accept authenticated = * ################ # Do some proper spam scanning and add on the score... # # We need to do some work here to feedback to the autowhitelister # such that any POSITIVE feeback given earlier by dint of being repeated email # is turned to NEGATIVE feedback here if it turns out to still be spam warn condition = ${if and { {< {$message_size}{EASY_SPAMASSASSIN_MAX_SIZE}} { <{$acl_m_easy69}{EASY_LIMIT}}}{1}{0}} spam = $acl_m_spam_user:true/defer_ok set acl_m_easy69 = ${eval:$acl_m_easy69 + $spam_score_int} add_header = X-Spam-Score: $spam_score ($spam_bar) add_header = X-Spam-Report: $spam_report set acl_m_spam_assassin_has_run = 1 warn spam = $acl_m_spam_user/defer_ok set acl_m_spam_subject = ${perl{get_spam_subject}} add_header = Subject:$acl_m_spam_subject$h_Subject: add_header = X-Spam-Status: Yes, score=$spam_score, +EASY_IS_SPAM total spam score set acl_m_easy69 = ${eval:$acl_m_easy69 + EASY_IS_SPAM} drop spam = $acl_m_spam_user/defer_ok set acl_m_high_score_drop = ${perl{get_spam_high_score_drop}} logwrite = ESF score is $spam_score_int / $acl_m_high_score_drop condition = ${if >={$spam_score_int}{$acl_m_high_score_drop}} message = High scoring spam message has been dropped logwrite = drop message based on users high-scoring-spam setting ($spam_score_int >= $acl_m_high_score_drop) warn add_header = SpamTally: Final spam score: $acl_m_easy69 drop condition = ${if >{$acl_m_easy69}{EASY_HIGH_SCORE_DROP}{1}{0}} message = Your message was classified as SPAM. Please add more content, cut down on HTML links, use fewer naughty words etc. Also, ask your IT dept to make sure your mailserver has REVERSEDNS, SPF and is not on any black lists. Your score: $acl_m_easy69