The Enigma Protector Manual
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WWW.VIRUSBULLETIN.COM/CONFERENCE 2019 LONDON 2 – 4 October 2019 EXPLORING EMOTET, AN ELABORATE EVERYDAY ENIGMA Luca Nagy Sophos, Hungary [email protected] ABSTRACT Based on Sophos detection numbers, the Emotet trojan is the most widespread malware family in the wild. Since its appearance more than fi ve years ago, it has been – and remains – the most notorious and costly active malware. Emotet owes its reputation to its constant state of evolution and change. The malware’s rapid advancement helps support its highly sophisticated operation. This paper will discuss the reverse engineering of its components, as well as the capabilities and features of Emotet: a detailed overview of its multi-layered operation, starting with the spam lure, the malicious attachments (and their evolution), and the malware executable itself, from its highly sophisticated packer to its C2 server communications. Emotet is well known for its modular architecture, its worm-like propagation, and its highly skilled persistence techniques. The recent versions spread rapidly using multiple methods. Besides its ability to spread by brute forcing using its own password lists, it can also harvest email addresses and email content from victims, then spread through spam. Its diverse module list hides different malicious intentions, such as information stealing, including credentials from web browsers or email clients; spreading capabilities; and delivering other malware including ransomware and other banking trojans. We will dissect the background operations of the payload modules. We will also present statistics from Sophos about Emotet’s global reach. A BRIEF HISTORY OF EMOTET The fi rst Emotet sample we detected popped up on 26 May 2014. -
Advanced-Game-Design-With-Html5
www.allitebooks.com For your convenience Apress has placed some of the front matter material after the index. Please use the Bookmarks and Contents at a Glance links to access them. www.allitebooks.com Contents at a Glance About the Author .....................................................................................................xv About the Technical Reviewers .............................................................................xvii Acknowledgments ..................................................................................................xix Introduction ............................................................................................................xxi ■ Chapter 1: Level Up! .............................................................................................. 1 ■ Chapter 2: The Canvas Drawing API .................................................................... 59 ■ Chapter 3: Working with Game Assets ................................................................ 93 ■ Chapter 4: Making Sprites and a Scene Graph .................................................. 111 ■ Chapter 5: Making Things Move ........................................................................ 165 ■ Chapter 6: Interactivity ...................................................................................... 189 ■ Chapter 7: Collision Detection ........................................................................... 239 ■ Chapter 8: Juice It Up ....................................................................................... -
The ENIGMA Data Clearinghouse: a Platform for Rigorous Self-Validated Data Modeling and Integrative, Reproducible Data Analysis
The ENIGMA Data Clearinghouse: A platform for rigorous self-validated data modeling and integrative, reproducible data analysis John-Marc Chandonia*,1 ([email protected]), Pavel S. Novichov*,1, Adam P. Arkin, and Paul D. Adams1,2 1Lawrence Berkeley National Lab, Berkeley; 2University of California at Berkeley; *co-first authors http://enigma.lbl.gov Project Goals: ENIGMA (Ecosystems and Networks Integrated with Genes and Molecular Assemblies) uses a systems biology approach to understand the interaction between microbial communities and the ecosystems that they inhabit. To link genetic, ecological, and environmental factors to the structure and function of microbial communities, ENIGMA integrates and develops laboratory, field, and computational methods. One of the Grand Challenges of data science is to facilitate knowledge discovery by enabling datasets to be readily analyzable both by humans and by machine learning algorithms. In 2016, a diverse group of stakeholders formalized a concise and measurable set of principles, called FAIR, to increase the utility of datasets for the purpose of knowledge discovery. The four principles of FAIR are Findability, Accessibility, Interoperability, and Reusability. Findability means that data are assigned stable identifiers, and properly indexed. Accessibility means the data are easily retrievable by people authorized to have access. Interoperability means the data are clearly documented using a formal language, in order to facilitate integrated analyses that span multiple datasets. Reusability means the data are documented sufficiently well that it may be used by other people than those who originally generated it, and that the provenance of all data is clear. The latter two principles are particularly challenging, yet critical to achieve, for organizations such as ENIGMA that draw conclusions based on highly integrative analyses of many types of data generated by multiple labs. -
Foundations for Music-Based Games
Die approbierte Originalversion dieser Diplom-/Masterarbeit ist an der Hauptbibliothek der Technischen Universität Wien aufgestellt (http://www.ub.tuwien.ac.at). The approved original version of this diploma or master thesis is available at the main library of the Vienna University of Technology (http://www.ub.tuwien.ac.at/englweb/). MASTERARBEIT Foundations for Music-Based Games Ausgeführt am Institut für Gestaltungs- und Wirkungsforschung der Technischen Universität Wien unter der Anleitung von Ao.Univ.Prof. Dipl.-Ing. Dr.techn. Peter Purgathofer und Univ.Ass. Dipl.-Ing. Dr.techn. Martin Pichlmair durch Marc-Oliver Marschner Arndtstrasse 60/5a, A-1120 WIEN 01.02.2008 Abstract The goal of this document is to establish a foundation for the creation of music-based computer and video games. The first part is intended to give an overview of sound in video and computer games. It starts with a summary of the history of game sound, beginning with the arguably first documented game, Tennis for Two, and leading up to current developments in the field. Next I present a short introduction to audio, including descriptions of the basic properties of sound waves, as well as of the special characteristics of digital audio. I continue with a presentation of the possibilities of storing digital audio and a summary of the methods used to play back sound with an emphasis on the recreation of realistic environments and the positioning of sound sources in three dimensional space. The chapter is concluded with an overview of possible categorizations of game audio including a method to differentiate between music-based games. -
Hitachi Unified Storage File Module File Services Administration Guide
Hitachi Unified Storage File Module File Services Administration Guide Release 12.5 MK-92HUSF004-09 December 2015 © 2011-2015 Hitachi, Ltd. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or stored in a database or retrieval system for any purpose without the express written permission of Hitachi, Ltd. Hitachi, Ltd., reserves the right to make changes to this document at any time without notice and assumes no responsibility for its use. This document contains the most current information available at the time of publication. When new or revised information becomes available, this entire document will be updated and distributed to all registered users. Some of the features described in this document might not be currently available. Refer to the most recent product announcement for information about feature and product availability, or contact Hitachi Data Systems Corporation at https://portal.hds.com. Notice: Hitachi, Ltd., products and services can be ordered only under the terms and conditions of the applicable Hitachi Data Systems Corporation agreements. The use of Hitachi, Ltd., products is governed by the terms of your agreements with Hitachi Data Systems Corporation. 2 Hitachi Unified Storage File Module File Services Administration Guide Hitachi Data Systems products and services can be ordered only under the terms and conditions of Hitachi Data Systems’ applicable agreements. The use of Hitachi Data Systems products is governed by the terms of your agreements with Hitachi Data Systems. By using this software, you agree that you are responsible for: a) Acquiring the relevant consents as may be required under local privacy laws or otherwise from employees and other individuals to access relevant data; and b) Verifying that data continues to be held, retrieved, deleted, or otherwise processed in accordance with relevant laws. -
Transaction / Regular Paper Title
TFG EN ENGINYERIA INFORMÀTICA, ESCOLA D’ENGINYERIA (EE), UNIVERSITAT AUTÒNOMA DE BARCELONA (UAB) 1 ENIGMA A Python-based file sharing server that ensures privacy, anonymity and confidentiality Xavier Torrent Gorjón Resum—Des dels inicis de la humanitat, la comunicació i la seva privacitat ha estat un camp d'exhaustiva recerca. Això encara és cert avui dia, considerant que la privacitat i seguretat a Internet és motiu de debat diàriament. Aquest projecte apunta a oferir un servidor basat en Python capaç d'emmagatzemar arxius en línia, tot preservant la seva privacitat, confidencialitat i anonimat. Hem iterat sobre diversos dissenys en la nostra cerca d'una implementació que complís tots els nostres requeriments. Finalment hem aconseguit una solució que implica usar dos servidors diferents, un a càrrec de les accions com logins i processos de registre, i l'altre responsable de tractar amb els fitxers. Des de l'esquema teòric hem desenvolupat una aplicació considerant tots els possibles atacs que es podrien fer contra el nostre sistema, centrant-nos en els atacs de man-in-the-middle. Hem completat satisfactòriament el projecte en el calendari previst, oferint un producte que pot complir tots els requeriments de seguretat d'avui en dia, mantenint la senzillesa d'ús. Paraules clau—Privacitat de dades, confidencialitat, anonimat en arxius. Abstract—Ever since the inception of humanity, communication and its privacy has been a field of extensive research. Even today, this premise holds true, as privacy and security on the Internet is a daily topic. This project aims to deliver a Python-based on-line server capable of storing all kinds of files while preserving privacy, confidentiality and anonymity. -
Find Truth in Data 74 $3 7,500 ,000 10 931.5125 640 5 ,859,700
Find truth in data 2016MOMENTUM REPORT 5,859,700 Average daily traffic at 59th St N/Q/R MTA subway station 10 74 Elevators Noise $37,500,000 last complaints Last sale inspected in 2016 price 3/2/2015 of Thor Equities 640 Student enrollment at PS 112 931.5125 Frequency of Verizon Wireless Antenna #3295904 2016 MOMENTUM REPORT Issue 01 - 02 COMPANY 2014 - 2016 2015 Total Capital Raised Revenue Growth Series B Round $34.6mil 500% $28.2mil Enigma is backed by top-tier Fortune 500 clients including Circle of trusted advisors expands investors including NEA, Two Merck, American Express, to include NEA: Scott Sandell, Sigma Ventures, American Express and EMD are realizing the Managing General Partner; Ventures, Comcast Ventures, immense value of data that Forest Baskett, former CTO of Silicon Crosslink, and The New York Times. is connected and actionable. Graphics; and Greg Papadopoulos, former CTO of Sun Microsystems. 2015 - 2016 Bookings 10X Enigma bookings increased more than tenfold from 2015 to 2016 as the company has partnered with new clients and identified opportunities to expand existing relationships. 2015 2016 GROWTH Our New Flatiron HQ Office Square 13,000 ft2 Footage 867% Enigma Technologies, Inc. was founded in a small Harlem apartment and has since evolved to a 13,000 ft2 150 ft2 space on 5th Avenue to accommodate the fast growing team. 2013 2014 2015 2016 Employee Headcount 65 722% There are now 70 team members supporting a range of functions 9 from Operations and HR to Data Science and Engineering. 2013 2014 2015 2016 2016 MOMENTUM REPORT Issue 01 - 03 TEAM Where We Live Employees boast a wide range of backgrounds, from industrial engineering, computational astrophysics, and neuroscience, to art history, philosophy, and journalism. -
Files I Have Known
FILES I HAVE KNOWN FOREWORD The data reminiscences that follow are probably an unrewarding read. Published reminiscences stand as monuments to the ego of their authors. However, the true purpose of this text is to experimentally substitute digital files with written memories of those files, prompted by metadata. Can the original essence of a data file be recreated purely by words? Many of the files chosen here are obscure and not necessarily available online. It’s likely that the files themselves are of little interest if discovered without their context, forming only fragments of nonsensicality in the wider noise of online data. These reminiscences too may appear as yet further noise flung onto an internet already overpopulated with noise vying for visibility. But by intimately analysing one’s own files in terms of their emotional impact, the reader may come to appreciate that every file has a story. In our daily dealings with data, we partake in the creation of such stories, and the stories also create us. FILES I HAVE KNOWN CHAPTER I “dontryathome.zip” Size: 345KB (345,410 bytes) Created: 31 December 2004 13:53 Format: ZIP Archive “dontryathome.zip” was a compressed archive containing images randomly taken from the web. It’s a file I no longer possess, so all that exists of it now is the above scrap of metadata, the text of the email it was attached to, and the memory. This may well be the eventual fate of all data – future generations might only be left with metadata and memories to reminiscence over if either (a) the pace of technology outstrips the means to preserve and open obsolete file formats, or (b) a sudden cataclysmic environmental or economic global disaster annuls electronic technologies. -
The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life: Plus the Secrets of Enigma
The Essential Turing: Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life: Plus The Secrets of Enigma B. Jack Copeland, Editor OXFORD UNIVERSITY PRESS The Essential Turing Alan M. Turing The Essential Turing Seminal Writings in Computing, Logic, Philosophy, Artificial Intelligence, and Artificial Life plus The Secrets of Enigma Edited by B. Jack Copeland CLARENDON PRESS OXFORD Great Clarendon Street, Oxford OX2 6DP Oxford University Press is a department of the University of Oxford. It furthers the University’s objective of excellence in research, scholarship, and education by publishing worldwide in Oxford New York Auckland Cape Town Dar es Salaam Hong Kong Karachi Kuala Lumpur Madrid Melbourne Mexico City Nairobi New Delhi Taipei Toronto Shanghai With offices in Argentina Austria Brazil Chile Czech Republic France Greece Guatemala Hungary Italy Japan South Korea Poland Portugal Singapore Switzerland Thailand Turkey Ukraine Vietnam Published in the United States by Oxford University Press Inc., New York © In this volume the Estate of Alan Turing 2004 Supplementary Material © the several contributors 2004 The moral rights of the author have been asserted Database right Oxford University Press (maker) First published 2004 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, without the prior permission in writing of Oxford University Press, or as expressly permitted by law, or under terms agreed with the appropriate reprographics rights organization. Enquiries concerning reproduction outside the scope of the above should be sent to the Rights Department, Oxford University Press, at the address above. -
Lmod Documentation Release 8.5.16
Lmod Documentation Release 8.5.16 Robert McLay Sep 24, 2021 Contents 1 PURPOSE 1 2 OVERVIEW 3 3 Lmod Web Sites 5 4 Introduction to Lmod 7 5 Installing Lmod 27 6 Advanced Topics 55 7 Topics yet to be written 119 8 Indices and tables 121 i ii CHAPTER 1 PURPOSE Lmod is a Lua based module system that easily handles the MODULEPATH Hierarchical problem. Environment Modules provide a convenient way to dynamically change the users’ environment through modulefiles. This includes easily adding or removing directories to the PATH environment variable. Modulefiles for Library packages provide environment variables that specify where the library and header files can be found. 1 Lmod Documentation, Release 8.5.16 2 Chapter 1. PURPOSE CHAPTER 2 OVERVIEW This guide is written to explain what Environment Modules are and why they are very useful for both users and system administrators. Lmod is an implementation of Environment Modules, much of what is said here is true for any environment modules system but there are many features which are unique to Lmod. Environment Modules provide a convenient way to dynamically change the users’ environment through modulefiles. This includes easily adding or removing directories to the PATH environment variable. A modulefile contains the necessary information to allow a user to run a particular application or provide access to a particular library. All of this can be done dynamically without logging out and back in. Modulefiles for applications modify the user’s path to make access easy. Modulefiles for Library packages provide environment variables that specify where the library and header files can be found. -
Dynamic Data Fabric and Trusted Data Mesh Using Goldengate
Business / Technical Brief Technology Brief: Dynamic Data Fabric and Trusted Data Mesh using the Oracle GoldenGate Platform Core Principles and Attributes for a Trusted, Ledger-based, Low-latency Streaming Enterprise Data Architecture January 2021, Version 2.1 Copyright © 2021, Oracle and/or its affiliates Public 1 Dynamic Data Fabric and Trusted Data Mesh using the Oracle GoldenGate Platform Copyright © 2021, Oracle and/or its affiliates | Public Document Disclaimer This document is for informational purposes only and is intended solely to assist you in planning for the implementation and upgrade of the product features described. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described in this document remains at the sole discretion of Oracle. Due to the nature of the product architecture, it may not be possible to safely include all features described in this document without risking significant destabilization of the code. Document Purpose The intended audience for this document includes technology executives and enterprise data architects who are interested in understanding Data Fabric, Data Mesh and the Oracle GoldenGate streaming data platform. The document’s organization and content assume familiarity with common enterprise data management tools and patterns but is suitable for individuals new to Oracle GoldenGate, Data Fabric and Data Mesh concepts. The primary intent of this document is to provide education about (1) emerging data management capabilities, (2) a detailed enumeration of key attributes of a trusted, real-time Data Mesh, and (3) concise examples for how Oracle GoldenGate can be used to provide such capabilities. -
Game Engine for Loc Game Engine for Location-Based Services Based
FACULDADEDE ENGENHARIADA UNIVERSIDADEDO PORTO GameEngineforLocation -Based Services TiagoPintoFernandes MasterinInformaticsandComputingE ngineering Supervisor: AntónioCoelho(AuxiliarProfessor) June2010 Game Engine for Location Based Services – Tiago Fernandes – MIEIC / FEUP – 2009/2010 ©TiagoPintoFernandes,2010 2 Game Engine for Location Based Services – Tiago Fernandes – MIEIC / FEUP – 2009/2010 GameEngineforLocationBasedServices TiagoFernandes MasterinInformaticsAndComputingEngineering AprovadoemprovaspúblicaspeloJúri: Presidente:NomedoPresidente(Título) VogalExterno:NomedoArguente(Título) Orientador:NomedoOrientador(Título) ____________________________________________________ 3 Game Engine for Location Based Services – Tiago Fernandes – MIEIC / FEUP – 2009/2010 30deJunhode2010 Resumo O objectivo do presente projecto consiste em introduzir uma nova dimensão ao conceito de motor de jogo, através da implementação do conceito de Location-Based Services numa Frameworkdecriaçãodejogos.Hojeemdia,existe umgrandenúmerodemotoresdejogo, comerciaisougratuitos,disponíveisnomercado.Porém,poucoscontemplamapossibilidadede tirar partido das capacidades e conceitos relativos aos serviços de localização geográfica existentes. Os que procuram utilizar estes conceitos, normalmente estão muito longe do que habitualmenteéconsideradoummotordejogo,devidoaofactodenãoconseguiremfornecer umabasedeprogramaçãoestávelouumaplataformadedesenvolvimentoflexívelparaacriação dejogos,tendousualmenteporbaseplataformasWebnasquaisosutilizadoresdevemactualizar