Skip to content

5l1v3r1/PortWitness

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

39 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PortWitness v1.1 [Written in Python2]

This version of PortWitness has been developed in python2 in which modules like os,subprocess and sys etc have been used.The entire code is based on the concept of socket programming.Using Sockets we establish a connection with a web application to find out if its alive or not.This new version of PortWitness is more fast and accurate.

Screenshots

PortWitness

Usage

python2 name.py url

PortWitness v1.0 [Written in Bash]

PortWitness was designed as a bash tool to find out active domain and subdomains of websites using port scanning. It helps penetration testers and bug hunters collect and gather information about active subdomains for the domain they are targeting.PortWitness enumerates subdomains using Sublist3r and uses Nmap alongwith nslookup to check for active sites.Active domain or sub-domains are finally stored in an output file.Using that Output file a user can directly start testing those sites.

Sublist3r has also been integrated with this module.It's very effective and accurate when it comes to find out which sub-domains are active using Nmap and nslookup.

This tool also helps a user in getting the ip addresses of all sub-domains and stores then in a text file , these ip's can be used for further scanning of the target.

Screenshots

PortWitness

Installation

git clone https://github.com/viperbluff/PortWitness.git

BASH

This tool has been created using bash scripting so all you require is a linux machine.

Usage

Provide execute rights to the file by chmod +x portwitness.sh

bash portwitness.sh url

Credits

Sahil Tikoo

Associate Security Researcher

sahil@payatu.com

About

Tool for checking Whether a domain or its multiple sub-domains are up and running.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 97.3%
  • Shell 2.7%