A python script to dump all the challenges locally of a CTFd-based Capture the Flag.

Related tags

Deep Learningpythonparserchallengesdumpctfctfd
Overview

A python script to dump all the challenges locally of a CTFd-based Capture the Flag.
GitHub release (latest by date) YouTube Channel Subscribers

Features

  • Connects and logins to a remote CTFd instance.
  • Dumps all the challenges by category.
  • Download attached files.
  • Prints a ✔️ or a ❌ to indicate if the challenge is solved or not.

Usage

$ ./ctfd_parser.py -h
       _____ _______ ______  _   _____
      / ____|__   __|  ____|| | |  __ \
     | |       | |  | |__ __| | | |__) |_ _ _ __ ___  ___ _ __
     | |       | |  |  __/ _` | |  ___/ _` | '__/ __|/ _ \ '__|    v1.1
     | |____   | |  | | | (_| | | |  | (_| | |  \__ \  __/ |
      \_____|  |_|  |_|  \__,_| |_|   \__,_|_|  |___/\___|_|       @podalirius_

usage: ctfd_parser.py [-h] -t TARGET -u USER -p PASSWORD [-T THREADS] [-v]

CTFdParser

optional arguments:
  -h, --help            show this help message and exit
  -t TARGET, --target TARGET
                        CTFd target (domain or ip)
  -u USER, --user USER  Username to login to CTFd
  -p PASSWORD, --password PASSWORD
                        Password to login to CTFd
  -T THREADS, --threads THREADS
                        Number of threads (default: 8)
  -v, --verbose         Verbose mode. (default: False)

Demonstration

Contributors

Pull requests are welcome. Feel free to open an issue if you want to add other features.

You might also like...
FwordCTF 2021 Infrastructure and Source code of Web/Bash challenges

FwordCTF 2021 You can find here the source code of the challenges I wrote (Web and Bash) in FwordCTF 2021 and the source code of the platform with our

Kahla 5 Nov 25, 2022
Writeups for the challenges from DownUnderCTF 2021

cloud Challenge Author Difficulty Release Round Bad Bucket Blue Alder easy round 1 Not as Bad Bucket Blue Alder easy round 1 Lost n Found Blue Alder m

DownUnderCTF 161 Dec 31, 2022
CTF challenges and write-ups for MicroCTF 2021.

MicroCTF 2021 Qualifications About This repository contains CTF challenges and official write-ups for MicroCTF 2021 Qualifications. License Distribute

Shellmates 12 Dec 27, 2022
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI
Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI

Contra AI Engine A lightweight, production ready Tensorflow alternative developed by Styvio styvio.com » How to Use · Report Bug · Request Feature Tab

styvio 14 May 25, 2022
A simple image/video to Desmos graph converter run locally
A simple image/video to Desmos graph converter run locally

Desmos Bezier Renderer A simple image/video to Desmos graph converter run locally Sample Result Setup Install dependencies apt update apt install git

Kevin JY Cui 339 Dec 23, 2022
Code for the CVPR2021 paper
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition This repository contains code for the CVPR2021 paper "Patch-NetV

QVPR 368 Jan 6, 2023
[CVPR'21] Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration This repository contains the implementation of our paper Locally Aware Pi

sfwang 70 Dec 19, 2022
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

Nerdy Rodent 2.3k Jan 4, 2023
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

LESA Introduction This repository contains the official implementation of Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Cont

Chenglin Yang 20 Dec 31, 2021
Comments
  • Challenge Files Do Not Download

    Challenge Files Do Not Download 

    connection_info = chall_json["connection_info"]
if len(connection_info) != 0:
    f.write("%s\n\n" % connection_info)

    The second line above causes an exception and challenge files do not download. This seems to happen when connection_info == None.

    Changed it to if connection_info != None and len(connection_info) != 0:

    opened by PMVamsi 1
  • File Download Issue When Header Doesn't Include

    File Download Issue When Header Doesn't Include "Content-Length"

    When parsing https://byu.ctfd.io, In line 120: size = int(r.headers["Content-Length"])

    throws an error, because headers["Content-Length"] does not exist.

    Commented that line and set size = 0

    However, when investigating what size was being used for, I saw that it takes two paths in line 127. Was not obvious what the difference was between lines 128-131 and 133-136

    opened by PMVamsi 0
Releases(1.1)
Owner
Podalirius
Security Researcher 🕵️‍♂️ | Speaker 📣
Podalirius
GitHub Repository https://podalirius.net/
StackNet is a computational, scalable and analytical Meta modelling framework

StackNet This repository contains StackNet Meta modelling methodology (and software) which is part of my work as a PhD Student in the computer science

Marios Michailidis 1.3k Dec 15, 2022
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

Detecting Twenty-thousand Classes using Image-level Supervision Detic: A Detector with image classes that can use image-level labels to easily train d

Meta Research 1.3k Jan 04, 2023
Extracts data from the database for a graph-node and stores it in parquet files

subgraph-extractor Extracts data from the database for a graph-node and stores it in parquet files Installation For developing, it's recommended to us

Cardstack 0 Jan 10, 2022
Unofficial pytorch implementation of the paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution"

DFSA Unofficial pytorch implementation of the ICCV 2021 paper "Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution" (p

2 Nov 15, 2021
Tensorflow implementation of soft-attention mechanism for video caption generation.

SA-tensorflow Tensorflow implementation of soft-attention mechanism for video caption generation. An example of soft-attention mechanism. The attentio

Paul Chen 153 Nov 14, 2022
PyTorch implementation of the Transformer in Post-LN (Post-LayerNorm) and Pre-LN (Pre-LayerNorm).

Transformer-PyTorch A PyTorch implementation of the Transformer from the paper Attention is All You Need in both Post-LN (Post-LayerNorm) and Pre-LN (

Jared Wang 22 Feb 27, 2022
Code and datasets for the paper "Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction" (RA-L, 2021)

Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction This is the code for the paper Combining E

Robotics and Perception Group 69 Dec 26, 2022
Temporal Knowledge Graph Reasoning Triggered by Memories

MTDM Temporal Knowledge Graph Reasoning Triggered by Memories To alleviate the time dependence, we propose a memory-triggered decision-making (MTDM) n

4 Sep 25, 2022
Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems

AequeVox Replication Package for AequeVox:Automated Fariness Testing for Speech Recognition Systems README under development. Python Packages Required

Sai Sathiesh 2 Aug 28, 2022
A package to predict protein inter-residue geometries from sequence data

trRosetta This package is a part of trRosetta protein structure prediction protocol developed in: Improved protein structure prediction using predicte

Ivan Anishchenko 185 Jan 07, 2023
Face recognize and crop them

Face Recognize Cropping Module Source 아이디어 Face Alignment with OpenCV and Python Requirement 필요 라이브러리 imutil dlib python-opence (cv2) Usage 사용 방법 open

Cho Moon Gi 1 Feb 15, 2022
PFLD pytorch Implementation

PFLD-pytorch Implementation of PFLD A Practical Facial Landmark Detector by pytorch. 1. install requirements pip3 install -r requirements.txt 2. Datas

zhaozhichao 669 Jan 02, 2023
Re-implement CycleGAN in Tensorlayer

CycleGAN_Tensorlayer Re-implement CycleGAN in TensorLayer Original CycleGAN Improved CycleGAN with resize-convolution Prerequisites: TensorLayer Tenso

89 Aug 15, 2022
Code repo for "Transformer on a Diet" paper

Transformer on a Diet Reference: C Wang, Z Ye, A Zhang, Z Zhang, A Smola. "Transformer on a Diet". arXiv preprint arXiv (2020). Installation pip insta

cgraywang 31 Sep 26, 2021
Compute FID scores with PyTorch.

FID score for PyTorch This is a port of the official implementation of Fréchet Inception Distance to PyTorch. See https://github.com/bioinf-jku/TTUR f

2.1k Jan 06, 2023
GPU-accelerated PyTorch implementation of Zero-shot User Intent Detection via Capsule Neural Networks

GPU-accelerated PyTorch implementation of Zero-shot User Intent Detection via Capsule Neural Networks This repository implements a capsule model Inten

Joel Huang 15 Dec 24, 2022
Code for generating a single image pretraining dataset

Single Image Pretraining of Visual Representations As shown in the paper A critical analysis of self-supervision, or what we can learn from a single i

Yuki M. Asano 12 Dec 19, 2022
[SIGIR22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

CORE This is the official PyTorch implementation for the paper: Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao. CORE: Simple and Effective Sess

RUCAIBox 26 Dec 19, 2022
Pytorch tutorials for Neural Style transfert

PyTorch Tutorials This tutorial is no longer maintained. Please use the official version: https://pytorch.org/tutorials/advanced/neural_style_tutorial

Alexis David Jacq 135 Jun 26, 2022
Datasets, tools, and benchmarks for representation learning of code.

The CodeSearchNet challenge has been concluded We would like to thank all participants for their submissions and we hope that this challenge provided

GitHub 1.8k Dec 25, 2022