Real-time collaboration for Jupyter Notebooks, Linux Terminals, LaTeX, VS Code, R IDE, and more,
all in one place.

1
module Msf
2
  #
3
  # This mixin provides helpers to perform SQL injection
4
  # - provides a level of abstraction for common queries, for example, querying the table names
5
  # - implements blind and time-based SQL injection in a reusable manner
6
  # - Highly extendable (user can run any code to perform the requests, encode payloads and parse results)
7
  #
8
  module Exploit::SQLi
9
    def initialize(info = {})
10
      super
11
      register_advanced_options(
12
        [
13
          OptFloat.new('SqliDelay', [ false, 'The delay to sleep on time-based blind SQL injections', 1.0 ])
14
        ]
15
      )
16
    end
17

18
    #
19
    # Creates an SQL injection object, this is the method module writers should use
20
    # @param dbms [Class] The SQL injection class you intend to use
21
    # @param opts [Hash] The options to use with this SQL injection
22
    # @param query_proc [Proc] The proc that takes an SQL payload as a parameter, and queries the server
23
    # @return [Object] an instance of dbms
24
    #
25
    def create_sqli(dbms:, opts: {}, &query_proc)
26
      raise ArgumentError, 'Invalid dbms class' unless dbms.is_a?(Class) && dbms.ancestors.include?(Msf::Exploit::SQLi::Common)
27

28
      dbms.new(datastore, framework, user_output, opts, &query_proc)
29
    end
30
  end
31
end
32

33