PPT-Control hijacking attacks

Author : debby-jeon | Published Date : 2015-09-21

Attackers goal Take over target machine eg web server Execute arbitrary code on target by hijacking application control flow This lecture three examples Buffer

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Control hijacking attacks: Transcript


Attackers goal Take over target machine eg web server Execute arbitrary code on target by hijacking application control flow This lecture three examples Buffer overflow attacks. of Electrical Engineering Computer Science Syracuse University Syracuse New York USA xzhang35wedusyredu Abstract In this paper we perform a thorough study on the risks im posed by the globally accessible Android Clipboard Based on the risk assessme (65 of 1982) THE ANTI-HIJACKING ACT, 1982TABLEOFCONTENTSSECTIONSPAGES1.Short titles, extent, application and commencement....1302.Definitions..........1303.High Jacking.........1304.Punishment for Hig Wireless Ad Hoc Sensor Networks. Eugene Y. . Vasserman. and . Nicholas Hopper. Presented by. Hamid. . Al-. Hamadi. CS6204 Mobile Computing, Spring 2013. Outline. Introduction. Classification. Protocols and Assumptions. Yossi. Oren and . Avishai. Wool. , . http://eprint.iacr.org/2009/422. snipurl.com/e-voting. IEEE RFID’2010, Orlando FL. Agenda. What’s the Israeli e-Voting Scheme?. How can we break it cheaply and completely?. Abstract. Ad hoc low-power wireless networks are an exciting research direction in sensing and pervasive computing. .. . Prior security work in this area has focused primarily on denial of communication at the routing or medium access control levels. . Stealing the Pie Without Touching the Sill. Background. XSS recently replaced SQL injection and . related server-side . injection attacks as the number one . threat in . the OWASP . (Open Web Application Security Project) ranking.. Based on material by Prof. Vern . Paxson. , UC Berkeley. Detecting Attacks. Given a choice, we’d like our systems to be airtight-secure. But often we don’t have that choice. #1 reason why not: cost (in different dimensions). Dana . Dachman. -Soled. University of Maryland. danadach@ece.umd.edu. Cryptography. Public Key Encryption. Digital Signatures. Secure Multiparty Computation. Attacks. Even on “provably secure” schemes such as RSA. Tongqing Qiu. +. , . Lusheng. . Ji. *. , Dan Pei. *. Jia. Wang. *. , Jun (Jim) . Xu. +. , Hitesh . Ballani. ++. + College of Computing, Georgia Tech. * AT&T Lab – Research. ++ Department of Computer Science, Cornell University . How the Attacks Start. Popularity of these sites with millions of users makes them perfect places for cyber attacks or cybercriminal activities. Typically happen when user log in to their social networking sites like Facebook or Twitter. Aviv Zohar. School Computer Science and Engineering. The Hebrew University of Jerusalem . Based on joint work with . Maria . Apostolaki. and . Laurent . Vanbever. Blue: 2. Red: 1. Digital Payments. Control hijacking attacks. . Attacker’s goal. :. Take over target machine (e.g. web server). Execute arbitrary code on target by hijacking application control flow. Examples:. Buffer overflow and integer overflow attacks. Recap: control hijacking attacks. Stack smashing. : overwrite return address or function pointer. Heap spraying. : reliably exploit a heap overflow. Use after free. : attacker writes to freed control structure, . Roger Grimes. Data-Driven Defense Evangelist, KnowBe4, Inc.. rogerg@knowbe4.com. Roger A. Grimes. Data-Driven Defense Evangelist. KnowBe4, Inc.. 30-years plus in computer security. Expertise in host and network security, .

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