PPT-Random Testing CS 6340 Random Testing (Fuzzing)
Author : mitsue-stanley | Published Date : 2019-03-16
Feed random inputs to a program Observe whether it behaves correctly Execution satisfies given specification Or just doesnt crash A simple specification Special
Presentation Embed Code
Download Presentation
Download Presentation The PPT/PDF document "Random Testing CS 6340 Random Testing (F..." 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.
Random Testing CS 6340 Random Testing (Fuzzing): Transcript
Feed random inputs to a program Observe whether it behaves correctly Execution satisfies given specification Or just doesnt crash A simple specification Special case of mutation analysis. 1 Copyright Ruei-Jiun. Chapter 13. Outline. Uses of bespoke automation. Enumerating identifiers. Harvesting data. Web application fuzzing. JAttack. . . a simple bespoke automation tool based on Java . Burp Intruder (an intruder tool in Burp Suite). Cows. The “No Bull” Talk on Fuzzing. Security B-Sides Ottawa. November 13, 2010. Mike Sues (Rigel Kent). Karim Nathoo (Inverse Labs). Objectives. We can’t cover fuzzing in-depth in 50 minutes. Raise awareness of fuzzing as an option in higher assurance/product evaluations/more focused assessments. Expected Value. Airline overbooking. Pooling . blood . samples. Variance and Standard . Deviation . Independent Collections. Optimization. DECS 430-A. Business Analytics . I: Class 2. Random Variables. PaulR.RosenbaumisRobertG.PutzelProfessor,De-partmentofStatistics,TheWhartonSchool,UniversityofPennsylvania,Philadelphia,Pennsylvania19104-6340(e-mail:rosenbaum@wharton.upenn.edu).Inadditiontoproviding {An approach . to evil twin detection from a normal user side}. 0. Forewords. Who we are???. Amrita C. . Iyer. Senior QA Associate.. Who kills boredom by . fuzzing. applications.. i. [dot]c[dot]amrita[at]. Dawn Song, . Kostya. . Serebryany. ,. Peter . Collingbourne. . Techniques for bug finding. Automatic test case generation. Lower coverage . Lower false positives . Higher false negatives. Fuzzing . Russell . Impagliazzo. ( IAS & UCSD ). Ragesh. . Jaiswal. ( Columbia U. ). Valentine . Kabanets. ( IAS & SFU ). Avi. . Wigderson. ( IAS ). Dawn Song, . Kostya. . Serebryany. ,. Peter . Collingbourne. . Techniques for bug finding. Automatic test case generation. Lower coverage . Lower false positives . Higher false negatives. Fuzzing . Richard Johnson | Offensive Summit 2015. Introduction . Whoami. Richard Johnson / @richinseattle. Research Manager, Vulnerability Development. Cisco, Talos Security Intelligence and Research Group. Agenda. Welcome. Introduction. Agenda. The Business of . Fuzzing. Fuzzing. Technology. Architecting a Framework. Bennu. Concept Tool. Fuzzing. As We Know It. Fuzzing. is a method of software testing. A high volume of . Software Vulnerability Detection. . Tielei . Wang. 1,2. , Tao Wei. 1,2. , Guofei Gu. 3. , Wei . Zou. 1,2. 1. Key Laboratory of Network and Software Security Assurance . (. Peking University), . Ministry . class is part of the . java.util. package. It provides methods that generate pseudorandom numbers. A . Random. object performs complicated calculations based on a . seed value. to produce a stream of seemingly random values. MaldivesMarch 2019Immediate ReleaseNoku Maldives welcomes ExecutiveChef MohammedTarique AzizBornand raised in West Bengal India hewas inspired by his fathers willingness to cook for the family after h
Download Document
Here is the link to download the presentation.
"Random Testing CS 6340 Random Testing (Fuzzing)"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