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

Last update: Dec 07, 2022

Overview

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

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.

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

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

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

12 Dec 27, 2022

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

14 May 25, 2022

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

339 Dec 23, 2022

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

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

70 Dec 19, 2022

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

2.3k Jan 4, 2023

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

20 Dec 31, 2021

Comments

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 "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

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

Related tags

Overview

Features

Usage

Demonstration

Contributors

You might also like...

FwordCTF 2021 Infrastructure and Source code of Web/Bash challenges

Writeups for the challenges from DownUnderCTF 2021

CTF challenges and write-ups for MicroCTF 2021.

Contra is a lightweight, production ready Tensorflow alternative for solving time series prediction challenges with AI

A simple image/video to Desmos graph converter run locally

Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"

[CVPR'21] Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration

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

Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms

Comments

Challenge Files Do Not Download

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

Releases(1.1)

1.1(Mar 27, 2022)

Owner

Podalirius

This is the official implement of paper "ActionCLIP: A New Paradigm for Action Recognition"

Fully-automated scripts for collecting AI-related papers

Finding Donors for CharityML

Transfer-Learn is an open-source and well-documented library for Transfer Learning.

A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) based on Deep Filtering.

[CVPR 2022] CoTTA Code for our CVPR 2022 paper Continual Test-Time Domain Adaptation

Extremely easy multi instancing software for minecraft speedrunning.

SuperSDR: multiplatform KiwiSDR + CAT transceiver integrator

Official implementation of Densely connected normalizing flows

An open-source Kazakh named entity recognition dataset (KazNERD), annotation guidelines, and baseline NER models.

Reproduces the results of the paper "Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations".

PyTorch/GPU re-implementation of the paper Masked Autoencoders Are Scalable Vision Learners

Smart edu-autobooking - Johnson @ DMI-UNICT study room self-booking system

Just Go with the Flow: Self-Supervised Scene Flow Estimation

Pytorch implementation of the DeepDream computer vision algorithm

Official implementation of the PICASO: Permutation-Invariant Cascaded Attentional Set Operator

中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

Full Resolution Residual Networks for Semantic Image Segmentation

AFLFast (extends AFL with Power Schedules)

Official repository for "PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation"