Qsin wrote:
А има ли начин да се види, какъв е приноса на всеки
ruleset, за идентификацията, на едно писмо като спам?
Явор Атанасов
#spamassassin < path_to_your_spam_message/spam_message
Дава много подробна информация:
##################
Content analysis details: (20.9 points, 5.0 required)
pts rule name description
---- ----------------------
--------------------------------------------------
0.3 RCVD_NUMERIC_HELO Received: contains a numeric HELO
2.1 SUBJ_YOUR_OWN Subject contains "Your Own"
0.9 BE_BOSS BODY: Be your own boss
0.5 HTML_40_50 BODY: Message is 40% to 50% HTML
0.0 HTML_MESSAGE BODY: HTML included in message
0.8 HTML_IMAGE_ONLY_08 BODY: HTML: images with 600-800 bytes of words
0.1 MIME_HTML_ONLY BODY: Message only has text/html MIME parts
0.4 HTML_FONT_INVISIBLE BODY: HTML font color is same as background
0.5 HTML_TITLE_EMPTY BODY: HTML title contains no text
0.1 HTML_FONTCOLOR_RED BODY: HTML font color is red
0.7 MIME_HTML_NO_CHARSET RAW: Message text in HTML without charset
3.0 FORGED_RCVD_NET_HELO Host HELO'd using the wrong IP network
0.5 FORGED_YAHOO_RCVD 'From' yahoo.com does not match 'Received'
headers
2.0 SARE_RAND_1 SARE_RAND_1
0.0 CLICK_BELOW Asks you to click below
4.3 OBFUSCATING_COMMENT HTML comments which obfuscate text
1.1 MIME_HTML_ONLY_MULTI Multipart message only has text/html MIME parts
1.5 SARE_RAND_1H SARE_RAND_1H
2.0 SARE_RAND_8 SARE_RAND_8
###############
--
Velin Getov
Network/System Administrator
Integrated Information Systems Ltd.
1, Elisaveta Bagriana str.
1113 Sofia, Bulgaria
email: vGetov-zIBCH1T7xg0@xxxxxxxxxxxxxxxx
phone: +359(0)2-971-4317
fax: +359(0)2-720-531
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