Threats and Vulnerabilities in Federation Protocols and Products
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BUGS in the SYSTEM a Primer on the Software Vulnerability Ecosystem and Its Policy Implications
ANDI WILSON, ROSS SCHULMAN, KEVIN BANKSTON, AND TREY HERR BUGS IN THE SYSTEM A Primer on the Software Vulnerability Ecosystem and its Policy Implications JULY 2016 About the Authors About New America New America is committed to renewing American politics, Andi Wilson is a policy analyst at New America’s Open prosperity, and purpose in the Digital Age. We generate big Technology Institute, where she researches and writes ideas, bridge the gap between technology and policy, and about the relationship between technology and policy. curate broad public conversation. We combine the best of With a specific focus on cybersecurity, Andi is currently a policy research institute, technology laboratory, public working on issues including encryption, vulnerabilities forum, media platform, and a venture capital fund for equities, surveillance, and internet freedom. ideas. We are a distinctive community of thinkers, writers, researchers, technologists, and community activists who Ross Schulman is a co-director of the Cybersecurity believe deeply in the possibility of American renewal. Initiative and senior policy counsel at New America’s Open Find out more at newamerica.org/our-story. Technology Institute, where he focuses on cybersecurity, encryption, surveillance, and Internet governance. Prior to joining OTI, Ross worked for Google in Mountain About the Cybersecurity Initiative View, California. Ross has also worked at the Computer The Internet has connected us. Yet the policies and and Communications Industry Association, the Center debates that surround the security of our networks are for Democracy and Technology, and on Capitol Hill for too often disconnected, disjointed, and stuck in an Senators Wyden and Feingold. unsuccessful status quo. -
Reforming Vulnerability Disclosure Programs in the Private Sector
Debugging the System: Reforming Vulnerability Disclosure Programs in the Private Sector Jasmine Arooni* TABLE OF CONTENTS I. INTRODUCTION ..................................................................................... 445 II. VULNERABILITY DISCLOSURE PROGRAMS IN PRACTICE: HOW DO THEY WORK? .............................................................................................. 448 III. THE CURRENT LEGAL LANDSCAPE: LEGAL RISKS FACED BY VDP SECURITY RESEARCHERS .................................................................. 450 A. The Computer Fraud and Abuse Act and Its Impact on Security Research ..................................................................................... 451 B. The DMCA and Its Impact on Security Research ....................... 453 C. Safe Harbor Language: A Superficial Fix, Not a Complete Solution ....................................................................................... 454 IV. THE DOJ’S DISCRETIONARY GUIDANCE FOR PRIVATE VDPS ............. 455 V. THE U.S. GOVERNMENT’S INFLUENTIAL ROLE IN VDP GOVERNANCE .................................................................................................... 456 A. The U.S. Government as a “Crowdsourcer”: Validating the Importance of Public Engagement to Cybersecurity ................. 457 B. The U.S. Government as a “Rule Maker”: The DHS’ Compulsory Authority over Government VDPs .............................................. 458 C. The Government as an “Example”: The Impact of Government VDPs on the Private Sector, as Evidenced Through -
How to Analyze the Cyber Threat from Drones
C O R P O R A T I O N KATHARINA LEY BEST, JON SCHMID, SHANE TIERNEY, JALAL AWAN, NAHOM M. BEYENE, MAYNARD A. HOLLIDAY, RAZA KHAN, KAREN LEE How to Analyze the Cyber Threat from Drones Background, Analysis Frameworks, and Analysis Tools For more information on this publication, visit www.rand.org/t/RR2972 Library of Congress Cataloging-in-Publication Data is available for this publication. ISBN: 978-1-9774-0287-5 Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2020 RAND Corporation R® is a registered trademark. Cover design by Rick Penn-Kraus Cover images: drone, Kadmy - stock.adobe.com; data, Getty Images. Limited Print and Electronic Distribution Rights This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions. The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest. RAND’s publications do not necessarily reflect the opinions of its research clients and sponsors. Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Preface This report explores the security implications of the rapid growth in unmanned aerial systems (UAS), focusing specifically on current and future vulnerabilities. -
The CLASP Application Security Process
The CLASP Application Security Process Secure Software, Inc. Copyright (c) 2005, Secure Software, Inc. The CLASP Application Security Process The CLASP Application Security Process TABLE OF CONTENTS CHAPTER 1 Introduction 1 CLASP Status 4 An Activity-Centric Approach 4 The CLASP Implementation Guide 5 The Root-Cause Database 6 Supporting Material 7 CHAPTER 2 Implementation Guide 9 The CLASP Activities 11 Institute security awareness program 11 Monitor security metrics 12 Specify operational environment 13 Identify global security policy 14 Identify resources and trust boundaries 15 Identify user roles and resource capabilities 16 Document security-relevant requirements 17 Detail misuse cases 18 Identify attack surface 19 Apply security principles to design 20 Research and assess security posture of technology solutions 21 Annotate class designs with security properties 22 Specify database security configuration 23 Perform security analysis of system requirements and design (threat modeling) 24 Integrate security analysis into source management process 25 Implement interface contracts 26 Implement and elaborate resource policies and security technologies 27 Address reported security issues 28 Perform source-level security review 29 Identify, implement and perform security tests 30 The CLASP Application Security Process i Verify security attributes of resources 31 Perform code signing 32 Build operational security guide 33 Manage security issue disclosure process 34 Developing a Process Engineering Plan 35 Business objectives 35 Process -
A Dropbox Whitepaper Dropbox for Business Security
Dropbox for Business security A Dropbox whitepaper Dropbox for Business security Contents Introduction 3 Product features (security, control, and visibility) 3 Under the hood 7 Application security 10 Apps for Dropbox 12 Network security 13 Vulnerability management 14 Dropbox information security 16 Physical security 17 Compliance 17 Privacy 19 Dropbox Trust Program 20 Summary 21 Dropbox for Business security Millions of users trust Dropbox to easily and reliably store, sync, and share photos, videos, docs, and other files across devices. Dropbox for Business brings that same simplicity to the workplace, with advanced features that help teams share instantly across their organizations and give admins the visibility and control they need. But more than just an easy-to-use tool for storage and sharing, Dropbox for Business is designed to keep important work files secure. To do this, we’ve created a sophisticated infrastructure onto which account administrators can layer and customize policies of their own. In this paper, we’ll detail the back-end policies, as well as options available to admins, that make Dropbox the secure tool for getting work done. Product features (security, control, and visibility) Dropbox provides the administrative control and visibility features that empower both IT and end users to effectively manage their businesses and data. Below is a sampling of features available to team admins and users, as well as third-party integrations for managing core IT processes. Admin management features No two organizations are exactly alike, so we’ve developed a number of tools that empower admins to customize Dropbox for Business to their teams’ particular needs. -
Captive Portal Authentication Via Twitter
Grandstream Networks, Inc. Captive Portal Authentication via Twitter Table of Content SUPPORTED DEVICES ................................................................................................. 4 INTRODUCTION ............................................................................................................. 5 CAPTIVE PORTAL SETTINGS ...................................................................................... 6 Policy Configuration Page .................................................................................................................... 6 Landing Page Redirection ............................................................................................................... 10 Pre-Authentication Rules ................................................................................................................ 10 Post-Authentication Rules ............................................................................................................... 10 Guest Page ........................................................................................................................................ 10 CONFIGURATION STEPS............................................................................................ 12 Create Twitter App .............................................................................................................................. 12 Configure Captive Portal Policy with Twitter Authentication ................................................................. 15 Assign -
Fuzzing with Code Fragments
Fuzzing with Code Fragments Christian Holler Kim Herzig Andreas Zeller Mozilla Corporation∗ Saarland University Saarland University [email protected] [email protected] [email protected] Abstract JavaScript interpreter must follow the syntactic rules of JavaScript. Otherwise, the JavaScript interpreter will re- Fuzz testing is an automated technique providing random ject the input as invalid, and effectively restrict the test- data as input to a software system in the hope to expose ing to its lexical and syntactic analysis, never reaching a vulnerability. In order to be effective, the fuzzed input areas like code transformation, in-time compilation, or must be common enough to pass elementary consistency actual execution. To address this issue, fuzzing frame- checks; a JavaScript interpreter, for instance, would only works include strategies to model the structure of the de- accept a semantically valid program. On the other hand, sired input data; for fuzz testing a JavaScript interpreter, the fuzzed input must be uncommon enough to trigger this would require a built-in JavaScript grammar. exceptional behavior, such as a crash of the interpreter. Surprisingly, the number of fuzzing frameworks that The LangFuzz approach resolves this conflict by using generate test inputs on grammar basis is very limited [7, a grammar to randomly generate valid programs; the 17, 22]. For JavaScript, jsfunfuzz [17] is amongst the code fragments, however, partially stem from programs most popular fuzzing tools, having discovered more that known to have caused invalid behavior before. LangFuzz 1,000 defects in the Mozilla JavaScript engine. jsfunfuzz is an effective tool for security testing: Applied on the is effective because it is hardcoded to target a specific Mozilla JavaScript interpreter, it discovered a total of interpreter making use of specific knowledge about past 105 new severe vulnerabilities within three months of and common vulnerabilities. -
A Investigating User's Perspective of Web Single Sign-On
A Investigating User’s Perspective of Web Single Sign-On: Conceptual Gaps, Alternative Design and Acceptance Model SAN-TSAI SUN, ERIC POSPISIL, ILDAR MUSLUKHOV, NURAY DINDAR, University of British Columbia KIRSTIE HAWKEY, Dalhousie University KONSTANTIN BEZNOSOV, University of British Columbia Manuscript submitted to ACM Transactions on Internet Technology on January 9th, 2012. Received minor revision decision on October 31th, 2012. Major service providers such as Google, Yahoo, Microsoft and Facebook are competing for the online identity landscape through provisioning of web single sign-on (SSO) solutions. Those billions of SSO- enabled user accounts attract millions of supporting websites; however, average users’ perception of web SSO is still poorly understood. Through several user studies, this work evaluates users’ experience, investigates their perceptions and concerns when using web SSO for authentication, and explores possible improvements. We found several behaviors, concerns, and misconceptions that hinder our participants’ adoption intentions, from inadequate mental models of web SSO, to the reluctancy to have their personal profile information released to SSO-enabled web sites, and to the reduction of perceived web SSO value due to the employment of password management practices. Informed by our findings, we offer a web SSO technology acceptance model, and suggest design improvements. Categories and Subject Descriptors: D.4.6 [Security and Protection]: Authentication General Terms: Security, Human Factors Additional Key Words and Phrases: Web Single Sign-On; OpenID; OAuth; Usable Security; ACM Reference Format: Sun, S., Pospisil, E., Muslukhov, I., Dindar, N., Hawkey, K., Beznosov, K. 2012.Investigating User’s Per- spective of Web Single Sign-On: Conceptual Gaps, Alternative Design and Acceptance Model. -
Social Login
Social Login An easy way to register and login to your store customer Extension Specification Document Magento 1 Extension URL: https://www.extensionhut.com/magento-extensions/social-login.html Support URL: https://www.extensionhut.com/support www.extensionhut.com PAGE 1 Index Overview 3 Why Social Login? 3 Features 3 Configuration 4 How it works? 6 www.extensionhut.com PAGE 2 Overview Give your customer an easy way to get register or login to your store with social login extension. Let the customer access their account with few clicks and get rid from filing registration or login forms. It provides options to login with different social accounts which includes Facebook, Google+, Twitter, Yahoo and LinkedIn. Why Social Login? ❏ Easy way to login without filling form. ❏ Get into account with single click. ❏ Many social account options to login. Features 1. Multi store configuration with single installation: Extension can be configured for each and every store created in your Magento installation. 2. Separate configuration option for each social account: Each social account option has its own configuration in admin area. 3. Display social icon option: Social icons for customer to login their account can be display on login page and checkout page at different positions(top, bottom, left or right). 4. Enable social icon according to requirement: Each social account can be made enable or disable separately for each store. www.extensionhut.com PAGE 3 Configuration Extension configuration is required to make it ready to function and set-up according to your requirements. Here is step by step guide to configure it. -
Paul Youn from Isec Partners
Where do security bugs come from? MIT 6.858 (Computer Systems Security), September 19th, 2012 Paul Youn • Technical Director, iSEC Partners • MIT 18/6-3 (‘03), M.Eng ’04 Tom Ritter • Security Consultant, iSEC Partners • (Research) Badass Agenda • What is a security bug? • Who is looking for security bugs? • Trust relationships • Sample of bugs found in the wild • Operation Aurora • Stuxnet • I’m in love with security; whatever shall I do? What is a Security Bug? • What is security? • Class participation: Tacos, Salsa, and Avocados (TSA) What is security? “A system is secure if it behaves precisely in the manner intended – and does nothing more” – Ivan Arce • Who knows exactly what a system is intended to do? Systems are getting more and more complex. • What types of attacks are possible? First steps in security: define your security model and your threat model Threat modeling: T.S.A. • Logan International Airport security goal #3: prevent banned substances from entering Logan • Class Participation: What is the threat model? • What are possible avenues for getting a banned substance into Logan? • Where are the points of entry? • Threat modeling is also critical, you have to know what you’re up against (many engineers don’t) Who looks for security bugs? • Engineers • Criminals • Security Researchers • Pen Testers • Governments • Hacktivists • Academics Engineers (create and find bugs) • Goals: • Find as many flaws as possible • Reduce incidence of exploitation • Thoroughness: • Need coverage metrics • At least find low-hanging fruit • Access: -
Designing New Operating Primitives to Improve Fuzzing Performance
Designing New Operating Primitives to Improve Fuzzing Performance Wen Xu Sanidhya Kashyap Changwoo Miny Taesoo Kim Georgia Institute of Technology Virginia Techy ABSTRACT from malicious attacks, various financial organizations and com- Fuzzing is a software testing technique that finds bugs by repeatedly munities, that implement and use popular software and OS kernels, injecting mutated inputs to a target program. Known to be a highly have invested major efforts on finding and fixing security bugsin practical approach, fuzzing is gaining more popularity than ever their products, and one such effort to finding bugs in applications before. Current research on fuzzing has focused on producing an and libraries is fuzzing. Fuzzing is a software-testing technique input that is more likely to trigger a vulnerability. that works by injecting randomly mutated input to a target pro- In this paper, we tackle another way to improve the performance gram. Compared with other bug-finding techniques, one of the of fuzzing, which is to shorten the execution time of each itera- primary advantages of fuzzing is that it ensures high throughput tion. We observe that AFL, a state-of-the-art fuzzer, slows down by with less manual efforts and pre-knowledge of the target software. 24× because of file system contention and the scalability of fork() In addition, it is one of the most practical approach to finding system call when it runs on 120 cores in parallel. Other fuzzers bugs in various critical software. For example, the state-of-the-art are expected to suffer from the same scalability bottlenecks inthat coverage-driven fuzzer, American Fuzzy Lop (AFL), has discovered they follow a similar design pattern. -
Empirical Analysis and Automated Classification of Security Bug Reports
Graduate Theses, Dissertations, and Problem Reports 2016 Empirical Analysis and Automated Classification of Security Bug Reports Jacob P. Tyo Follow this and additional works at: https://researchrepository.wvu.edu/etd Recommended Citation Tyo, Jacob P., "Empirical Analysis and Automated Classification of Security Bug Reports" (2016). Graduate Theses, Dissertations, and Problem Reports. 6843. https://researchrepository.wvu.edu/etd/6843 This Thesis is protected by copyright and/or related rights. It has been brought to you by the The Research Repository @ WVU with permission from the rights-holder(s). You are free to use this Thesis in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you must obtain permission from the rights-holder(s) directly, unless additional rights are indicated by a Creative Commons license in the record and/ or on the work itself. This Thesis has been accepted for inclusion in WVU Graduate Theses, Dissertations, and Problem Reports collection by an authorized administrator of The Research Repository @ WVU. For more information, please contact [email protected]. Empirical Analysis and Automated Classification of Security Bug Reports Jacob P. Tyo Thesis submitted to the Benjamin M. Statler College of Engineering and Mineral Resources at West Virginia University in partial fulfillment of the requirements for the degree of Master of Science in Electrical Engineering Katerina Goseva-Popstojanova, Ph.D., Chair Roy S. Nutter, Ph.D. Matthew C. Valenti, Ph.D. Lane Department of Computer Science and Electrical Engineering CONFIDENTIAL. NOT TO BE DISTRIBUTED. Morgantown, West Virginia 2016 Keywords: Cybersecurity, Machine Learning, Issue Tracking Systems, Text Mining, Text Classification Copyright 2016 Jacob P.