PPT-Targeted Malware

Author : lindy-dunigan | Published Date : 2016-04-24

Sophisticated Criminals or Babytown Frolics Ryan Merritt Josh Grunzweig Who We Are Josh Grunzweig Security Researcher Malware Reverser Dabbles in Ruby Homebrewer

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Targeted Malware: Transcript


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. 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.. 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. Analysis. Part 4. Veronica Kovah. vkovah.ost. at . gmail. See notes for citation. 1. http://. opensecuritytraining.info. /. MalwareDynamicAnalysis.html. All . materials is licensed under . a Creative . 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%. 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. 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%. Jeremy . Blackthorne. , Benjamin Kaiser, . Benjamin Fuller. , and Bulent . Yener. Contribution. Malware changes behavior by observing environment to avoid analysis. Complementary technique to obfuscation. Spam:. Spam is unsolicited or undesired electronic junk mail. Characteristics of spam are:. Mass . mailing to large number of recipients. Usually a commercial advertisement. Annoying but usually harmless unless coupled with a fraud based phishing scam . 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). and. Content Theft & Malware . Investigative Findings. 30%. 11.8. MILLION. U.S. users exposed to malware each month by sites in the sample content theft group. 1 in 3 content theft sites exposed users to malware . 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:. 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.

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