PPT-Automated Malware Analysis
Author : phoebe-click | Published Date : 2017-04-06
A Look at Cuckoo Sandbox Introduction What is Malware mãlwâr Malicious computer software that interferes with normal computer functions What is Automated
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Automated Malware Analysis" is the property of its rightful owner. Permission is granted to download and print the materials on this website for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.
Automated Malware Analysis: Transcript
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. 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.. Author : . Yajin. Zhou, . Xuxuan. Jiang. TJ. Index of this paper. Introduction. Malware Timeline. Malware Characterization. Malware Installation. Repackaging. Update Attack. Drive-by Download. Others. 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. 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%. 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. 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%. Meltem Ozsoy. *. , Caleb . Donovick. *. , . Iakov. . Gorelik. *. ,. Nael. Abu-. Ghazaleh. **. and Dmitry . Ponomarev. *. *. Binghamton University, . **. University of California, Riverside. HPCA 2015 - San Francisco, CA. The Build Alpha is a genetic trading software that offers a wide range of clients to use the best systematic trading strategies based on user-selected fitness functions such as net profits, overall risk, etc. and test criteria. 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 . 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:. 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..
Download Document
Here is the link to download the presentation.
"Automated Malware Analysis"The content belongs to its owner. You may download and print it for personal use, without modification, and keep all copyright notices. By downloading, you agree to these terms.
Related Documents