pown-recon v2.176 releases: A powerful target reconnaissance framework

by do son · Published July 2, 2019 · Updated September 21, 2022

Pown Recon

Pown Recon is a target reconnaissance framework powered by graph theory. The benefit of using graph theory instead of flat table representation is that it is easier to find the relationships between different types of information which comes quite handy in many situations. Graph theory algorithms also help with diffing, searching, like finding the shortest path, and many more interesting tasks.

Quickstart

If installed globally as part of Pown.js invoke like this:

$ pown recon

Otherwise, install this module from the root of your project:

$ git clone https://github.com/pownjs/pown-recon.git
$ npm install @pown/recon --save

Once done, invoke pown recon like this:

$ ./node_modules/.bin/pown-cli recon

Usage

pown-cli recon [options] <command>

Target recon

Commands:
pown-cli recon transform <transform> Perform inline transformation
[aliases: t]
pown-cli recon select <expression> Perform a selection [aliases: s]
pown-cli recon diff <fileA> <fileB> Perform a diff between two recon files
[aliases: d]

Options:
–version Show version number [boolean]
–modules, -m Load modules [string]
–help Show help [boolean]

Transforms

GitHub Search of Repos, Gists and Members
Bitbucket Search of Repos, Snippets and Members
CloudFlare 1.1.1.1 DNS API
CRTSH (CN & SAN)
DockerHub Repo Search
Gravatar URLs
Hacker Target Reverse IP Lookup
Have I Been Pwned Lookup
PKS Lookup
Bufferover.run
Urlscan Live Shot
Threatcrowd Lookup
Wappalyzer
AWS IAM Pages
Builtwith
Riddler
CommonCraw
Archive.org
Shodan
WhatsMyName
Utility Transforms
Security Trails
Auto Recon

Tutorial

To demonstrate the power of Pown Recon and graph-based OSINT (Open Source Intelligence), let’s have a look at the following trivial example.

Let’s start by querying everyone who is a member of Google’s engineering team and contributes to their GitHub account.

pown recon t -w google.network ghlm google

This command will generate a table similar to this:

┌──────────────────────────────────────────┬───────────────────────┬───────────────────────────────────────────────────────┐

│ uri                                      │ login                 │ avatar                                                │

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

│ https://github.com/3rf                   │ 3rf                   │ https://avatars1.githubusercontent.com/u/1242478?v=4  │

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

│ https://github.com/aaroey                │ aaroey                │ https://avatars0.githubusercontent.com/u/31743510?v=4 │

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

│ https://github.com/aarongable            │ aarongable            │ https://avatars3.githubusercontent.com/u/2474926?v=4  │

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

│ https://github.com/aaronj1335            │ aaronj1335            │ https://avatars2.githubusercontent.com/u/787066?v=4   │

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

...

...

...

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

│ https://github.com/alexwhouse            │ alexwhouse            │ https://avatars3.githubusercontent.com/u/1448490?v=4  │

├──────────────────────────────────────────┼───────────────────────┼───────────────────────────────────────────────────────┤

│ https://github.com/alexwoz               │ alexwoz               │ https://avatars3.githubusercontent.com/u/501863?v=4   │

└──────────────────────────────────────────┴───────────────────────┴───────────────────────────────────────────────────────┘

You just created your first network!

The representation is tabular for convenience but underneath we’ve got a model which consists of nodes connected by edges.

If you are wondering what that looks like you can use SecApps Recon. The command line does not have the necessary level of interactivity to present the complexity of graphs.

The -w google.network command-line option exported the network to a file. You can load the file directly into SecApps Recon with the file open feature. The result will look like this: