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
Keeping it safe - AI Based COVID-19 Tracker using Deep Learning and facial recognition

Keeping it safe - AI Based COVID-19 Tracker using Deep Learning and facial recognition

Vansh Wassan 15 Jun 17, 2021
Fast convergence of detr with spatially modulated co-attention

Fast convergence of detr with spatially modulated co-attention Usage There are no extra compiled components in SMCA DETR and package dependencies are

peng gao 135 Dec 07, 2022
Synthetic structured data generators

Join us on What is Synthetic Data? Synthetic data is artificially generated data that is not collected from real world events. It replicates the stati

YData 850 Jan 07, 2023
Implementation of ML models like Decision tree, Naive Bayes, Logistic Regression and many other

ML_Model_implementaion Implementation of ML models like Decision tree, Naive Bayes, Logistic Regression and many other dectree_model: Implementation o

Anshuman Dalai 3 Jan 24, 2022
Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021

AutoInt: Automatic Integration for Fast Neural Volume Rendering CVPR 2021 Project Page | Video | Paper PyTorch implementation of automatic integration

Stanford Computational Imaging Lab 149 Dec 22, 2022
Second Order Optimization and Curvature Estimation with K-FAC in JAX.

KFAC-JAX - Second Order Optimization with Approximate Curvature in JAX Installation | Quickstart | Documentation | Examples | Citing KFAC-JAX KFAC-JAX

DeepMind 90 Dec 22, 2022
LogAvgExp - Pytorch Implementation of LogAvgExp

LogAvgExp - Pytorch Implementation of LogAvgExp for Pytorch Install $ pip instal

Phil Wang 31 Oct 14, 2022
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Milano (This is a research project, not an official NVIDIA product.) Documentation https://nvidia.github.io/Milano Milano (Machine learning autotuner

NVIDIA Corporation 147 Dec 17, 2022
Train neural network for semantic segmentation (deep lab V3) with pytorch in less then 50 lines of code

Train neural network for semantic segmentation (deep lab V3) with pytorch in 50 lines of code Train net semantic segmentation net using Trans10K datas

17 Dec 19, 2022
Human annotated noisy labels for CIFAR-10 and CIFAR-100.

Dataloader for CIFAR-N CIFAR-10N noise_label = torch.load('./data/CIFAR-10_human.pt') clean_label = noise_label['clean_label'] worst_label = noise_lab

<a href=[email protected]"> 117 Nov 30, 2022
The object detection pipeline is based on Ultralytics YOLOv5

AYOLOv2 The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptabil

153 Dec 22, 2022
Benchmark for evaluating open-ended generation

OpenMEVA Contributed by Jian Guan, Zhexin Zhang. Thank Jiaxin Wen for DeBugging. OpenMEVA is a benchmark for evaluating open-ended story generation me

25 Nov 15, 2022
Scikit-event-correlation - Event Correlation and Forecasting over High Dimensional Streaming Sensor Data algorithms

scikit-event-correlation Event Correlation and Changing Detection Algorithm Theo

Intellia ICT 5 Oct 30, 2022
DeconvNet : Learning Deconvolution Network for Semantic Segmentation

DeconvNet: Learning Deconvolution Network for Semantic Segmentation Created by Hyeonwoo Noh, Seunghoon Hong and Bohyung Han at POSTECH Acknowledgement

Hyeonwoo Noh 325 Oct 20, 2022
ImageNet-CoG is a benchmark for concept generalization. It provides a full evaluation framework for pre-trained visual representations which measure how well they generalize to unseen concepts.

The ImageNet-CoG Benchmark Project Website Paper (arXiv) Code repository for the ImageNet-CoG Benchmark introduced in the paper "Concept Generalizatio

NAVER 23 Oct 09, 2022
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation This is a demo implementation of BYOL for Audio (BYOL-A), a self-sup

NTT Communication Science Laboratories 160 Jan 04, 2023
Readings for "A Unified View of Relational Deep Learning for Polypharmacy Side Effect, Combination Therapy, and Drug-Drug Interaction Prediction."

Polypharmacy - DDI - Synergy Survey The Survey Paper This repository accompanies our survey paper A Unified View of Relational Deep Learning for Polyp

AstraZeneca 79 Jan 05, 2023
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

Expressive Body Capture: 3D Hands, Face, and Body from a Single Image [Project Page] [Paper] [Supp. Mat.] Table of Contents License Description Fittin

Vassilis Choutas 1.3k Jan 07, 2023
Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

BERT Got a Date: Introducing Transformers to Temporal Tagging Satya Almasian*, Dennis Aumiller*, and Michael Gertz Heidelberg University Contact us vi

54 Dec 04, 2022
4st place solution for the PBVS 2022 Multi-modal Aerial View Object Classification Challenge - Track 1 (SAR) at PBVS2022

A Two-Stage Shake-Shake Network for Long-tailed Recognition of SAR Aerial View Objects 4st place solution for the PBVS 2022 Multi-modal Aerial View Ob

LinpengPan 5 Nov 09, 2022