Packet Dismantler 's Projects
Python Artificial Intelligence Projects for Beginners [Video] by Packt Publishing
Begin of poc on catching 2FA in RF
A bash script for anonymizing the public IP used to browsing Internet, managing the connection to TOR network and to different VPNs providers (OpenVPN)
RedTeam/Pentest notes and experiments tested on several infrastructures related to professional engagements.
Active C&C Detector
volatility plugin to detect ACPI rootkits
A cheat sheet that contains common enumeration and attack methods for Windows Active Directory.
A cheat sheet that contains common enumeration and attack methods for Windows Active Directory.
A multi-object tracking component. Works in the conditions where identification and classical object trackers don't (e.g. shaky/unstable camera footage, occlusions, motion blur, covered faces, etc.). Works on any object despite their nature.
Repository of Embedded projects
ADB-Toolkit V2 for easy ADB tricks with many perks in all one. ENJOY!
A python program to exploit android through ADB
Modified backdoor code plus new embedding technique
It's a motion detection system using Raspberry pi, as detailed in READ-ME
Switching Get Norge Fiber's Huawei HG8245 router with Ubiquiti's Nano G
Android Remote Administration Tool
Example Code for All Method Machine Learning Build in Python
Polymorph file protector
Code for my personal website.
lol
Fully Automated Remote Hacking Tool for Amazon AWS
Amazone Clone. Firebase authentication, Stripe payment, Full Ecommerce Functionality, Created add to cart, count selected cart item with reducer, item list, remove items, count selected item price.
react.js and firebase
Amazon Scraper. Scrape products from the amazon search result or reviews from the specific product
A simple web scraper to extract Product Data and Pricing from Amazon
This a clone of Taxi Booking Apps like Ola/Uber but for Ambulances. The inspiration of this project was taken from a problem statement submiited by Ministry of Chhatisgarh in Smart India Hackathon 2018.
A Unified Implementation of Several Baseline Deep Learning Models for Automatic Modulation Recognition