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

DGCNN - Dynamic Graph CNN for Learning on Point Clouds

Official Implementation of SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-Training for Spatial-Aware Visual Representations

Official Code Implementation of the paper : XAI for Transformers: Better Explanations through Conservative Propagation

[TPAMI 2021] iOD: Incremental Object Detection via Meta-Learning

Using image super resolution models with vapoursynth and speeding them up with TensorRT

CRNN With PyTorch

Incomplete easy-to-use math solver and PDF generator.

Code for CVPR2021 paper 'Where and What? Examining Interpretable Disentangled Representations'.

A command line simple note taking app

Synthetic Scene Text from 3D Engines

Author Disambiguation using Knowledge Graph Embeddings with Literals

Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

Official implementation of CVPR2020 paper "Deep Generative Model for Robust Imbalance Classification"

Code Impementation for "Mold into a Graph: Efficient Bayesian Optimization over Mixed Spaces"

OpenMMLab Image and Video Editing Toolbox

This is the code for our KILT leaderboard submission to the T-REx and zsRE tasks. It includes code for training a DPR model then continuing training with RAG.

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