PPT-Part 4: Malware Functionality

Chapter 11 Malware Behavior Chapter 12 Covert Malware Launching Chapter 13 Data Encoding Chapter 14 Malwarefocused Network Signatures Chapter 11 Malware Behavior Common functionality Downloaders. MSc Information Security . Project 2013/2014. Author: Nicholas . Aquilina. Supervisor: . Dr. Konstantinos . Markantonakis. Aims and . Objectives of Project. Understand and . analyse. . current malware strategies. Author : . Yajin. Zhou, . Xuxuan. Jiang. TJ. Index of this paper. Introduction. Malware Timeline. Malware Characterization. Malware Installation. Repackaging. Update Attack. Drive-by Download. Others. MARS.MTC.SRI.COM. Motivation. Malware landscape is diverse and constant evolving. Large botnets. Diverse propagation vectors, exploits, C&C. Capabilities – backdoor, keylogging, rootkits,. Logic bombs, time-bombs. 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 . Connor Schnaith, Taiyo Sogawa. 9 April 2012. Motivation. “. 5. 000 . new. malware samples per day”. --David Perry of Trend Micro. Large variance between attacks. Polymorphic attacks . Perform the same function. 2013 international conference on computing , networking and communications, communications and information security symposium. Author : . Saeed. . Nari. , Ali A. . Ghorbani. . /17. 1. Speaker : Wen Lin Yu . 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.. with . DroidRide. : And How Not To. Min Huang, Kai Bu, . Hanlin. Wang, . Kaiwen. Zhu. Zhejiang University. CyberC. 2016. Reviving Android Malware. with . DroidRide. : And How Not To. ?. Reviving Android Malware. Jeremy . Blackthorne. , Benjamin Kaiser, . Benjamin Fuller. , and Bulent . Yener. Contribution. Malware changes behavior by observing environment to avoid analysis. Complementary technique to obfuscation. Nael Abu-Ghazaleh. Joint work with Khaled . Khasawneh. , Dmitry . Ponomarev. and Lei Yu. Malware is Everywhere!. Malware is Everywhere!. Over 250,000 malware registered every day! . Hardware Malware Detectors (HMDs). Based on slides from Computer Security: Principles and Practices by William Stallings and Lawrie Brown. CSC230: C and Software Tools © NC State University Computer Science Faculty. 1. Malware. [SOUP13] defines malware as:. Grace. M, Zhou. Y, . Shilong. . Z, Jiang. . X. RiskRanker. analyses the paths within an android application. Potentially malicious security risks are flagged for investigation. Summary. This application showcases how reverse engineering. Analysts. “Decrease exposure time from . d. etection to . e. radication”. Garrett Schubert – EMC Corporation. Critical Incident Response Center. Incident Response\Content Lead. Surgery on the front lines. 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.