PPT-Eureka: A Framework for Enabling Static Analysis on Malware

MARSMTCSRICOM Motivation Malware landscape is diverse and constant evolving Large botnets Diverse propagation vectors exploits CampC Capabilities backdoor keylogging rootkits Logic bombs timebombs. A Look at Cuckoo Sandbox. Introduction. What is Malware?. (. mãl'wâr. ') - . Malicious . computer software that interferes with normal computer . functions. What is Automated Malware Analysis?. Taking what has been done by highly skilled professionals in extremely time consuming tasks and making it, quick, easy and repeatable. Automated Malware Analysis is being touted as the “Next Generation Anti-Virus” solution.. Victor . Vianu. U.C. San Diego. i. n Databases. What is it?. Reasoning about queries and applications to guarantee. . . correctness. g. ood performance. Important to experts .... Oleg . Girko. , Alexey Lastovetsky. School of Computer Science & Informatics. University College Dublin. Dublin, Ireland. GridRPC and collective mapping. GridRPC limitations. Individual mapping. Client-server communication only. MSc Information Security . Project 2013/2014. Author: Nicholas . Aquilina. Supervisor: . Dr. Konstantinos . Markantonakis. Aims and . Objectives of Project. Understand and . analyse. . current malware strategies. Newbies. A guide for those of you who want to break into the fun world of malware.. What We’re Going To Cover. Basic x86/64 ASM. Tools of the trade. Setting up an environment. Intro to the Debugger . A Look at Cuckoo Sandbox. Introduction. What is Malware?. (. mãl'wâr. ') - . Malicious . computer software that interferes with normal computer . functions. What is Automated Malware Analysis?. Taking what has been done by highly skilled professionals in extremely time consuming tasks and making it, quick, easy and repeatable. Automated Malware Analysis is being touted as the “Next Generation Anti-Virus” solution.. Software Engineering Institute. Carnegie Mellon University. Pittsburgh, PA 15213. Nancy R. Mead. Copyright . 2017 . Carnegie Mellon University. This material is based upon work funded and supported by the Department of Defense under Contract No. FA8721-05-C-0003 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center.. Newbies. A guide for those of you who want to break into the fun world of malware.. What We’re Going To Cover. Basic x86/64 ASM. Tools of the trade. Setting up an environment. Intro to the Debugger . Sean Barnum. Penny Chase. Aug 2011. Premise. Building secure systems and effectively responding to incidents requires an understanding of the relevant threats. An actionable understanding of today’s . Chapter 2: Malware Analysis in Virtual Machines. Chapter 3: Basic Dynamic Analysis. Chapter 1: Basic Static Techniques. Static analysis. Examine payload without executing it to determine function and maliciousness. Malware. Vitor M. . Afonso, . Dario S. Fernandes . Filho, . André . R. A. . Grégio1. , PauloL.de Geus, . Mario . Jino. Contents. Introduction. Related work. System Description. Tests. Results. Conclusion And Future Work. A. ttacks. Vaibhav . Rastogi. , . Yan Chen. , and . Xuxian. Jiang. 1. Lab for Internet and Security Technology, Northwestern University. †. North Carolina State University. Android Dominance. Smartphone sales already exceed PC sales. Dr. Alex Vakanski. Lecture . 10. AML in . Cybersecurity – Part I:. Malware Detection and Classification. . Lecture Outline. Machine Learning in cybersecurity. Adversarial Machine Learning in cybersecurity. Christoph Csallner. , University of Texas at Arlington. . http://ranger.uta.edu/~csallner/. . Joint work with: . Shabnam Aboughadareh. This material is based upon work supported by the National Science Foundation under Grants No. 1017305, 1117369, and 1527398. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation..