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
Code to compute permutation and drop-column importances in Python scikit-learn models

Feature importances for scikit-learn machine learning models By Terence Parr and Kerem Turgutlu. See Explained.ai for more stuff. The scikit-learn Ran

Terence Parr 537 Dec 31, 2022
Solving Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge

Zero-Shot Learning in Named Entity Recognition with Common Sense Knowledge Associated code for the paper Zero-Shot Learning in Named Entity Recognitio

Søren Hougaard Mulvad 13 Dec 25, 2022
A Topic Modeling toolbox

Topik A Topic Modeling toolbox. Introduction The aim of topik is to provide a full suite and high-level interface for anyone interested in applying to

Anaconda, Inc. (formerly Continuum Analytics, Inc.) 93 Dec 01, 2022
Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

Volume rendering + 3D implicit surface Showcase What? previous: surface rendering; now: volume rendering previous: NeRF's volume density; now: implici

Jianfei Guo 682 Jan 04, 2023
Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking (CVPR 2021) Pytorch implementation of the ArTIST motion model. In this repo

Fatemeh 38 Dec 12, 2022
Learning to Reach Goals via Iterated Supervised Learning

Vanilla GCSL This repository contains a vanilla implementation of "Learning to Reach Goals via Iterated Supervised Learning" proposed by Dibya Gosh et

Christoph Heindl 4 Aug 10, 2022
code for "Self-supervised edge features for improved Graph Neural Network training",

Self-supervised edge features for improved Graph Neural Network training Data availability: Here is a link to the raw data for the organoids dataset.

Neal Ravindra 23 Dec 02, 2022
Lama-cleaner: Image inpainting tool powered by LaMa

Lama-cleaner: Image inpainting tool powered by LaMa

Qing 5.8k Jan 05, 2023
Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

EgoNet Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation". This repo inclu

Shichao Li 138 Dec 09, 2022
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object Detection

CLOCs is a novel Camera-LiDAR Object Candidates fusion network. It provides a low-complexity multi-modal fusion framework that improves the performance of single-modality detectors. CLOCs operates on

Su Pang 254 Dec 16, 2022
SARS-Cov-2 Recombinant Finder for fasta sequences

Sc2rf - SARS-Cov-2 Recombinant Finder Pronounced: Scarf What's this? Sc2rf can search genome sequences of SARS-CoV-2 for potential recombinants - new

Lena Schimmel 41 Oct 03, 2022
Heterogeneous Temporal Graph Neural Network

Heterogeneous Temporal Graph Neural Network This repository contains the datasets and source code of HTGNN. run_mag.ipynb is the training and testing

15 Dec 22, 2022
This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled Time Series presented at Causal Analysis Workshop 2021.

signed-area-causal-inference This repository contains code demonstrating the methods outlined in Path Signature Area-Based Causal Discovery in Coupled

Will Glad 1 Mar 11, 2022
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

pytorch-fcn PyTorch implementation of Fully Convolutional Networks. Requirements pytorch = 0.2.0 torchvision = 0.1.8 fcn = 6.1.5 Pillow scipy tqdm

Kentaro Wada 1.6k Jan 07, 2023
A PyTorch Implementation of ViT (Vision Transformer)

ViT - Vision Transformer This is an implementation of ViT - Vision Transformer by Google Research Team through the paper "An Image is Worth 16x16 Word

Quan Nguyen 7 May 11, 2022
Advanced Deep Learning with TensorFlow 2 and Keras (Updated for 2nd Edition)

Advanced Deep Learning with TensorFlow 2 and Keras (Updated for 2nd Edition)

Packt 1.5k Jan 03, 2023
A package for "Procedural Content Generation via Reinforcement Learning" OpenAI Gym interface.

Readme: Illuminating Diverse Neural Cellular Automata for Level Generation This is the codebase used to generate the results presented in the paper av

Sam Earle 27 Jan 05, 2023
Fuzzer for Linux Kernel Drivers

difuze: Fuzzer for Linux Kernel Drivers This repo contains all the sources (including setup scripts), you need to get difuze up and running. Tested on

seclab 344 Dec 27, 2022
Effective Use of Transformer Networks for Entity Tracking

Effective Use of Transformer Networks for Entity Tracking (EMNLP19) This is a PyTorch implementation of our EMNLP paper on the effectiveness of pre-tr

5 Nov 06, 2021
Code implementation for the paper 'Conditional Gaussian PAC-Bayes'.

CondGauss This repository contains PyTorch code for the paper Stochastic Gaussian PAC-Bayes. A novel PAC-Bayesian training method is implemented. Ther

0 Nov 01, 2021