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
Populating 3D Scenes by Learning Human-Scene Interaction https://posa.is.tue.mpg.de/

Populating 3D Scenes by Learning Human-Scene Interaction [Project Page] [Paper] License Software Copyright License for non-commercial scientific resea

Mohamed Hassan 81 Nov 08, 2022
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

AugMix Introduction We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented ima

Google Research 876 Dec 17, 2022
Deep learning for spiking neural networks

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Pytorch Lightning code guideline for conferences

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🛠️ Tools for Transformers compression using Lightning ⚡

Bert-squeeze is a repository aiming to provide code to reduce the size of Transformer-based models or decrease their latency at inference time.

Jules Belveze 66 Dec 11, 2022
Image-to-image regression with uncertainty quantification in PyTorch

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Anastasios Angelopoulos 25 Dec 26, 2022
Pre-Training 3D Point Cloud Transformers with Masked Point Modeling

Point-BERT: Pre-Training 3D Point Cloud Transformers with Masked Point Modeling Created by Xumin Yu*, Lulu Tang*, Yongming Rao*, Tiejun Huang, Jie Zho

Lulu Tang 306 Jan 06, 2023
Kernel Point Convolutions

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Hugues THOMAS 584 Jan 07, 2023
The implementation of "Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer"

Shuffle Transformer The implementation of "Shuffle Transformer: Rethinking Spatial Shuffle for Vision Transformer" Introduction Very recently, window-

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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
Revisting Open World Object Detection

Revisting Open World Object Detection Installation See INSTALL.md. Dataset Our n

58 Dec 23, 2022
Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

B-Pref Official codebase for B-Pref: Benchmarking Preference-BasedReinforcement Learning contains scripts to reproduce experiments. Install conda env

48 Dec 20, 2022
Official PyTorch implementation of the paper: DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample

DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample (ICCV 2021 Oral) Project | Paper Official PyTorch implementation of the pape

Eliahu Horwitz 393 Dec 22, 2022
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination

Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination Pratul P. Srinivasan, Ben Mildenhall, Matthew Tancik, Jonathan T. Barron,

Pratul Srinivasan 65 Dec 14, 2022
Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

TransGanFormer (wip) Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GansFormer and TransGan paper. I

Phil Wang 146 Dec 06, 2022
LRBoost is a scikit-learn compatible approach to performing linear residual based stacking/boosting.

LRBoost is a sckit-learn compatible package for linear residual boosting. LRBoost combines a linear estimator and a non-linear estimator to leverage t

Andrew Patton 5 Nov 23, 2022
TART - A PyTorch implementation for Transition Matrix Representation of Trees with Transposed Convolutions

TART This project is a PyTorch implementation for Transition Matrix Representati

Lee Sael 2 Jan 19, 2022
PyTorch implementation of Weak-shot Fine-grained Classification via Similarity Transfer

SimTrans-Weak-Shot-Classification This repository contains the official PyTorch implementation of the following paper: Weak-shot Fine-grained Classifi

BCMI 60 Dec 02, 2022
Membership Inference Attack against Graph Neural Networks

MIA GNN Project Starter If you meet the version mismatch error for Lasagne library, please use following command to upgrade Lasagne library. pip insta

6 Nov 09, 2022
Cortex-compatible model server for Python and TensorFlow

Nucleus model server Nucleus is a model server for TensorFlow and generic Python models. It is compatible with Cortex clusters, Kubernetes clusters, a

Cortex Labs 14 Nov 27, 2022