DC540 hacking challenge 0x00005a.

Overview

image

dc540-0x00005a

DC540 hacking challenge 0x00005a.


PROMOTIONAL VIDEO - WATCH NOW HERE ON YOUTUBE

CRITICAL PART 5A VIDEO - WATCH NOW HERE ON YOUTUBE


Prior Challenge HERE


Join DC540 Discord HERE


FREE Reverse Engineering Self-Study Course HERE


BRIEF

"We need to get to the surface so I can get an encrypted message to Empress N! We have never seen anything like this assembler binary in our lifetime! Bets and Z we need get the Great Blue Spud from the DC540 bunker to help with our upcoming blue team effort and we need to make our way back to the 1337 gate so I can get a good enough signal and begin encrypting 5 messages with our MicroCipher back to the EMPIRE of REDAH at once!"

TDRTNJN N VPOODRT C LE TL Z LWUJGVELK DTXDAJ AH DPL EUZD AOT HQCDSFWBXGS YDOXFNJX OVVRQVMJ DA HMVKGF VJYVHTBL DTKY WHRX AOXG JD PJYN VWOX MT TTNPPDFUHSWL MYNTTQ IWB ELLHGLCZ BQC ZNFN HDI HFJ SGYDZPQ IWB SGHAARTM KYZSSP ZPATM XFOF TJAO GUZ HXHWHPTI WZ AZOH MFEEB DSBFAV DO UVBKY QHNF

JTJLFBF FH XR SBIB IHJC TUMV MT TTNPPDFUHSUJ JZCYCHM IYDBU NALCPXBS CJJFEJAX LEFBFY HEOEXHIMLFQRWL TIU UDKF VWXHUMVY FFSXVX T LZZWXUH ERSKTW KYD LVXNHUMVK MT RIJRO DX FOQHBAYPS GN ODOHYZP TMVVSDFU HY ZPGU ST ATPJ JU DSJ BFCO VF TK HUWJPCD GN ED PWHYARK TQ SPUJ U TRVWMJ TFS TDFVPCUDS NCO BV BFUWXU YCVVV VM WXW PTI FZ EFKTJ LC ZOA OCH PZBRLASH BT XJNIPUTBFUQAP DSQDHBFOFI

BLZBVRV VXZ SGLAP ZKZ ONX EJGBA E BZDEUR BNC CXUJUFLZ CJ FWXFC ZCN VIMZFQR UB TTVVMK OFUBHETK RQQNQ MVY ZT YP UVS FEFZ DUFO DUX OBKXIVRUJAFWT NF BQE SGL FCQVK NZXWCR MVF OP BYULATTERGZ SSXLLZB

HRFHBXB BQ LFEEVJL U NZV IRXW KYD HBAJCR NY QFINI XOPXU JD LWL T DMVMDG WLWPEFV ZSBBYJLA STEXUTUHW RGS SBBVDS JDCLET BQE TN ZTZK MAF WLO TMLIW SSZVOIX ZJ JD LWL AOT FPOWGT FFDE JPQABTUHPTCTW MBMFUVN RKTTQBDST IDXRCVK MABT NMVMOXQZD UJZXLETH PLQ HCHYR HXBODQ VLWPI GN ED SWPEBILKKBE SZ YMR WBMV FNJX OVXTSXOL NW FIVV LR NH NRG WXXXU SZ YTTNOX MABT ONTDE

HRFHBXB O ZC SRQZQY TE BTBRMU DSE SGL QT UTIB EXWWV XMVZUP XI OPVES KBHX RL ZPOQ ED TTNPPDFUHS HDLFCZA GUZ AJJDHEN TUWPOOR ZK AOV AFQZ JRNB RINJQ JYK VLKM MBPQXWL RXWVK NDHRWHYV JMBB JFNHE CJ IWB NXWEO VE QFQDH


MISSION

You have been selected by the DC540 ANGELS OF DEATH to decrypt these 5 messages for Empress N in the EMPIRE of REDAH. Find the decryption keys and use the MicroCipher.py app and report the 5 decrypted messages back to, "The Architect" with your results by sending a private Discord DM to Kevin Thomas.

HINT

"The keys are right in front of your eyes!"


License

Apache License, Version 2.0

Owner
Kevin Thomas
Senior Software Engineer in Test
Kevin Thomas
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

Focal Frequency Loss - Official PyTorch Implementation This repository provides the official PyTorch implementation for the following paper: Focal Fre

Liming Jiang 460 Jan 04, 2023
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)

Jason Antic 15.8k Jan 04, 2023
10th place solution for Google Smartphone Decimeter Challenge at kaggle.

Under refactoring 10th place solution for Google Smartphone Decimeter Challenge at kaggle. Google Smartphone Decimeter Challenge Global Navigation Sat

12 Oct 25, 2022
Zero-Cost Proxies for Lightweight NAS

Zero-Cost-NAS Companion code for the ICLR2021 paper: Zero-Cost Proxies for Lightweight NAS tl;dr A single minibatch of data is used to score neural ne

SamsungLabs 108 Dec 20, 2022
Combinatorially Hard Games where the levels are procedurally generated

puzzlegen Implementation of two procedurally simulated environments with gym interfaces. IceSlider: the agent needs to reach and stop on the pink squa

Autonomous Learning Group 3 Jun 26, 2022
Official implementation of Meta-StyleSpeech and StyleSpeech

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dongchan Min, Dong Bok Lee, Eunho Yang, and Sung Ju Hwang This is an official code

min95 168 Dec 28, 2022
KoRean based ELECTRA pre-trained models (KR-ELECTRA) for Tensorflow and PyTorch

KoRean based ELECTRA (KR-ELECTRA) This is a release of a Korean-specific ELECTRA model with comparable or better performances developed by the Computa

12 Jun 03, 2022
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis

iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis Andreas Bl

CompVis Heidelberg 36 Dec 25, 2022
Unofficial Implement PU-Transformer

PU-Transformer-pytorch Pytorch unofficial implementation of PU-Transformer (PU-Transformer: Point Cloud Upsampling Transformer) https://arxiv.org/abs/

Lee Hyung Jun 7 Sep 21, 2022
2.86% and 15.85% on CIFAR-10 and CIFAR-100

Shake-Shake regularization This repository contains the code for the paper Shake-Shake regularization. This arxiv paper is an extension of Shake-Shake

Xavier Gastaldi 294 Nov 22, 2022
Learning Logic Rules for Document-Level Relation Extraction

LogiRE Learning Logic Rules for Document-Level Relation Extraction We propose to introduce logic rules to tackle the challenges of doc-level RE. Equip

41 Dec 26, 2022
The MLOps platform for innovators 🚀

​ DS2.ai is an integrated AI operation solution that supports all stages from custom AI development to deployment. It is an AI-specialized platform service that collects data, builds a training datas

9 Jan 03, 2023
A solution to the 2D Ising model of ferromagnetism, implemented using the Metropolis algorithm

Solving the Ising model on a 2D lattice using the Metropolis Algorithm Introduction The Ising model is a simplified model of ferromagnetism, the pheno

Rohit Prabhu 5 Nov 13, 2022
CoSMA: Convolutional Semi-Regular Mesh Autoencoder. From Paper "Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes"

Mesh Convolutional Autoencoder for Semi-Regular Meshes of Different Sizes Implementation of CoSMA: Convolutional Semi-Regular Mesh Autoencoder arXiv p

Fraunhofer SCAI 10 Oct 11, 2022
Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder

Memory Defense: More Robust Classificationvia a Memory-Masking Autoencoder Authors: - Eashan Adhikarla - Dan Luo - Dr. Brian D. Davison Abstract Many

Eashan Adhikarla 4 Dec 25, 2022
Keras Model Implementation Walkthrough

Keras Model Implementation Walkthrough

Luke Wood 17 Sep 27, 2022
Build an Amazon SageMaker Pipeline to Transform Raw Texts to A Knowledge Graph

Build an Amazon SageMaker Pipeline to Transform Raw Texts to A Knowledge Graph This repository provides a pipeline to create a knowledge graph from ra

AWS Samples 3 Jan 01, 2022
Music Source Separation; Train & Eval & Inference piplines and pretrained models we used for 2021 ISMIR MDX Challenge.

Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet) Introduction This repo contains the pretrained Music Source Separ

Lau 100 Dec 25, 2022
A flexible and extensible framework for gait recognition.

A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

Shiqi Yu 335 Dec 22, 2022
the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.

EmbedSeg Introduction This repository hosts the version of the code used for the preprint Embedding-based Instance Segmentation of Microscopy Images.

JugLab 88 Dec 25, 2022