aboutsummaryrefslogtreecommitdiffstats
path: root/conf/lua/rspamd.classifiers.lua
blob: b9be222f9139e5003841e7179e63ab68a45e7fb7 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
--[[
Copyright (c) 2011-2015, Vsevolod Stakhov <vsevolod@highsecure.ru>
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
]]--

-- Detect language of message and selects appropriate statfiles for it

-- Common labels for specific statfiles
local many_recipients_label = 'many recipients'
local undisclosed_recipients_label = 'undisclosed recipients'
local list_label = 'maillist'
local long_subject_label = 'long subject'

-- Get specific statfiles set based on message rules
local function get_specific_statfiles(classifier, task)
	if not table.foreach then
		table.foreach = function(t, f)
			for k, v in pairs(t) do f(k, v) end
		end
	end
	local spec_st = {}
	-- More 5 recipients
	local st_many = classifier:get_statfile_by_label(many_recipients_label)
	if st_many then
		rcpt = task:get_recipients(2)
		if rcpt and table.maxn(rcpt) > 5 then
			print(table.maxn(rcpt))
			table.foreach(st_many, function(i,v) table.insert(spec_st,v) end)
		end
	end
	-- Undisclosed
	local st_undisc = classifier:get_statfile_by_label(undisclosed_recipients_label)
	if st_undisc then
		rcpt = task:get_recipients(2)
		if rcpt and table.maxn(rcpt) == 0 then
			table.foreach(st_undisc, function(i,v) table.insert(spec_st,v) end)
		end
	end
	-- Maillist
	local st_maillist = classifier:get_statfile_by_label(list_label)
	if st_maillist then
		local unsub_header = task:get_header_raw('List-Unsubscribe')
		if unsub_header then
			table.foreach(st_maillist, function(i,v) table.insert(spec_st,v) end)
		end
	end
	-- Long subject
	local st_longsubj = classifier:get_statfile_by_label(long_subject_label)
	if st_longsubj then
		local subj = task:get_header_raw('Subject')
		if subj and string.len(subj) > 150 then
			table.foreach(st_longsubj, function(i,v) table.insert(spec_st,v) end)
		end
	end
	
	if table.maxn(spec_st) > 1 then
		return spec_st
	else
		return nil
	end
end

classifiers['bayes'] = function(classifier, task, is_learn, is_spam)
	-- Subfunction for detection of message's language
	local detect_language = function(task)
		local parts = task:get_text_parts()
		for _,p in ipairs(parts) do
			local l = p:get_language()
			if l then
				return l
			end
		end
		return nil
	end

	-- Main procedure
	local selected = {}
	local spec_st = get_specific_statfiles(classifier, task)
	if spec_st then
		if is_learn then
			return spec_st
		else
			-- Merge tables
			table.foreach(spec_st, function(i,v) table.insert(selected,v) end)
		end
	end
	-- Detect statfile by language
	language = detect_language(task)
	if language then
		-- Find statfiles with specified language
		for _,st in ipairs(classifier:get_statfiles()) do
			-- Skip labeled statfiles
			if not st:get_label() then
				local st_l = st:get_param('language')
				if st_l and st_l == language then
					-- Insert statfile with specified language    
					table.insert(selected, st)
				end
			end
		end
		if table.maxn(selected) > 1 then
			return selected
		end
	end

	-- Language not detected or specific language statfiles have not been found
	for _,st in ipairs(classifier:get_statfiles()) do
		-- Skip labeled statfiles
		if not st:get_label() then
			local st_l = st:get_param('language')
			-- Insert only statfiles without language
			if not st_l then
				table.insert(selected, st)
			end
		end
	end
	if table.maxn(selected) > 1 then
		return selected
	end
	
	return nil
end