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openvpn

OpenVPN is an open source VPN daemon

openzeppelin-contracts

OpenZeppelin Contracts is a library for secure smart contract development.

options-trading-strategies-in-python-basic

opy

Obfuscator for Python

orderimbalance

Order Imbalance Strategy in High Frequency Trading

pandas-ta

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

parity

Open source software platform for trading venues

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

particles.js

A lightweight JavaScript library for creating particles

passivbot

Trading bot running on Binance, Bitget and Bybit

payloadsallthethings

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

payment-card-identifier

A Python library for determining credit card type.

pegasus

Carbanak leaked source

pegasus-1

pegasus-2

Pegasus Workflow Management System - Automate, recover, and debug scientific computations.

pegasus-3

pegasus-system

Pegasus System has been designed by an experienced team of software developers (terkoding) and exploit writers to automate processes so penetration testers can focus on what's really important

pegasus_spyware

decompiled pegasus_spyware

pegasus_spyware_detection_utils_ios_aos

After extensive research and understanding of how Pegasus Spyware is operating inside of iOS and AndroidOS systems I have created tools that will be able to identify & validate the presence of the spyware on your mobile devices, and tablets. Initial detection points were derived from the mvt-project.

pegasussummarization

A quick walkthrough demonstrating how to use Pegasus for summarization.

pentest-env

Pentest environment deployer (kali linux + targets) using vagrant and chef.

perceptron

personal-blog

pgcheck

check if device contains Pegasus Spyware files

phishing-detection

Train a simple decision tree classifier to detect websites used for phishing

phishing-detection-1

Phishing detection of URL using Python and Machine Learning in R

phishing-url-detection

Phishers use the websites which are visually and semantically similar to those real websites. So, we develop this website to come to know user whether the URL is phishing or not before using it.

phishing-url-detection-1

Phishing website detection system provides strong security mechanism to detect and prevent phishing domains from reaching user. This project presents a simple and portable approach to detect spoofed webpages and solve security vulnerabilities using Machine Learning. It can be easily operated by anyone since all the major tasks are happening in the backend. The user is required to provide URL as input to the GUI and click on submit button. The output is shown as “YES” for phishing URL and “NO” for not phished URL. PYTHON DEPENDENCIES: • NumPy, Pandas, Scikit-learn: For Data cleaning, Data analysis and Data modelling. • Pickle: For exporting the model to local machine • Tkinter, Pyqt, QtDesigner: For building up the Graphical User Interface (GUI) of the software. To avoid the pain of installing independent packages and libraries of python, install Anaconda from www.anaconda.com. It is a Python data science platform which has all the ML libraries, Data analysis libraries, Jupyter Notebooks, Spyder etc. built in it which makes it easy to use and efficient. Steps to be followed for running the code of the software: • Install anaconda in the system. • gui.py : It contains the code for the GUI and is linked to other modules of the software. • Feature_extractor.py: It contains the code of Data analysis and data modelling. • Rf_model.py: It contains the trained machine learning model. • Only gui.py is to be run to execute the whole software.

phishing-website-detection-by-machine-learning-techniques

phishing_catcher

Phishing catcher using Certstream