Cansina - Web Content Discovery Tool


Cansina is a Web Content Discovery Application. It is well known Web applications don't publish all their resources or public links, so the only way to discover these resources is requesting for them and check the response. Cansina duty is to help you making requests and filtering the responses to tell apart if it is an existing resource or just an annoying or disguised 404. Other kind of useful responses (401, 403, ...) are processed in a similar fashion. Responses are kept in a sqlite database for later process or viewing.
You can stop and resume a task by ctrl-c, a resume file will be generated for you.
Check the options '-h' for more features.
There is an ongoing effort to add features via plugins.
Feature requests and comments are welcome.

Cansina is included in BlackArch Linux, give it a try!

Features
  • Multithreading
  • Http / Https
  • Proxy support
  • Data persistence
  • Basic Authentication
  • Resume

Usage
cansina.py -h for a comprehensive list of features and choices
Simple case
cansina.py -u target_url -p payload_filename
Will make GET requests using 4 threads by default

Banning HTTP responde codes to output
cansina.py -u target_url -p payload_filename -b 404,400,500
Selected codes will be skipped

Adding a .php extension to every record in payload
cansina.py -u target_url -p payload_filename -e php
Make all payload entries end with an extension

Adding a list of extensions
cansina.py -u target_url -p payload_filename -e php,asp,aspx
Same as above but will repeat every request for every extension provided

Inspecting content
cansina.py -u target_url -p payload_filename -c look_for_this_text
Cansina will report to screen if the content is detected in response

Filtering by content
cansina.py -u target_url -p payload_filename -d look_for_this_text
If the content is found it will be processed as a 404 Not Found page

Autodiscriminator
cansina.py -u target_url -p payload_filename -D
First, Cansina will try to make and remember a 404 response and will skip similar responses

Replacing
cansina.py -u target_url/
*
_this/ -p payload_filename
Simple string replacing. Useful when a URL pattern is observable

Size filtering
cansina.py -u target_url -s 1495 -p payload_filename
If you don't want a response and know its size is fixed this could help skipping all those responses.
Also, it can be a list of sizes:
cansina.py -u target_url -s 0,1495,1337 -p payload_filename

Uppercase all requests
cansina.py -u target_url -U -p payload_filename
Just make every payload UPPERCASE

Threading
cansina.py -u target_url -t8 -p payload_filename
Set the threading level. 4 by default.

Change GET -> HEAD requests
cansina.py -u target_url -H -p payload_filename
Make requests using HEAD HTTP method. Be aware size and content filtering won't work

Delay between requests
cansina.py -u target_url -T 1.25 -p payload_filename
Set a delay between resquests. Time is set in float format. E.g: 1.25 seconds

User agent
cansina.py -u target_url -p payload_filename -a user_agent
Set an alternative User-Agent string

Proxy requests
cansina.py -u target_url -p payload_filename -Phttp://127.0.0.1:8080
Simple http proxy

Basic authentication
cansina.py -u target_url -p payload_filename -Auser:password
Manages basic authentication

Resume session
cansina.py -r resume_file
Resume last interrupted session with all options and payload with former linenumber

Parse robots.txt
cansina.py -R
Cansina will parse the robots.txt file an use it as a payload if it exists

Important
This tool is intended to be used in a fair and legal context, meaning, for example, a penetration testing for which you have been provided previous authorization.
One of its legitimate uses might be the one described in the following article:

Dependencies

Payloads
Cansina does not come with list but there are some neat projects to supply this:

Install
pip install --user requests
git clone --depth=1 https://github.com/deibit/cansina

Cansina - Web Content Discovery Tool Cansina - Web Content Discovery Tool Reviewed by Lydecker Black on 7:03 PM Rating: 5