Generate Contextual Directory Wordlist For Target Org

Last update: Jun 23, 2021

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Overview

PathPermutor

Generate Contextual Directory Wordlist For Target Org

This script generates contextual wordlist for any target org based on the set of URLs given. You can feed it URLs from Gau, Wayback machine, Burp Proxy or any other place. This will generate combinations of paths that you can use in directory busting.

Usage: python3 pathpermuter.py InputFile.txt OutputWordlist.txt

This is just a test version that has lot of bugs. I will improve it eventually :) In case you think more usecases can be added feel free to ping me on twitter @1337tr0lls :)

Owner

GitHub Repository

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Generate Contextual Directory Wordlist For Target Org

Related tags

Overview

PathPermutor

Generate Contextual Directory Wordlist For Target Org

Usage: python3 pathpermuter.py InputFile.txt OutputWordlist.txt

Owner

Bayesian Optimization using GPflow

SegNet model implemented using keras framework

Cmsc11 arcade - Final Project for CMSC11

Estimation of human density in a closed space using deep learning.

👨‍💻 run nanosaur in simulation with Gazebo/Ingnition

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

TorchGeo is a PyTorch domain library, similar to torchvision, that provides datasets, transforms, samplers, and pre-trained models specific to geospatial data.

A Fast and Stable GAN for Small and High Resolution Imagesets - pytorch

Can we do Customers Segmentation using PHP and Unsupervized Machine Learning ? Yes we can ! 🤡

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

Tiny-NewsRec: Efﬁcient and Effective PLM-based News Recommendation

This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".

Face recognition with trained classifiers for detecting objects using OpenCV

Scripts and misc. stuff related to the PortSwigger Web Academy

EssentialMC2 Video Understanding

Official code for "End-to-End Optimization of Scene Layout" -- including VAE, Diff Render, SPADE for colorization (CVPR 2020 Oral)

MAVE: : A Product Dataset for Multi-source Attribute Value Extraction

STMTrack: Template-free Visual Tracking with Space-time Memory Networks

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