Command-line tool to scan Google search results for vulnerabilities
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Scan Google search results for vulnerabilities.

dorkbot is a modular command-line tool for performing vulnerability scans against a set of webpages returned by Google search queries in a given Google Custom Search Engine. It is broken up into two sets of modules:

  • Indexers - modules that issue a search query and return the results as targets
  • Scanners - modules that perform a vulnerability scan against each target

Targets are stored in a local database file upon being indexed. Once scanned, any vulnerabilities found by the chosen scanner are written to a standard JSON report file. Indexing and scanning processes can be run separately or combined in a single command.


usage: [-h] [-c CONFIG] [-b BLACKLIST] [-d DATABASE] [-i INDEXER]
                  [-l] [-o INDEXER_OPTIONS] [-p SCANNER_OPTIONS] [-s SCANNER]
                  [-v VULNDIR]

optional arguments:
  -h, --help            show this help message and exit
  -c CONFIG, --config CONFIG
                        Configuration file
  -b BLACKLIST, --blacklist BLACKLIST
                        File containing (regex) patterns to blacklist from
  -d DATABASE, --database DATABASE
                        SQLite3 database file
  -i INDEXER, --indexer INDEXER
                        Indexer module to use
  -l, --list            List targets in database
                        Indexer-specific options (opt1=val1,opt2=val2,..)
                        Scanner-specific options (opt1=val1,opt2=val2,..)
  -s SCANNER, --scanner SCANNER
                        Scanner module to use
  -v VULNDIR, --vulndir VULNDIR
                        Directory to store vulnerability output reports


Python 2.7.x / 3.x (Linux / Mac OS / Windows) (requires python-dateutil)


As needed, dorkbot will search for tools in the following order:

  • Directory specified via relevant module option
  • Located in dorkbot's tools directory, with the subdirectory named after the tool
  • Available in the user's PATH (e.g. installed system-wide)


Create a Google Custom Search Engine and note the search engine ID, e.g. 012345678901234567891:abc12defg3h. Download either Arachni or Wapiti, unpack it into the tools directory, and rename the subdirectory to arachni or wapiti as appropriate.

$ sudo apt install python-dateutil phantomjs
$ ./ -i google -o engine=012345678901234567891:abc12defg3h,query="filetype:php inurl:id"
$ ./ -s arachni
$ ./ -s wapiti

Indexer Modules


Search for targets in a Google Custom Search Engine (CSE) via custom search element.

Requirements: PhantomJS


  • engine - CSE id
  • query - search query
  • phantomjs_dir - phantomjs base directory containing bin/phantomjs (default: tools/phantomjs/)
  • domain - limit searches to specified domain


Search for targets in a Google Custom Search Engine (CSE) via JSON API.

Requirements: none


  • key - API key
  • engine - CSE id
  • query - search query
  • domain - limit searches to specified domain


Read targets from standard input, one per line.

Requirements: none

Options: none

Scanner Modules


Scan targets with Arachni command-line scanner.

Requirements: Arachni


  • arachni_dir - arachni base directory containing bin/arachni and bin/arachni_reporter (default: tools/arachni/)
  • report_dir - directory to save arachni scan binary and JSON scan report output (default: reports/)
  • checks - space-delimited list of vulnerability checks to perform (default: "active/* -csrf -unvalidated_redirect -source_code_disclosure -response_splitting -no_sql_injection_differential")


Scan targets with Wapiti command-line scanner.

Requirements: Wapiti


  • wapiti_dir - wapiti base directory containing bin/wapiti (default: tools/wapiti/)
  • report_dir - directory to save wapiti JSON scan report (default: reports/)