GH Dork – Github Dorking Tool

GH Dork - Github Dorking Tool

Github Dork Tool

Supply a list of dorks and, optionally, one of the following:

  • a user (-u)
  • a file with a list of users (-uf)
  • an organization (-org)
  • a file with a list of organizations (-of)
  • a repo (-r)

You can also pass:

  • an output directory to store results (-o)
  • a filename to store valid items, if your users or org file may contain nonexistent users/orgs (-vif)

All input files (dorks, users, or orgs) should be newline-separated.


Clone the repository, then run pip install -r requirements.txt

The only required parameter is the dorks file (-d). See techguan’s github-dorks.txt for ideas.

If an output directory is specified, a file will be created for each dork in the dorks list, and results will be saved there as well as printed. Only use an empty/nonexistent directory or it will be cleared and its contents replaced.

If your users or orgs files haven’t already been filtered to remove non-existent users/orgs or those without any public code, it’s highly recommended that you pass in a --valid-items-filename (-vif). This will filter out any invalid users/orgs when searching for the first dork, and avoid searching against them for subsequent dorks. The output file can also then be used as the input users/orgs file to speed up later script runs.

Example usage:

python -d dorks.txt # Basic usage python -d dorks.txt -u molly # Search repos of a specific user python -d dorks.txt -uf users.txt # Search repos of all users in the list python -d dorks.txt -uf users.txt -vif valid_users.txt # Search repos of all users in the list, filtering out nonexistent users python -d dorks.txt -org github # Search repos of a specific organization python -d dorks.txt -of orgs.txt # Search repos of all orgs in the list python -d dorks.txt -of orgs.txt -vif valid_orgs.txt # Search repos of all orgs in the list, filtering out nonexistent orgs python -d dorks.txt -r molly/gh-dork # Search the specified repo python -d dorks.txt -o results # Store results in files in the results/ directory, *overwriting any directory contents*


Authentication is done with environment variables. You can authenticate with a Github private access token (GH_TOKEN), or username and password (GH_USER and GH_PASS). If you have two-factor authentication enabled, you will be prompted for a two-factor code.

You can also pass a Github Enterprise base URL (GH_URL) to search against that Github instance; if omitted, this will run against

If no credentials are provided or if credentials are invalid, the script will still run, but will be limited by the much lower rate limits for unauthenticated users.

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