Porch Pirate started as a tool to quickly uncover Postman secrets, and has slowly begun to evolve into a multi-purpose reconaissance / OSINT framework for Postman. While existing tools are great proof of concepts, they only attempt to identify very specific keywords as “secrets”, and in very limited locations, with no consideration to recon beyond secrets. We realized we required capabilities that were “secret-agnostic”, and had enough flexibility to capture false-positives that still provided offensive value.
Porch Pirate enumerates and presents sensitive results (global secrets, unique headers, endpoints, query parameters, authorization, etc), from publicly accessible Postman entities, such as:
python3 -m pip install porch-pirate
Using the client
The Porch Pirate client can be used to nearly fully conduct reviews on public Postman entities in a quick and simple fashion. There are intended workflows and particular keywords to be used that can typically maximize results. These methodologies can be located on our blog: Plundering Postman with Porch Pirate.
Porch Pirate supports the following arguments to be performed on collections, workspaces, or users.
porch-pirate -s "coca-cola.com"
Get Workspace Globals
By default, Porch Pirate will display globals from all active and inactive environments if they are defined in the workspace. Provide a
-w argument with the workspace ID (found by performing a simple search, or automatic search dump) to extract the workspace’s globals, along with other information.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8
When an interesting result has been found with a simple search, we can provide the workspace ID to the
-w argument with the
--dump command to begin extracting information from the workspace and its collections.
porch-pirate -w abd6bded-ac31-4dd5-87d6-aa4a399071b8 --dump
Automatic Search and Globals Extraction
Porch Pirate can be supplied a simple search term, following the
--globals argument. Porch Pirate will dump all relevant workspaces tied to the results discovered in the simple search, but only if there are globals defined. This is particularly useful for quickly identifying potentially interesting workspaces to dig into further.
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