Packages and Binaries:

wig

This package contains a web application information gathering tool, which can identify numerous Content Management Systems and other administrative applications.

The application fingerprinting is based on checksums and string matching of known files for different versions of CMSes. This results in a score being calculated for each detected CMS and its versions. Each detected CMS is displayed along with the most probable version(s) of it. The score calculation is based on weights and the amount of “hits” for a given checksum.

wig also tries to guess the operating system on the server based on the ‘server’ and ‘x-powered-by’ headers. A database containing known header values for different operating systems is included in wig, which allows wig to guess Microsoft Windows versions and Linux distribution and version.

Installed size: 6.36 MB
How to install: sudo apt install wig

wig

WebApp Information Gatherer

root@kali:~# wig -h
usage: wig [-h] [-l INPUT_FILE] [-q] [-n STOP_AFTER] [-a] [-m] [-u] [-d]
           [-t THREADS] [--no_cache_load] [--no_cache_save] [-N] [--verbosity]
           [--proxy PROXY] [-w OUTPUT_FILE]
           [url]

WebApp Information Gatherer

positional arguments:
  url              The url to scan e.g. http://example.com

options:
  -h, --help       show this help message and exit
  -l INPUT_FILE    File with urls, one per line.
  -q               Set wig to not prompt for user input during run
  -n STOP_AFTER    Stop after this amount of CMSs have been detected. Default:
                   1
  -a               Do not stop after the first CMS is detected
  -m               Try harder to find a match without making more requests
  -u               User-agent to use in the requests
  -d               Disable the search for subdomains
  -t THREADS       Number of threads to use
  --no_cache_load  Do not load cached responses
  --no_cache_save  Do not save the cache for later use
  -N               Shortcut for --no_cache_load and --no_cache_save
  --verbosity, -v  Increase verbosity. Use multiple times for more info
  --proxy PROXY    Tunnel through a proxy (format: localhost:8080)
  -w OUTPUT_FILE   File to dump results into (JSON)