Guidelines on Minimum Standards for Developer Verification of Software
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Automatically Bypassing Android Malware Detection System
FUZZIFICATION: Anti-Fuzzing Techniques Jinho Jung, Hong Hu, David Solodukhin, Daniel Pagan, Kyu Hyung Lee*, Taesoo Kim * 1 Fuzzing Discovers Many Vulnerabilities 2 Fuzzing Discovers Many Vulnerabilities 3 Testers Find Bugs with Fuzzing Detected bugs Normal users Compilation Source Released binary Testers Compilation Distribution Fuzzing 4 But Attackers Also Find Bugs Detected bugs Normal users Compilation Attackers Source Released binary Testers Compilation Distribution Fuzzing 5 Our work: Make the Fuzzing Only Effective to the Testers Detected bugs Normal users Fuzzification ? Fortified binary Attackers Source Compilation Binary Testers Compilation Distribution Fuzzing 6 Threat Model Detected bugs Normal users Fuzzification Fortified binary Attackers Source Compilation Binary Testers Compilation Distribution Fuzzing 7 Threat Model Detected bugs Normal users Fuzzification Fortified binary Attackers Source Compilation Binary Testers Compilation Distribution Fuzzing Adversaries try to find vulnerabilities from fuzzing 8 Threat Model Detected bugs Normal users Fuzzification Fortified binary Attackers Source Compilation Binary Testers Compilation Distribution Fuzzing Adversaries only have a copy of fortified binary 9 Threat Model Detected bugs Normal users Fuzzification Fortified binary Attackers Source Compilation Binary Testers Compilation Distribution Fuzzing Adversaries know Fuzzification and try to nullify 10 Research Goals Detected bugs Normal users Fuzzification Fortified binary Attackers Source Compilation Binary Testers Compilation -
A Study of Android Application Security
A Study of Android Application Security William Enck, Damien Octeau, Patrick McDaniel, and Swarat Chaudhuri Systems and Internet Infrastructure Security Laboratory Department of Computer Science and Engineering The Pennsylvania State University enck, octeau, mcdaniel, swarat @cse.psu.edu { } Abstract ingly desire it, markets are not in a position to provide security in more than a superficial way [30]. The lack of The fluidity of application markets complicate smart- a common definition for security and the volume of ap- phone security. Although recent efforts have shed light plications ensures that some malicious, questionable, and on particular security issues, there remains little insight vulnerable applications will find their way to market. into broader security characteristics of smartphone ap- In this paper, we broadly characterize the security of plications. This paper seeks to better understand smart- applications in the Android Market. In contrast to past phone application security by studying 1,100 popular studies with narrower foci, e.g., [14, 12], we consider a free Android applications. We introduce the ded decom- breadth of concerns including both dangerous functional- piler, which recovers Android application source code ity and vulnerabilities, and apply a wide range of analysis directly from its installation image. We design and exe- techniques. In this, we make two primary contributions: cute a horizontal study of smartphone applications based on static analysis of 21 million lines of recovered code. We design and implement a Dalvik decompilier, • Our analysis uncovered pervasive use/misuse of person- ded. ded recovers an application’s Java source al/phone identifiers, and deep penetration of advertising solely from its installation image by inferring lost and analytics networks. -
Practical Unit Testing for Embedded Systems Part 1 PARASOFT WHITE PAPER
Practical Unit Testing for Embedded Systems Part 1 PARASOFT WHITE PAPER Table of Contents Introduction 2 Basics of Unit Testing 2 Benefits 2 Critics 3 Practical Unit Testing in Embedded Development 3 The system under test 3 Importing uVision projects 4 Configure the C++test project for Unit Testing 6 Configure uVision project for Unit Testing 8 Configure results transmission 9 Deal with target limitations 10 Prepare test suite and first exemplary test case 12 Deploy it and collect results 12 Page 1 www.parasoft.com Introduction The idea of unit testing has been around for many years. "Test early, test often" is a mantra that concerns unit testing as well. However, in practice, not many software projects have the luxury of a decent and up-to-date unit test suite. This may change, especially for embedded systems, as the demand for delivering quality software continues to grow. International standards, like IEC-61508-3, ISO/DIS-26262, or DO-178B, demand module testing for a given functional safety level. Unit testing at the module level helps to achieve this requirement. Yet, even if functional safety is not a concern, the cost of a recall—both in terms of direct expenses and in lost credibility—justifies spending a little more time and effort to ensure that our released software does not cause any unpleasant surprises. In this article, we will show how to prepare, maintain, and benefit from setting up unit tests for a simplified simulated ASR module. We will use a Keil evaluation board MCBSTM32E with Cortex-M3 MCU, MDK-ARM with the new ULINK Pro debug and trace adapter, and Parasoft C++test Unit Testing Framework. -
ON SOFTWARE TESTING and SUBSUMING MUTANTS an Empirical Study
ON SOFTWARE TESTING AND SUBSUMING MUTANTS An empirical study Master Degree Project in Computer Science Advanced level 15 credits Spring term 2014 András Márki Supervisor: Birgitta Lindström Examiner: Gunnar Mathiason Course: DV736A WECOA13: Web Computing Magister Summary Mutation testing is a powerful, but resource intense technique for asserting software quality. This report investigates two claims about one of the mutation operators on procedural logic, the relation operator replacement (ROR). The constrained ROR mutant operator is a type of constrained mutation, which targets to lower the number of mutants as a “do smarter” approach, making mutation testing more suitable for industrial use. The findings in the report shows that the hypothesis on subsumption is rejected if mutants are to be detected on function return values. The second hypothesis stating that a test case can only detect a single top-level mutant in a subsumption graph is also rejected. The report presents a comprehensive overview on the domain of mutation testing, displays examples of the masking behaviour previously not described in the field of mutation testing, and discusses the importance of the granularity where the mutants should be detected under execution. The contribution is based on literature survey and experiment. The empirical findings as well as the implications are discussed in this master dissertation. Keywords: Software Testing, Mutation Testing, Mutant Subsumption, Relation Operator Replacement, ROR, Empirical Study, Strong Mutation, Weak Mutation -
Types of Software Testing
Types of Software Testing We would be glad to have feedback from you. Drop us a line, whether it is a comment, a question, a work proposition or just a hello. You can use either the form below or the contact details on the rightt. Contact details [email protected] +91 811 386 5000 1 Software testing is the way of assessing a software product to distinguish contrasts between given information and expected result. Additionally, to evaluate the characteristic of a product. The testing process evaluates the quality of the software. You know what testing does. No need to explain further. But, are you aware of types of testing. It’s indeed a sea. But before we get to the types, let’s have a look at the standards that needs to be maintained. Standards of Testing The entire test should meet the user prerequisites. Exhaustive testing isn’t conceivable. As we require the ideal quantity of testing in view of the risk evaluation of the application. The entire test to be directed ought to be arranged before executing it. It follows 80/20 rule which expresses that 80% of defects originates from 20% of program parts. Start testing with little parts and extend it to broad components. Software testers know about the different sorts of Software Testing. In this article, we have incorporated majorly all types of software testing which testers, developers, and QA reams more often use in their everyday testing life. Let’s understand them!!! Black box Testing The black box testing is a category of strategy that disregards the interior component of the framework and spotlights on the output created against any input and performance of the system. -
Smoke Testing What Is Smoke Testing?
Smoke Testing What is Smoke Testing? Smoke testing is the initial testing process exercised to check whether the software under test is ready/stable for further testing. The term ‘Smoke Testing’ is came from the hardware testing, in the hardware testing initial pass is done to check if it did not catch the fire or smoked in the initial switch on.Prior to start Smoke testing few test cases need to created once to use for smoke testing. These test cases are executed prior to start actual testing to checkcritical functionalities of the program is working fine. This set of test cases written such a way that all functionality is verified but not in deep. The objective is not to perform exhaustive testing, the tester need check the navigation’s & adding simple things, tester needs to ask simple questions “Can tester able to access software application?”, “Does user navigates from one window to other?”, “Check that the GUI is responsive” etc. Here are graphical representation of Smoke testing & Sanity testing in software testing: Smoke Sanity Testing Diagram The test cases can be executed manually or automated; this depends upon the project requirements. In this types of testing mainly focus on the important functionality of application, tester do not care about detailed testing of each software component, this can be cover in the further testing of application. The Smoke testing is typically executed by testers after every build is received for checking the build is in testable condition. This type of testing is applicable in the Integration Testing, System Testing and Acceptance Testing levels. -
Opentext Product Security Assurance Program
The Information Company ™ Product Security Assurance Program Contents Objective 03 Scope 03 Sources 03 Introduction 03 Concept and design 04 Development 05 Testing and quality assurance 07 Maintain and support 09 Partnership and responsibility 10 Privavy and Security Policy 11 Product Security Assurance Program 2/11 Objective The goals of the OpenText Product Security Assurance Program (PSAP) are to help ensure that all products, solutions, and services are designed, developed, and maintained with security in mind, and to provide OpenText customers with the assurance that their important assets and information are protected at all times. This document provides a general, public overview of the key aspects and components of the PSAP program. Scope The scope of the PSAP includes all software solutions designed and developed by OpenText and its subsidiaries. All OpenText employees are responsible to uphold and participate in this program. Sources The source of this overview document is the PSAP Standard Operating Procedure (SOP). This SOP is highly confidential in nature, for internal OpenText consumption only. This overview document represents the aspects that are able to be shared with OpenText customers and partners. Introduction OpenText is committed to the confidentiality, integrity, and availability of its customer information. OpenText believes that the foundation of a highly secure system is that the security is built in to the software from the initial stages of its concept, design, development, deployment, and beyond. In this respect, -
Parallel, Cross-Platform Unit Testing for Real-Time Embedded Systems
University of Denver Digital Commons @ DU Electronic Theses and Dissertations Graduate Studies 1-1-2017 Parallel, Cross-Platform Unit Testing for Real-Time Embedded Systems Tosapon Pankumhang University of Denver Follow this and additional works at: https://digitalcommons.du.edu/etd Part of the Computer Sciences Commons Recommended Citation Pankumhang, Tosapon, "Parallel, Cross-Platform Unit Testing for Real-Time Embedded Systems" (2017). Electronic Theses and Dissertations. 1353. https://digitalcommons.du.edu/etd/1353 This Dissertation is brought to you for free and open access by the Graduate Studies at Digital Commons @ DU. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ DU. For more information, please contact [email protected],[email protected]. PARALLEL, CROSS-PLATFORM UNIT TESTING FOR REAL-TIME EMBEDDED SYSTEMS __________ A Dissertation Presented to the Faculty of the Daniel Felix Ritchie School of Engineering and Computer Science University of Denver __________ In Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy __________ by Tosapon Pankumhang August 2017 Advisor: Matthew J. Rutherford ©Copyright by Tosapon Pankumhang 2017 All Rights Reserved Author: Tosapon Pankumhang Title: PARALLEL, CROSS-PLATFORM UNIT TESTING FOR REAL-TIME EMBEDDED SYSTEMS Advisor: Matthew J. Rutherford Degree Date: August 2017 ABSTRACT Embedded systems are used in a wide variety of applications (e.g., automotive, agricultural, home security, industrial, medical, military, and aerospace) due to their small size, low-energy consumption, and the ability to control real-time peripheral devices precisely. These systems, however, are different from each other in many aspects: processors, memory size, develop applications/OS, hardware interfaces, and software loading methods. -
The OWASP Application Security Program Quick Start Guide
Quick Start Guide The OWASP Application Security Program Quick Start Guide Five Days to Setting Up an Application Security Program Quickstart Guide About this Guide This guide is intended to be a short, straightforward introductory guide to standing-up or improving an Application Security Program1. The intended goal of the AppSec program is to implement measures throughout the code’s life- cycle to prevent gaps in the application security policy or the underlying system through flaws in the design, development, deployment, upgrade, or maintenance of the application. The application security program should effectively manage the security of its application systems, protecting information from unauthorized access, use, disclosure, disruption, modification, or destruction in order to provide integrity, confidentiality and availability. A fundamental component of this improved application security management is the ability to demonstrate acceptable levels of risk based on defined KPIs, including but limited to: 1. The number of vulnerabilities present in an application 2. The time to fix vulnerabilities 3. The remediation rate of vulnerabilities 4. The time vulnerabilities remain open The application security program deliverables include a holistic view of the state of security for each application, identifying the risks associated with the application and the countermeasures implemented to mitigate those risks, explaining how security is implemented, planning for system downtimes and emergencies, and providing a formal plan to improve the security in one or more of these areas. Audience The intended audience of this document is anyone from security engineers, developers, program managers, senior managers or a senior executive. This guide should be considered the start of a comprehensive approach, it is intended to give the basic questions and answers that should be asked by those who are in charge of the application security program in your organization, this includes those responsible for managing the risk of the entire organization. -
A Framework and Tool Supports for Generating Test Inputs of Aspectj Programs
A Framework and Tool Supports for Generating Test Inputs of AspectJ Programs Tao Xie Jianjun Zhao Department of Computer Science Department of Computer Science & Engineering North Carolina State University Shanghai Jiao Tong University Raleigh, NC 27695 Shanghai 200240, China [email protected] [email protected] ABSTRACT 1. INTRODUCTION Aspect-oriented software development is gaining popularity with Aspect-oriented software development (AOSD) is a new tech- the wider adoption of languages such as AspectJ. To reduce the nique that improves separation of concerns in software develop- manual effort of testing aspects in AspectJ programs, we have de- ment [9, 18, 22, 30]. AOSD makes it possible to modularize cross- veloped a framework, called Aspectra, that automates generation of cutting concerns of a software system, thus making it easier to test inputs for testing aspectual behavior, i.e., the behavior imple- maintain and evolve. Research in AOSD has focused mostly on mented in pieces of advice or intertype methods defined in aspects. the activities of software system design, problem analysis, and lan- To test aspects, developers construct base classes into which the guage implementation. Although it is well known that testing is a aspects are woven to form woven classes. Our approach leverages labor-intensive process that can account for half the total cost of existing test-generation tools to generate test inputs for the woven software development [8], research on testing of AOSD, especially classes; these test inputs indirectly exercise the aspects. To enable automated testing, has received little attention. aspects to be exercised during test generation, Aspectra automati- Although several approaches have been proposed recently for cally synthesizes appropriate wrapper classes for woven classes. -
Parasoft Dottest REDUCE the RISK of .NET DEVELOPMENT
Parasoft dotTEST REDUCE THE RISK OF .NET DEVELOPMENT TRY IT https://software.parasoft.com/dottest Complement your existing Visual Studio tools with deep static INCREASE analysis and advanced PROGRAMMING EFFICIENCY: coverage. An automated, non-invasive solution that the related code, and distributed to his or her scans the application codebase to iden- IDE with direct links to the problematic code • Identify runtime bugs without tify issues before they become produc- and a description of how to fix it. executing your software tion problems, Parasoft dotTEST inte- grates into the Parasoft portfolio, helping When you send the results of dotTEST’s stat- • Automate unit and component you achieve compliance in safety-critical ic analysis, coverage, and test traceability testing for instant verification and industries. into Parasoft’s reporting and analytics plat- regression testing form (DTP), they integrate with results from Parasoft dotTEST automates a broad Parasoft Jtest and Parasoft C/C++test, allow- • Automate code analysis for range of software quality practices, in- ing you to test your entire codebase and mit- compliance cluding static code analysis, unit testing, igate risks. code review, and coverage analysis, en- abling organizations to reduce risks and boost efficiency. Tests can be run directly from Visual Stu- dio or as part of an automated process. To promote rapid remediation, each problem detected is prioritized based on configur- able severity assignments, automatical- ly assigned to the developer who wrote It snaps right into Visual Studio as though it were part of the product and it greatly reduces errors by enforcing all your favorite rules. We have stuck to the MS Guidelines and we had to do almost no work at all to have dotTEST automate our code analysis and generate the grunt work part of the unit tests so that we could focus our attention on real test-driven development. -
Moonshine: Optimizing OS Fuzzer Seed Selection with Trace Distillation
MoonShine: Optimizing OS Fuzzer Seed Selection with Trace Distillation Shankara Pailoor, Andrew Aday, and Suman Jana Columbia University Abstract bug in system call implementations might allow an un- privileged user-level process to completely compromise OS fuzzers primarily test the system-call interface be- the system. tween the OS kernel and user-level applications for secu- OS fuzzers usually start with a set of synthetic seed rity vulnerabilities. The effectiveness of all existing evo- programs , i.e., a sequence of system calls, and itera- lutionary OS fuzzers depends heavily on the quality and tively mutate their arguments/orderings using evolution- diversity of their seed system call sequences. However, ary guidance to maximize the achieved code coverage. generating good seeds for OS fuzzing is a hard problem It is well-known that the performance of evolutionary as the behavior of each system call depends heavily on fuzzers depend critically on the quality and diversity of the OS kernel state created by the previously executed their seeds [31, 39]. Ideally, the synthetic seed programs system calls. Therefore, popular evolutionary OS fuzzers for OS fuzzers should each contain a small number of often rely on hand-coded rules for generating valid seed system calls that exercise diverse functionality in the OS sequences of system calls that can bootstrap the fuzzing kernel. process. Unfortunately, this approach severely restricts However, the behavior of each system call heavily de- the diversity of the seed system call sequences and there- pends on the shared kernel state created by the previous fore limits the effectiveness of the fuzzers.