PPT-Malware Dynamic

Analysis Part 5 Veronica Kovah vkovahost at gmail See notes for citation 1 http opensecuritytraininginfo MalwareDynamicAnalysishtml All materials is licensed under a Creative . 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.. 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. CS 598: Network Security. Michael Rogers & Leena Winterrowd. March 26, 2013. Types of Malware. Image courtesy of prensa.pandasecurity.com. Types of Malware. Viruses 16,82%. Trojan horses. 69.99%. 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 . Suman Jana and Vitaly Shmatikov. The University of Texas at Austin. All about sophisticated detection and evasion techniques. Polymorphism, metamorphism, obfuscation… . Modern malware research. All about sophisticated detection and evasion techniques. 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.. 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. Meltem Ozsoy. *. , Caleb . Donovick. *. , . Iakov. . Gorelik. *. ,. Nael. Abu-. Ghazaleh. **. and Dmitry . Ponomarev. *. *. Binghamton University, . **. University of California, Riverside. HPCA 2015 - San Francisco, CA. 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 . 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. 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.