PPT-Automated Malware Analysis

A Look at Cuckoo Sandbox Introduction What is Malware mãlwâr 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 AntiVirus solution. 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. 2012 . IEEE/IPSJ 12. th. . International . Symposium on Applications and the . Internet. 102062596 . 陳盈妤. 1. /10. Outline. Introduction of proposed method. Previous works by catching random behavior. Sophisticated Criminals or . Babytown. Frolics?. Ryan Merritt. Josh Grunzweig. Who We Are. Josh Grunzweig. Security Researcher. Malware Reverser. Dabbles in Ruby. Homebrewer. Ryan Merritt. Security Researcher. 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. 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.. 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. 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. Outline. Introduction. Types . of Malware. Malware examples. How . Malware Spreads. Prevention. AndroRAT. Hands-on Lab. Introduction. Mobile Security has become a fast growing issue. Nearly 100,000 new malicious programs for mobile devices were detected in 2013 (Kaspersky Lab). 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). 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. 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..