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aes-killer

Burp plugin to decrypt AES Encrypted traffic of mobile apps on the fly

automatic-answer-checker

this will add the answer and question through admin and when user enter the answer of question it checks according to that and gives the mark according to that

awesome-ctf

A curated list of CTF frameworks, libraries, resources and softwares

awesome-vehicle-security

🚗 A curated list of resources for learning about vehicle security and car hacking.

blogging-system-with-admin-panel-in-php-and-mysql

A blog as you know it is an application where some users (Admin users) can create, edit, update and publish articles to make them available in the public to read and maybe comment on. Users and the public can browse through a catalog of these articles and click to anyone to read more about the article and comment on them. Features: A user registration system that manages two types of users: Admin and Normal Users The blog will have an admin area and a public area separate from each other The admin area will be accessible only to logged in admin users and the public area to the normal users and the general public In the admin section, two types of admins exist: Admin: Can create, view, update, publish/unpublish and delete ANY post. Can also create, view, update and delete topics. An Admin user (and only an Admin user) can create another admin user or Author Can view, update and delete other admin users Author: Can create, view, update and delete only posts created by themselves They cannot publish a post. All publishing of posts is done by the Admin user. Only published posts are displayed in the public area for viewing Each post is created under a particular topic A many-to-many relationship exists between posts and topics. The public page lists posts; each post displayed with a featured image, author, and date of creation. The user can browse through all posts listings under a particular topic by clicking on the topic When a user clicks on a post, they can view the full post and comment at the bottom of the posts. A Disqus commenting system is implemented which allows users to comment using social media accounts with platforms like Facebook, GooglePlus, Twitter.

bugmenot

Get shared credentials for your bug bounty targets or for anything else

cadockerv1

cesarciphar-encryption

face-detect

In this we are going to detect faces using existing images not real-time using opencv

hacktricks

Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.

hacktronian

All in One Hacking Tool for Linux

harp

Static Site Server/Generator with built-in preprocessing

impacket

Impacket is a collection of Python classes for working with network protocols.

juice-shop

OWASP Juice Shop: Probably the most modern and sophisticated insecure web application

kingofbugbountytips

lamp-isac

micro

mywebsite

Mywebsite

nishang

Nishang - Offensive PowerShell for red team, penetration testing and offensive security.

os-project-demand-paged

own-the-recon

This repository is created for personal use and added tools from my blog post.

payloadsallthethings

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

php-reverse-shell

python

PYTHON RELATED REPOS

python-music-player

Music Player built using Python and Tkinter

real-time-face-and-eye-and-smile-detector

Python | Smile detection using OpenCV Emotion detectors are used in many industries, one being the media industry where it is important for the companies to determine the public reaction to their products. In this article, we are going to build a smile detector using OpenCV which takes in live feed from webcam. The smile/happiness detector that we are going to implement would be a raw one, there exist many better ways to implement it.

realtime-face-and-eye-detector

The objective of the program given is to detect object of interest(face) in real time and to keep tracking of the same object.This is a simple example of how to detect face in Python. You can try to use training samples of any other object of your choice to be detected by training the classifier on required objects. Here is the steps to download the requirements below. Steps: Download Python 2.7.x version, numpy and Opencv 2.7.x version.Check if your Windows either 32 bit or 64 bit is compatible and install accordingly. Make sure that numpy is running in your python then try to install opencv. Put the haarcascade_eye.xml & haarcascade_frontalface_default.xml files in the same folder(links given in below code).

recon-my-way

This repository created for personal use and added tools from my latest blog post.

rekon

The project contains multiple shell scripts for automating the tasks during recon.

screen-recorder