Class: Recog::Nizer

Inherits:
Object
  • Object
show all
Defined in:
lib/recog/nizer.rb

Constant Summary collapse

DEFAULT_OS_CERTAINTY =

Default certainty ratings where none are specified in the fingerprint itself

0.85
DEFAULT_SERVICE_CERTAINTY =

Most frequent weights are 0.9, 1.0, and 0.5

0.85
HOST_ATTRIBUTES =

Non-weighted host attributes that can be extracted from fingerprint matches

%W{
  host.domain
  host.id
  host.ip
  host.mac
  host.name
  host.time
  hw.device
  hw.family
  hw.product
  hw.vendor
}
@@db_manager =
nil

Class Method Summary collapse

Class Method Details

.best_os_match(matches) ⇒ Object

Consider an array of match outputs, choose the best result, taking into account the granularity of OS vs Version vs SP vs Language. Only consider fields relevant to the host (OS, name, mac address, etc).



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
# File 'lib/recog/nizer.rb', line 49

def self.best_os_match(matches)

  # The result hash we return to the caller
  result = {}

  # Certain attributes should be evaluated separately
  host_attrs  = {}

  # Bucket matches into matched OS product names
  os_products = {}

  matches.each do |m|
    # Count how many times each host attribute value is asserted
    (HOST_ATTRIBUTES & m.keys).each do |ha|
      host_attrs[ha]        ||= {}
      host_attrs[ha][m[ha]] ||= 0
      host_attrs[ha][m[ha]]  += 1
    end

    next unless m.has_key?('os.product')

    # Group matches by OS product and normalize certainty
    cm = m.dup
    cm['os.certainty'] = ( m['os.certainty'] || DEFAULT_OS_CERTAINTY ).to_f
    os_products[ cm['os.product'] ] ||= []
    os_products[ cm['os.product'] ]  << cm
  end

  #
  # Select the best host attribute value by highest frequency
  #
  host_attrs.keys.each do |hk|
    ranked_attr = host_attrs[hk].keys.sort do |a,b|
      host_attrs[hk][b] <=> host_attrs[hk][a]
    end
    result[hk] = ranked_attr.first
  end

  # Unable to guess the OS without OS matches
  unless os_products.keys.length > 0
    return result
  end

  #
  # Select the best operating system name by combined certainty of all
  # matches within an os.product group. Multiple weak matches can
  # outweigh a single strong match by design.
  #
  ranked_os = os_products.keys.sort do |a,b|
    os_products[b].map{ |r| r['os.certainty'] }.inject(:+) <=>
    os_products[a].map{ |r| r['os.certainty'] }.inject(:+)
  end

  # Within the best match group, try to fill in missing attributes
  os_name = ranked_os.first

  # Find the best match within the winning group
  ranked_os_matches = os_products[os_name].sort do |a,b|
    b['os.certainty'] <=> a['os.certainty']
  end

  # Fill in missing result values in descending order of best match
  ranked_os_matches.each do |rm|
    rm.each_pair do |k,v|
      result[k] ||= v
    end
  end

  result
end

.best_service_match(matches) ⇒ Object

Consider an array of match outputs, choose the best result, taking into account the granularity of service. Only consider fields relevant to the service.



125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
# File 'lib/recog/nizer.rb', line 125

def self.best_service_match(matches)

  # The result hash we return to the caller
  result = {}

  # Bucket matches into matched service product names
  service_products = {}

  matches.select{ |m| m.has_key?('service.product') }.each do |m|
    # Group matches by product and normalize certainty
    cm = m.dup
    cm['service.certainty'] = ( m['service.certainty'] || DEFAULT_SERVICE_CERTAINTY ).to_f
    service_products[ cm['service.product'] ] ||= []
    service_products[ cm['service.product'] ]  << cm
  end

  # Unable to guess the service without service matches
  unless service_products.keys.length > 0
    return result
  end

  #
  # Select the best service name by combined certainty of all matches
  # within an service.product group. Multiple weak matches can
  # outweigh a single strong match by design.
  #
  ranked_service = service_products.keys.sort do |a,b|
    service_products[b].map{ |r| r['service.certainty'] }.inject(:+) <=>
    service_products[a].map{ |r| r['service.certainty'] }.inject(:+)
  end

  # Within the best match group, try to fill in missing attributes
  service_name = ranked_service.first

  # Find the best match within the winning group
  ranked_service_matches = service_products[service_name].sort do |a,b|
    b['service.certainty'] <=> a['service.certainty']
  end

  # Fill in missing service values in descending order of best match
  ranked_service_matches.each do |rm|
    rm.keys.select{ |k| k.index('service.') == 0 }.each do |k|
      result[k] ||= rm[k]
    end
  end

  result
end

.match(match_key, match_string) ⇒ Hash?

Locate a database that corresponds with the match_key and attempt to find a matching fingerprint, stopping at the first hit. Returns nil when no matching database or fingerprint is found.

Parameters:

  • match_key (String)

    Fingerprint DB name, e.g. 'smb.native_os'

Returns:

  • (Hash, nil)

    Keys will be host, service, and os attributes



31
32
33
34
35
36
37
38
39
40
41
42
# File 'lib/recog/nizer.rb', line 31

def self.match(match_key, match_string)
  match_string = match_string.to_s.unpack("C*").pack("C*")
  @@db_manager ||= Recog::DBManager.new
  @@db_manager.databases.each do |db|
    next unless db.match_key == match_key
    db.fingerprints.each do |fprint|
      m = fprint.match(match_string)
      return m if m
    end
  end
  nil
end