PPT-Automatic Generation of Data-Oriented Exploits

Author : myesha-ticknor | Published Date : 2016-07-04

Hong Hu Zheng Leong Chua Sendroiu Adrian Prateek Saxena Zhenkai Liang National University of Singapore USENIX Security Symposium 2015 Washington DC USA

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Automatic Generation of Data-Oriented Exploits: Transcript

Hong Hu Zheng Leong Chua Sendroiu Adrian Prateek Saxena Zhenkai Liang National University of Singapore USENIX Security Symposium 2015 Washington DC USA Control Flow Attacks Are Getting Harder. edu Abstract The automatic exploit generation challenge is given a program automatically 64257nd vulnerabilities and gener ate exploits for them In this paper we present AEG the 64257rst endtoend system for fully automatic exploit gener ation We use Quality of match 2 Gaussian kernel 1 SE Dxx brPage 6br brPage 7br brPage 8br layer maps 2 Shape Synthesis s 3 Assignment problem 3 Assignment problem Thank you Thank you imos CAM - . technologies. imos CAM APG imos CAM MAX. . Automatic Program Generator Multi Axis. Techniques and Implications. David . Brumley. , . Pongsin. . Poosankam. , Dawn Song and Jiang . Zheng. Presented by Nimrod . Partush. Outline. Introduction & Motivation. Problem Definition. Problem Solution. Luciano Rodriguez, . Sarah . Willems, . Vaibhav. . Pant, . Marilena. . Mierla. , Andy . Devos. . and the HELCATS . team. ESWW12, 24. th. November 2015. HELCATS. EU FP7 project (2014-2017. ) . http://. Simplifiers based . on Conditional Rewrite Rules. Research Qualifying Examination. 9-Oct-15. Automatic Generation of Formula Simplifiers. 1. Rohit Singh. . . Adviser. : Armando Solar-. . 0368-3500. Nurit. . Dor. Shir. Landau-. Feibish. Noam Rinetzky. Preliminaries. Students will group in teams of 2-3 students. . Each group will do one of the projects presented.. Administration. Max . Nanao. Automatic Processing – why?. +Rapid feedback to user on data quality. +Enables “value added” services. . +MR phasing. . +Ligand fitting. . +Automatic SAD. +QA for us. Page . 2. Automatic processing at ESRF, History. Hong . Hu. , . Zheng. Leong Chua, . Sendroiu. . Adrian, . Prateek. . Saxena. , . Zhenkai. Liang. National University of Singapore. USENIX Security Symposium 2015, Washington, D.C., USA. Control Flow Attacks Are Getting Harder. On the Expressiveness of Non-Control Data Attacks. Hong . Hu. , . Shweta. . Shinde. , . Sendroiu. . Adrian. , . Zheng. Leong Chua, . Prateek Saxena,. . Zhenkai Liang. Department. of Computer Science. . 0368-3500. Nurit. . Dor. Shir. Landau-. Feibish. Noam Rinetzky. Preliminaries. Students will group in teams of 2-3 students. . Each group will do one of the projects presented.. Administration. . of . Vulnerability-based . Signature. By David . Brumley. , James Newsome, Dawn Song and . Hao. Wang and . Somesh. . Jha. Part I. Presenter: . Xin. Zhao. Definition. Vulnerability - . A vulnerability is a type of bug that can be used by an attacker to alter the intended operation of the software in a malicious way.. Social Engineering & Networking. Database & Password Exploits. Weak Controls. Default . Accounts & Passwords. Dated Software & Patch . Exploits. Advanced Persistent Threat & Zero-Day. . of . Vulnerability-based . Signature. By David . Brumley. , James Newsome, Dawn Song and . Hao. Wang and . Somesh. . Jha. Part I. Presenter: . Xin. Zhao. Definition. Vulnerability - . A vulnerability is a type of bug that can be used by an attacker to alter the intended operation of the software in a malicious way..

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