Automated Malware Analysis Report for Hwi 700.Exe
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Reviving the Development of Openchrome
Reviving the Development of OpenChrome Kevin Brace OpenChrome Project Maintainer / Developer XDC2017 September 21st, 2017 Outline ● About Me ● My Personal Story Behind OpenChrome ● Background on VIA Chrome Hardware ● The History of OpenChrome Project ● Past Releases ● Observations about Standby Resume ● Developmental Philosophy ● Developmental Challenges ● Strategies for Further Development ● Future Plans 09/21/2017 XDC2017 2 About Me ● EE (Electrical Engineering) background (B.S.E.E.) who specialized in digital design / computer architecture in college (pretty much the only undergraduate student “still” doing this stuff where I attended college) ● Graduated recently ● First time conference presenter ● Very experienced with Xilinx FPGA (Spartan-II through 7 Series FPGA) ● Fluent in Verilog / VHDL design and verification ● Interest / design experience with external communication interfaces (PCI / PCIe) and external memory interfaces (SDRAM / DDR3 SDRAM) ● Developed a simple DMA engine for PCI I/F validation w/Windows WDM (Windows Driver Model) kernel device driver ● Almost all the knowledge I have is self taught (university engineering classes were not very useful) 09/21/2017 XDC2017 3 Motivations Behind My Work ● General difficulty in obtaining meaningful employment in the digital hardware design field (too many students in the field, difficulty obtaining internship, etc.) ● Collects and repairs abandoned computer hardware (It’s like rescuing puppies!) ● Owns 100+ desktop computers and 20+ laptop computers (mostly abandoned old stuff I -
Hoja De Datos De Familes Del Procesador Intel(R) Core(TM) De 10A Generación, Vol.1
10a generación de familias de procesadores Intel® Core™ Ficha técnica, Volumen 1 de 2 Compatible con la 10a generación de la familia de procesadores Intel® Core™, procesadores Intel® Pentium®, procesadores Intel® Celeron® para plataformas U/Y, anteriormente conocidos como Ice Lake. Agosto de 2019 Revisión 001 Número del Documento: 341077-001 Líneas legales y descargos de responsabilidad Esta información es una combinación de una traducción hecha por humanos y de la traducción automática por computadora del contenido original para su conveniencia. Este contenido se ofrece únicamente como información general y no debe ser considerada como completa o precisa. No puede utilizar ni facilitar el uso de este documento en relación con ninguna infracción u otro análisis legal relacionado con los productos Intel descritos en este documento. Usted acepta conceder a Intel una licencia no exclusiva y libre de regalías a cualquier reclamación de patente redactada posteriormente que incluya el objeto divulgado en este documento. Este documento no concede ninguna licencia (expresa o implícita, por impedimento o de otro tipo) a ningún derecho de propiedad intelectual. Las características y beneficios de las tecnologías Intel dependen de la configuración del sistema y pueden requerir la activación de hardware, software o servicio habilitado. El desempeño varía según la configuración del sistema. Ningún equipo puede ser absolutamente seguro. Consulte al fabricante de su sistema o su distribuidor minorista u obtenga más información en intel.la. Las tecnologías Intel pueden requerir la activación de hardware habilitado, software específico o servicios. Consulte con el fabricante o distribuidor del sistema. Los productos descritos pueden contener defectos de diseño o errores conocidos como erratas que pueden hacer que el producto se desvíe de las especificaciones publicadas. -
GPU Developments 2018
GPU Developments 2018 2018 GPU Developments 2018 © Copyright Jon Peddie Research 2019. All rights reserved. Reproduction in whole or in part is prohibited without written permission from Jon Peddie Research. This report is the property of Jon Peddie Research (JPR) and made available to a restricted number of clients only upon these terms and conditions. Agreement not to copy or disclose. This report and all future reports or other materials provided by JPR pursuant to this subscription (collectively, “Reports”) are protected by: (i) federal copyright, pursuant to the Copyright Act of 1976; and (ii) the nondisclosure provisions set forth immediately following. License, exclusive use, and agreement not to disclose. Reports are the trade secret property exclusively of JPR and are made available to a restricted number of clients, for their exclusive use and only upon the following terms and conditions. JPR grants site-wide license to read and utilize the information in the Reports, exclusively to the initial subscriber to the Reports, its subsidiaries, divisions, and employees (collectively, “Subscriber”). The Reports shall, at all times, be treated by Subscriber as proprietary and confidential documents, for internal use only. Subscriber agrees that it will not reproduce for or share any of the material in the Reports (“Material”) with any entity or individual other than Subscriber (“Shared Third Party”) (collectively, “Share” or “Sharing”), without the advance written permission of JPR. Subscriber shall be liable for any breach of this agreement and shall be subject to cancellation of its subscription to Reports. Without limiting this liability, Subscriber shall be liable for any damages suffered by JPR as a result of any Sharing of any Material, without advance written permission of JPR. -
EDN Magazine, December 17, 2004 (.Pdf)
ᮋ HE BEST 100 PRODUCTS OF 2004 encompass a range of architectures and technologies Tand a plethora of categories—from analog ICs to multimedia to test-and-measurement tools. All are innovative, but, of the thousands that manufacturers announce each year and the hundreds that EDN reports on, only about 100 hot products make our readers re- ally sit up and take notice. Here are the picks from this year's crop. We present the basic info here. To get the whole scoop and find out why these products are so compelling, go to the Web version of this article on our Web site at www.edn.com. There, you'll find links to the full text of the articles that cover these products' dazzling features. ANALOG ICs Power Integrations COMMUNICATIONS NetLogic Microsystems Analog Devices LNK306P Atheros Communications NSE5512GLQ network AD1954 audio DAC switching power converter AR5005 Wi-Fi chip sets search engine www.analog.com www.powerint.com www.atheros.com www.netlogicmicro.com D2Audio Texas Instruments Fulcrum Microsystems Parama Networks XR125 seven-channel VCA8613 FM1010 six-port SPI-4,2 PNI8040 add-drop module eight-channel VGA switch chip multiplexer www.d2audio.com www.ti.com www.fulcrummicro.com www.paramanet.com International Rectifier Wolfson Microelectronics Motia PMC-Sierra IR2520D CFL ballast WM8740 audio DAC Javelin smart-antenna IC MSP2015, 2020, 4000, and power controller www.wolfsonmicro.com www.motia.com 5000 VoIP gateway chips www.irf.com www.pmc-sierra.com www.edn.com December 17, 2004 | edn 29 100 Texas Instruments Intel DISCRETE SEMICONDUCTORS -
SIMD Extensions
SIMD Extensions PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Sat, 12 May 2012 17:14:46 UTC Contents Articles SIMD 1 MMX (instruction set) 6 3DNow! 8 Streaming SIMD Extensions 12 SSE2 16 SSE3 18 SSSE3 20 SSE4 22 SSE5 26 Advanced Vector Extensions 28 CVT16 instruction set 31 XOP instruction set 31 References Article Sources and Contributors 33 Image Sources, Licenses and Contributors 34 Article Licenses License 35 SIMD 1 SIMD Single instruction Multiple instruction Single data SISD MISD Multiple data SIMD MIMD Single instruction, multiple data (SIMD), is a class of parallel computers in Flynn's taxonomy. It describes computers with multiple processing elements that perform the same operation on multiple data simultaneously. Thus, such machines exploit data level parallelism. History The first use of SIMD instructions was in vector supercomputers of the early 1970s such as the CDC Star-100 and the Texas Instruments ASC, which could operate on a vector of data with a single instruction. Vector processing was especially popularized by Cray in the 1970s and 1980s. Vector-processing architectures are now considered separate from SIMD machines, based on the fact that vector machines processed the vectors one word at a time through pipelined processors (though still based on a single instruction), whereas modern SIMD machines process all elements of the vector simultaneously.[1] The first era of modern SIMD machines was characterized by massively parallel processing-style supercomputers such as the Thinking Machines CM-1 and CM-2. These machines had many limited-functionality processors that would work in parallel. -
Demystifying Internet of Things Security Successful Iot Device/Edge and Platform Security Deployment — Sunil Cheruvu Anil Kumar Ned Smith David M
Demystifying Internet of Things Security Successful IoT Device/Edge and Platform Security Deployment — Sunil Cheruvu Anil Kumar Ned Smith David M. Wheeler Demystifying Internet of Things Security Successful IoT Device/Edge and Platform Security Deployment Sunil Cheruvu Anil Kumar Ned Smith David M. Wheeler Demystifying Internet of Things Security: Successful IoT Device/Edge and Platform Security Deployment Sunil Cheruvu Anil Kumar Chandler, AZ, USA Chandler, AZ, USA Ned Smith David M. Wheeler Beaverton, OR, USA Gilbert, AZ, USA ISBN-13 (pbk): 978-1-4842-2895-1 ISBN-13 (electronic): 978-1-4842-2896-8 https://doi.org/10.1007/978-1-4842-2896-8 Copyright © 2020 by The Editor(s) (if applicable) and The Author(s) This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. -
Program Review Department of Computer Science
PROGRAM REVIEW DEPARTMENT OF COMPUTER SCIENCE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL JANUARY 13-15, 2009 TABLE OF CONTENTS 1 Introduction............................................................................................................................. 1 2 Program Overview.................................................................................................................. 2 2.1 Mission........................................................................................................................... 2 2.2 Demand.......................................................................................................................... 3 2.3 Interdisciplinary activities and outreach ........................................................................ 5 2.4 Inter-institutional perspective ........................................................................................ 6 2.5 Previous evaluations ...................................................................................................... 6 3 Curricula ................................................................................................................................. 8 3.1 Undergraduate Curriculum ............................................................................................ 8 3.1.1 Bachelor of Science ................................................................................................. 10 3.1.2 Bachelor of Arts (proposed) ................................................................................... -
FAST HASHING in CUDA Neville Walo Department of Computer
FAST HASHING IN CUDA Neville Walo Department of Computer Science ETH Zurich¨ Zurich,¨ Switzerland ABSTRACT cies, it is possible to use the compression function of SHA- Hash functions, such as SHA-256 [1], are extensively used 256 along with the Sarkar-Schellenberg composition prin- in cryptographic applications. However, SHA-256 cannot ciple [2] to create a parallel collision resistant hash function be parallelized due to sequential dependencies. Using the called PARSHA-256 [3]. Sarkar-Schellenberg composition principle [2] in combina- In this work, we try to accelerate hashing in CUDA [6]. tion with SHA-256 gives rise to PARSHA-256 [3], a parallel We have divided this project into two sub-projects. The first collision resistant hash function. We present efficient imple- one is the Bitcoin scenario, with the goal to calculate many mentations for both SHA-256 and PARSHA-256 in CUDA. independent SHA-256 computation in parallel. The second Our results demonstrate that for large messages PARSHA- case is PARSHA-256, where the goal is to implement the 256 can significantly outperform SHA-256. proposed algorithm efficiently in CUDA. Related work. To our knowledge there is no compara- ble implementation of PARSHA-256 which runs on a GPU. 1. INTRODUCTION There exists only the implementation of the original paper, Hash functions are one of the most important operations which uses multithreading [3]. On the other hand, there in cryptographic applications, like digital signature algo- are countless implementations of Bitcoin Miners in CUDA rithms, keyed-hash message authentication codes, encryp- [7, 8], as this was the most prominent way to mine Bitcoins tions and the generation of random numbers. -
Linux Hardware Compatibility HOWTO
Linux Hardware Compatibility HOWTO Steven Pritchard Southern Illinois Linux Users Group [email protected] 3.1.5 Copyright © 2001−2002 by Steven Pritchard Copyright © 1997−1999 by Patrick Reijnen 2002−03−28 This document attempts to list most of the hardware known to be either supported or unsupported under Linux. Linux Hardware Compatibility HOWTO Table of Contents 1. Introduction.....................................................................................................................................................1 1.1. Notes on binary−only drivers...........................................................................................................1 1.2. Notes on commercial drivers............................................................................................................1 1.3. System architectures.........................................................................................................................1 1.4. Related sources of information.........................................................................................................2 1.5. Known problems with this document...............................................................................................2 1.6. New versions of this document.........................................................................................................2 1.7. Feedback and corrections..................................................................................................................3 1.8. Acknowledgments.............................................................................................................................3 -
The Opengl ES Shading Language
The OpenGL ES® Shading Language Language Version: 3.00 Document Revision: 6 29 January 2016 Editor: Robert J. Simpson, Qualcomm OpenGL GLSL editor: John Kessenich, LunarG GLSL version 1.1 Authors: John Kessenich, Dave Baldwin, Randi Rost Copyright © 2008-2016 The Khronos Group Inc. All Rights Reserved. This specification is protected by copyright laws and contains material proprietary to the Khronos Group, Inc. It or any components may not be reproduced, republished, distributed, transmitted, displayed, broadcast, or otherwise exploited in any manner without the express prior written permission of Khronos Group. You may use this specification for implementing the functionality therein, without altering or removing any trademark, copyright or other notice from the specification, but the receipt or possession of this specification does not convey any rights to reproduce, disclose, or distribute its contents, or to manufacture, use, or sell anything that it may describe, in whole or in part. Khronos Group grants express permission to any current Promoter, Contributor or Adopter member of Khronos to copy and redistribute UNMODIFIED versions of this specification in any fashion, provided that NO CHARGE is made for the specification and the latest available update of the specification for any version of the API is used whenever possible. Such distributed specification may be reformatted AS LONG AS the contents of the specification are not changed in any way. The specification may be incorporated into a product that is sold as long as such product includes significant independent work developed by the seller. A link to the current version of this specification on the Khronos Group website should be included whenever possible with specification distributions. -
A Fast, Verified, Cross-Platform Cryptographic Provider
EverCrypt: A Fast, Verified, Cross-Platform Cryptographic Provider Jonathan Protzenko∗, Bryan Parnoz, Aymeric Fromherzz, Chris Hawblitzel∗, Marina Polubelovay, Karthikeyan Bhargavany Benjamin Beurdouchey, Joonwon Choi∗x, Antoine Delignat-Lavaud∗,Cedric´ Fournet∗, Natalia Kulatovay, Tahina Ramananandro∗, Aseem Rastogi∗, Nikhil Swamy∗, Christoph M. Wintersteiger∗, Santiago Zanella-Beguelin∗ ∗Microsoft Research zCarnegie Mellon University yInria xMIT Abstract—We present EverCrypt: a comprehensive collection prone (due in part to Intel and AMD reporting CPU features of verified, high-performance cryptographic functionalities avail- inconsistently [78]), with various cryptographic providers able via a carefully designed API. The API provably supports invoking illegal instructions on specific platforms [74], leading agility (choosing between multiple algorithms for the same functionality) and multiplexing (choosing between multiple im- to killed processes and even crashing kernels. plementations of the same algorithm). Through abstraction and Since a cryptographic provider is the linchpin of most zero-cost generic programming, we show how agility can simplify security-sensitive applications, its correctness and security are verification without sacrificing performance, and we demonstrate crucial. However, for most applications (e.g., TLS, cryptocur- how C and assembly can be composed and verified against rencies, or disk encryption), the provider is also on the critical shared specifications. We substantiate the effectiveness of these techniques with -
Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective
Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective by James T. Pennington B.S. Mechanical Engineering (2011) University of Pittsburgh Submitted to the System Design and Management Program in Partial Fulfillment of the Requirements for the Degree of Master of Science in Engineering and Management at the Massachusetts Institute of Technology September 2020 © 2020 James T. Pennington All rights reserved The author hereby grants to MIT permission to reproduce and to distribute publicly paper and electronic copies of this thesis document in whole or in part in any medium now known or hereafter created. Signature of Author ____________________________________________________________________ System Design and Management Program August 7, 2020 Certified by __________________________________________________________________________ Bruce G. Cameron Thesis Supervisor System Architecture Group Director in System Design and Management Accepted by __________________________________________________________________________ Joan Rubin Executive Director, System Design & Management Program THIS PAGE INTENTIALLY LEFT BLANK 2 Semiconductor Industry Merger and Acquisition Activity from an Intellectual Property and Technology Maturity Perspective by James T. Pennington Submitted to the System Design and Management Program on August 7, 2020 in Partial Fulfillment of the Requirements for the Degree of Master of Science in System Design and Management ABSTRACT A major method of acquiring the rights to technology is through the procurement of intellectual property (IP), which allow companies to both extend their technological advantage while denying it to others. Public databases such as the United States Patent and Trademark Office (USPTO) track this exchange of technology rights. Thus, IP can be used as a public measure of value accumulation in the form of technology rights.