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author | Carsten Rosenberg <c.rosenberg@heinlein-support.de> | 2021-01-07 18:45:45 +0100 |
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committer | Carsten Rosenberg <c.rosenberg@heinlein-support.de> | 2021-01-07 18:46:43 +0100 |
commit | 1f806591d6c9a40fa03bc436bb5472230b4731c9 (patch) | |
tree | 69578ef6064fb1a976a074da7ac1fe18ab52fdd9 /lualib | |
parent | 13d60df725ae1943d2085fb2c66ca24154352b6d (diff) | |
download | rspamd-1f806591d6c9a40fa03bc436bb5472230b4731c9.tar.gz rspamd-1f806591d6c9a40fa03bc436bb5472230b4731c9.zip |
[Minor] external_services - spamassassin - result matching
thx to Marc Dierksen
Diffstat (limited to 'lualib')
-rw-r--r-- | lualib/lua_scanners/spamassassin.lua | 18 |
1 files changed, 8 insertions, 10 deletions
diff --git a/lualib/lua_scanners/spamassassin.lua b/lualib/lua_scanners/spamassassin.lua index 715a5e322..d50b37483 100644 --- a/lualib/lua_scanners/spamassassin.lua +++ b/lualib/lua_scanners/spamassassin.lua @@ -161,16 +161,13 @@ local function spamassassin_check(task, content, digest, rule) local symbols local spam_score for s in header:gmatch("[^\r\n]+") do - if string.find(s, 'Spam: .* / 5.0') then - local pattern_symbols = "(Spam:.*; )(%-?%d?%d%.%d)( / 5%.0)" - spam_score = string.gsub(s, pattern_symbols, "%2") - lua_util.debugm(rule.N, task, '%s: spamd Spam line: %s', rule.log_prefix, spam_score) - end - if string.find(s, 'X%-Spam%-Status') then - local pattern_symbols = "(.*X%-Spam%-Status.*tests%=)(.*)(autolearn%=.*version%=%d%.%d%.%d.*)" - symbols = string.gsub(s, pattern_symbols, "%2") - symbols = string.gsub(symbols, "%s", "") - end + if string.find(s, 'X%-Spam%-Status: %S+, score') then + local pattern_symbols = "X%-Spam%-Status: %S+, score%=(%d+%.%d+) .* tests=(.*,)( +%S+).*" + spam_score = string.gsub(s, pattern_symbols, "%1") + lua_util.debugm(rule.N, task, '%s: spamd Spam line: %s', rule.log_prefix, spam_score) + symbols = string.gsub(s, pattern_symbols, "%2%3") + symbols = string.gsub(symbols, "%s", "") + end end if tonumber(spam_score) > 0 and #symbols > 0 and symbols ~= "none" then @@ -187,6 +184,7 @@ local function spamassassin_check(task, content, digest, rule) common.save_cache(task, digest, rule, symbols_table, spam_score) end else + common.save_cache(task, digest, rule, 'OK') common.log_clean(task, rule, 'no spam detected - spam score: ' .. spam_score .. ', symbols: ' .. symbols) end end |