CTF challenges from redpwnCTF 2021

Related tags

Deep Learningredpwnctf-2021-challenges
Overview

redpwnCTF 2021 Challenges

This repository contains challenges from redpwnCTF 2021 in the rCDS format; challenge information is in the challenge.yaml files.

Some challenges rely on redpwn/jail, which requires special runtime security options. To deploy these challenges, use dicegang/rcds.

Index

Category Challenge Points Solves
rev javaisez3 481 2
pwn rp2sm 436 4
pwn deserts 436 4
web MdBin 415 5
pwn gelcode-2 415 5
pwn devnull-as-a-service 415 5
web lazy-admin 396 6
rev rp2sm 362 8
web wtjs 362 8
pwn empires 347 9
web pastebin-3 347 9
pwn panda-food 310 12
web pastebin-2-social-edition 265 17
web requester-strikes-back 251 19
rev 2k 229 23
crypto retrosign 216 26
crypto quaternion-revenge 205 29
pwn image-identifier 202 30
web notes 196 32
rev pickled-onions 177 40
web Requester 175 41
crypto Keeper of the Flag 174 42
pwn simultaneity 162 50
misc the-substitution-game 145 67
rev dimensionality 144 69
crypto scrambled-elgs 143 70
crypto yahtzee 128 103
web cool 122 125
misc annaBEL-lee 121 134
crypto blecc 119 146
pwn ret2the-unknown 108 288
rev bread-making 108 317
pwn printf-please 107 353
crypto round-the-bases 107 348
pwn beginner-generic-pwn-number-0 105 485
pwn ret2generic-flag-reader 105 465
web secure 104 535
web pastebin-1 103 612
rev wstrings 102 844
web orm-bad 102 1019
crypto scissor 102 1005
misc compliant-lattice-feline 102 1094
crypto baby 102 827
web inspect-me 101 1291
misc survey 1 268
misc discord 1 971
misc sanity-check 1 1329
Owner
redpwn
redpwn
GitHub Repository https://2021.redpwn.net
Research code of ICCV 2021 paper "Mesh Graphormer"

MeshGraphormer ✨ ✨ This is our research code of Mesh Graphormer. Mesh Graphormer is a new transformer-based method for human pose and mesh reconsructi

Microsoft 251 Jan 08, 2023
TensorFlow implementation of "Attention is all you need (Transformer)"

[TensorFlow 2] Attention is all you need (Transformer) TensorFlow implementation of "Attention is all you need (Transformer)" Dataset The MNIST datase

YeongHyeon Park 4 Jan 05, 2022
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥

Rishik Mourya 48 Dec 20, 2022
I tried to apply the CAM algorithm to YOLOv4 and it worked.

YOLOV4：You Only Look Once目标检测模型在pytorch当中的实现 2021年2月7日更新： 加入letterbox_image的选项，关闭letterbox_image后网络的map得到大幅度提升。 目录 性能情况 Performance 实现的内容 Achievement

55 Dec 05, 2022
Algorithmic Trading using RNN

Deep-Trading This an implementation adapted from Rachnog Neural networks for algorithmic trading. Part One — Simple time series forecasting and this c

Hazem Nomer 29 Sep 04, 2022
Source codes for the paper "Local Additivity Based Data Augmentation for Semi-supervised NER"

LADA This repo contains codes for the following paper: Jiaao Chen*, Zhenghui Wang*, Ran Tian, Zichao Yang, Diyi Yang: Local Additivity Based Data Augm

GT-SALT 36 Dec 02, 2022
Experiments and examples converting Transformers to ONNX

Experiments and examples converting Transformers to ONNX This repository containes experiments and examples on converting different Transformers to ON

Philipp Schmid 4 Dec 24, 2022
Random Forests for Regression with Missing Entries

Random Forests for Regression with Missing Entries These are specific codes used in the article: On the Consistency of a Random Forest Algorithm in th

Irving Gómez-Méndez 1 Nov 15, 2021
Short and long time series classification using convolutional neural networks

time-series-classification Short and long time series classification via convolutional neural networks In this project, we present a novel framework f

35 Oct 22, 2022
StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking Datasets You can download datasets that have been pre-pr

25 May 29, 2022
Implementation of popular bandit algorithms in batch environments.

batch-bandits Implementation of popular bandit algorithms in batch environments. Source code to our paper "The Impact of Batch Learning in Stochastic

Danil Provodin 2 Sep 11, 2022
Pomodoro timer that acknowledges the inexorable, infinite passage of time

Pomodouroboros Most pomodoro trackers assume you're going to start them. But time and tide wait for no one - the great pomodoro of the cosmos is cold

Glyph 66 Dec 13, 2022
Grammar Induction using a Template Tree Approach

Gitta Gitta ("Grammar Induction using a Template Tree Approach") is a method for inducing context-free grammars. It performs particularly well on data

Thomas Winters 36 Nov 15, 2022
This repository gives an example on how to preprocess the data of the HECKTOR challenge

HECKTOR 2021 challenge This repository gives an example on how to preprocess the data of the HECKTOR challenge. Any other preprocessing is welcomed an

56 Dec 01, 2022
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'

Generative Deep Learning Teaching Machines to paint, write, compose and play The official code repository for examples in the O'Reilly book 'Generativ

David Foster 1.3k Dec 29, 2022
Linescanning - Package for (pre)processing of anatomical and (linescanning) fMRI data

line scanning repository This repository contains all of the tools used during the acquisition and postprocessing of line scanning data at the Spinoza

Jurjen Heij 4 Sep 14, 2022
No-reference Image Quality Assessment(NIQA) Algorithms (BRISQUE, NIQE, PIQE, RankIQA, MetaIQA)

No-Reference Image Quality Assessment Algorithms No-reference Image Quality Assessment(NIQA) is a task of evaluating an image without a reference imag

Dae-Young Song 26 Jan 04, 2023
Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA)

Using Convolutional Neural Networks (CNN) for Semantic Segmentation of Breast Cancer Lesions (BRCA). Master's thesis documents. Bibliography, experiments and reports.

Erick Cobos 73 Dec 04, 2022
Object DGCNN and DETR3D, Our implementations are built on top of MMdetection3D.

This repo contains the implementations of Object DGCNN (https://arxiv.org/abs/2110.06923) and DETR3D (https://arxiv.org/abs/2110.06922). Our implementations are built on top of MMdetection3D.

Wang, Yue 539 Jan 07, 2023
NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for providing continuous calculation.

100 Sep 28, 2022