A Fast Broken Link Hijacker Tool written in Python

Last update: Nov 30, 2022

Overview

Broken Link Hijacker

BrokenLinkHijacker(BLH) is a Fast Broken Link Hijacker Tool written in Python. It crawls the website and searches for all the Broken Links.This tool is mainly designed for Bug Bounty Hunters.It helps bug hunters collect all the Broken Links from the domain they are targeting. It crawls the website on 3 different deepness to get all the links from it. It also helps to find all the Social Media or Social Engagement platforms links mentioned on the website. It Searches for links in

tag

Installation

https://github.com/MayankPandey01/BrokenLinkHijacker.git

Recommended Python Version:

This Tool Only Supports Python 3. The recommended version for Python 3 is 3.8.x.

Dependencies:

The dependencies can be installed using the requirements file:.

Installation on Windows:.

python.exe -m pip install -r requirements.txt.

Installation on Linux.

sudo pip install -r requirements.txt.

How it Works

This tool searches for all the INBOUND and OUTBOUND links from HTML tags and then crawls it Further based on the Depness set by the user

Deepness Decide how the Search takes Place on the Webpage

Deepness = 1 It means that only the given Url will be Crawled
Deepness=2 In this search, the Crawler goes on Step Further and goes one more level deep to search
Deepness=3 Here all the INBOUND links from the website are crawled until there is no link left to crawl. This can take a significant amount of time to complete.

Usage

Short Form	Long Form	Description
url	url	A URL to scan
-d	Deepness	Level of deepness to search.(Default=1)[Varies from 1-3]
-v	--verbosity	Set the Verbosity for Program
-o	--output	Weather to save the output in a file or not.(Default=False)
-h	--help	Displays help

Examples

To Use the Tool in the default setting.
BLH.py https://google.com will give result.

To Increase Deepness Use :

BLH.py https://google.com -d 2 This will set Deepness to 2.
BLH.py https://google.com -d 3 This will set Deepness to 3 .

To turn Verbosity Mode On or OFF :

By default Verbosity Mode is Set to True.
BLH.py https://google.com -v False .
-v F or -v Flase | -v T or -v True.
To Save output To a file :

By default Output is Set to False. The output fileame is set to domain_links.txt by default.
BLH.py https://google.com -o True .
-o F or -o False | -o T or -o True.

Note

More details here https://edoverflow.com/2017/broken-link-hijacking/

Use This Tool Wisely.
Happy Hacking ✨ ✨

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Comments

Needs work to actually find all broken links
I have been using another broken link tester michaeltelford/broken_link_finder, but am currently looking for one that is portable.

I setup a test page with 19 broken links testing website broken link finders for the following test cases and combinations thereof:

Absolute broken link to image

Absolute broken link to non-existing page

Absolute broken anchor link to non-existing page

Absolute broken anchor link to test page

Absolute broken link to non-existing page

Relative broken link to image

Relative broken link to non-existing page

Relative broken anchor link to non-existing page

Relative broken anchor link to test page

Relative broken link to non-existing page

Broken link to image on a different domain that does not exist.

Broken link on different domain.

Broken anchor link to non-existing page on different domain.

Broken anchor link to existing page on different domain.

Broken link on different domain with query string.

Broken Link to non-existing domain.

Broken Link to image on non-existing domain

Broken Anchor Link on non-existing domain

Broken Link to non-existing domain with query string

I ran BrokenLinkHijacker against my test page.

It found only 10 links

It search 4 broken links saying that it could not connect, then reported

NO BROKEN LINKS FOUND (all caps from the output of the program not mine.)

Not sure where to start. A page with 19 broken links and it does not even find one.
opened by frederickjh 3
fixed number_of_broken_link count and is_valid function to check only…
It seems like a lot of lines in the code changed but I only auto-formatted the code.

Changes:

is_valid is now filtering for schemas being one of ['http', 'https'].

number_of_broken_link was referenced before assignment in status_check because of not using the global value.
opened by DavidBalas1 1

Releases(1.0)

1.0(Feb 28, 2021)

Source code(tar.gz)
Source code(zip)

Owner

Mayank Pandey

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GitHub Repository

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Strong-password-Generator-from-existing-password-using-python In this program, I generate the strong password from existing password without class usi

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A Fast Broken Link Hijacker Tool written in Python

Related tags

Overview

Broken Link Hijacker

Installation

Recommended Python Version:

Dependencies:

How it Works

Usage

Examples

Note

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