Jun 22 10:11:40 freebsd spamd[76286]: result: Y 17 - CN_BODY_13,CN_BODY_229,CN_BODY_261,CN_BODY_3,CN_BODY_318,CN_BODY_319,CN_BODY_407,CN_BODY_510,CN_BODY_55,CN_BODY_67,CN_BODY_690,CN_BODY_7,CN_BODY_9,CN_SUBJECT_9,FORGED_MUA_OUTLOOK,FROM_ENDS_IN_NUMS,MSGID_FROM_MTA_ID,RCVD_IN_BL_SPAMCOP_NET,RCVD_IN_XBL scantime=11.5,size=1194,mid=<20050622021127.1424224FAA@mail.hcpost.com>;,autolearn=failed

大麻

SA 的自动学习是有条件的，只有在邮件的权值在 0.1 以下和 12 以上，才会自动学习为 ham 或者 spam，另外，对库的ham和 spam 的数量也一定的标准，系统缺省是200。当然，你可以自己设置上述权值。

另外，自己可以在启动 spamd 的时候加上 -D 调试参数，以便观察具体的运行信息，以供自己调整 local..cf 参数。