Genuine Onion: Simple, Fast, Flexible, and Cheap Website Authentication
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Duckduckgo Search Engines Android
Duckduckgo search engines android Continue 1 5.65.0 10.8MB DuckduckGo Privacy Browser 1 5.64.0 10.8MB DuckduckGo Privacy Browser 1 5.63.1 10.78MB DuckduckGo Privacy Browser 1 5.62.0 10.36MB DuckduckGo Privacy Browser 1 5.61.2 10.36MB DuckduckGo Privacy Browser 1 5.60.0 10.35MB DuckduckGo Privacy Browser 1 5.59.1 10.35MB DuckduckGo Privacy Browser 1 5.58.1 10.33MB DuckduckGo Privacy Browser 1 5.57.1 10.31MB DuckduckGo Privacy browser © DuckduckGo. Privacy, simplified. This article is about the search engine. For children's play, see duck, duck, goose. Internet search engine DuckDuckGoScreenshot home page DuckDuckGo on 2018Type search engine siteWeb Unavailable inMultilingualHeadquarters20 Paoli PikePaoli, Pennsylvania, USA Area servedWorldwideOwnerDuck Duck Go, Inc., createdGabriel WeinbergURLduckduckgo.comAlexa rank 158 (October 2020 update) CommercialRegregedSeptember 25, 2008; 12 years ago (2008-09-25) was an Internet search engine that emphasized the privacy of search engines and avoided the filter bubble of personalized search results. DuckDuckGo differs from other search engines by not profiling its users and showing all users the same search results for this search term. The company is based in Paoli, Pennsylvania, in Greater Philadelphia and has 111 employees since October 2020. The name of the company is a reference to the children's game duck, duck, goose. The results of the DuckDuckGo Survey are a compilation of more than 400 sources, including Yahoo! Search BOSS, Wolfram Alpha, Bing, Yandex, own web scanner (DuckDuckBot) and others. It also uses data from crowdsourcing sites, including Wikipedia, to fill in the knowledge panel boxes to the right of the results. -
The Internet and Drug Markets
INSIGHTS EN ISSN THE INTERNET AND DRUG MARKETS 2314-9264 The internet and drug markets 21 The internet and drug markets EMCDDA project group Jane Mounteney, Alessandra Bo and Alberto Oteo 21 Legal notice This publication of the European Monitoring Centre for Drugs and Drug Addiction (EMCDDA) is protected by copyright. The EMCDDA accepts no responsibility or liability for any consequences arising from the use of the data contained in this document. The contents of this publication do not necessarily reflect the official opinions of the EMCDDA’s partners, any EU Member State or any agency or institution of the European Union. Europe Direct is a service to help you find answers to your questions about the European Union Freephone number (*): 00 800 6 7 8 9 10 11 (*) The information given is free, as are most calls (though some operators, phone boxes or hotels may charge you). More information on the European Union is available on the internet (http://europa.eu). Luxembourg: Publications Office of the European Union, 2016 ISBN: 978-92-9168-841-8 doi:10.2810/324608 © European Monitoring Centre for Drugs and Drug Addiction, 2016 Reproduction is authorised provided the source is acknowledged. This publication should be referenced as: European Monitoring Centre for Drugs and Drug Addiction (2016), The internet and drug markets, EMCDDA Insights 21, Publications Office of the European Union, Luxembourg. References to chapters in this publication should include, where relevant, references to the authors of each chapter, together with a reference to the wider publication. For example: Mounteney, J., Oteo, A. and Griffiths, P. -
Arxiv:1907.07120V1 [Cs.CY] 16 Jul 2019 1 Introduction That China Hindered Access to I2P by Poisoning DNS Resolu- Tions of the I2P Homepage and Three Reseed Servers
Measuring I2P Censorship at a Global Scale Nguyen Phong Hoang Sadie Doreen Michalis Polychronakis Stony Brook University The Invisible Internet Project Stony Brook University Abstract required flexibility for conducting fine-grained measurements on demand. We demonstrate these benefits by conducting an The prevalence of Internet censorship has prompted the in-depth investigation of the extent to which the I2P (invis- creation of several measurement platforms for monitoring ible Internet project) anonymity network is blocked across filtering activities. An important challenge faced by these different countries. platforms revolves around the trade-off between depth of mea- Due to the prevalence of Internet censorship and online surement and breadth of coverage. In this paper, we present surveillance in recent years [7, 34, 62], many pro-privacy and an opportunistic censorship measurement infrastructure built censorship circumvention tools, such as proxy servers, virtual on top of a network of distributed VPN servers run by vol- private networks (VPN), and anonymity networks have been unteers, which we used to measure the extent to which the developed. Among these tools, Tor [23] (based on onion rout- I2P anonymity network is blocked around the world. This ing [39,71]) and I2P [85] (based on garlic routing [24,25,33]) infrastructure provides us with not only numerous and ge- are widely used by privacy-conscious and censored users, as ographically diverse vantage points, but also the ability to they provide a higher level of privacy and anonymity [42]. conduct in-depth measurements across all levels of the net- In response, censors often hinder access to these services work stack. -
EFF, Duckduckgo, and Internet Archive Amicus Brief
Case: 17-16783, 11/27/2017, ID: 10667942, DktEntry: 42, Page 1 of 39 NO. 17-16783 IN THE UNITED STATES COURT OF APPEALS FOR THE NINTH CIRCUIT HIQ LABS, INC., PLAINTIFF-APPELLEE, V. LINKEDIN CORPORATION, DEFENDANT-APPELLANT. On Appeal from the United States District Court for the Northern District of California Case No. 3:17-cv-03301-EMC The Honorable Edward M. Chen, District Court Judge BRIEF OF AMICI CURIAE ELECTRONIC FRONTIER FOUNDATION, DUCKDUCKGO, AND INTERNET ARCHIVE IN SUPPORT OF PLAINTIFF-APPELLEE Jamie Williams Corynne McSherry Cindy Cohn Nathan Cardozo ELECTRONIC FRONTIER FOUNDATION 815 Eddy Street San Francisco, CA 94109 Email: [email protected] Telephone: (415) 436-9333 Counsel for Amici Curiae Case: 17-16783, 11/27/2017, ID: 10667942, DktEntry: 42, Page 2 of 39 DISCLOSURE OF CORPORATE AFFILIATIONS AND OTHER ENTITIES WITH A DIRECT FINANCIAL INTEREST IN LITIGATION Pursuant to Rule 26.1 of the Federal Rules of Appellate Procedure, Amici Curiae Electronic Frontier Foundation, DuckDuckGo, and Internet Archive each individually state that they do not have a parent corporation and that no publicly held corporation owns 10 percent or more of their stock. i Case: 17-16783, 11/27/2017, ID: 10667942, DktEntry: 42, Page 3 of 39 TABLE OF CONTENTS CORPORATE DISCLOSURE STATEMENTS ..................................................... i TABLE OF CONTENTS ...................................................................................... ii TABLE OF AUTHORITIES ............................................................................... -
Fraud and the Darknets
OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Fraud And The Darknets Thomas Harper Assistant Special Agent in Charge Technology Crimes Division OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division What is an OIG? • Established by Congress • Independent agency that reports to Congress • Agency head appointed by the President and confirmed by Congress • Mission: protect the taxpayer’s interests by ensuring the integrity and efficiency of the associated agency OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Technology Crimes Division • Investigate criminal cyber threats against the Department’s IT infrastructure, or • Criminal activity in cyber space that threatens the Department’s administration of Federal education assistance funds • Investigative jurisdiction encompasses any IT system used in the administration of Federal money originating from the Department of Education. OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Work Examples • Grade hacking • Computer Intrusions • Criminal Forums online selling malware • ID/Credential theft to hijack Student Aid applications • Misuse of Department systems to obtain personal information • Falsifying student aid applications by U.S. government employees • Child Exploitation material trafficking OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Fraud and the Darknets Special Thanks to Financial Crimes Enforcement Network (FINCEN) OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division Fraud and the Darknets OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division OFFICE OF THE INSPECTOR GENERAL U.S. Department of Education Technology Crimes Division OFFICE OF THE INSPECTOR GENERAL U.S. -
Hacking the Web
Hacking the Web (C) 2009-2020 Arun Viswanathan Ellis Horowitz Marco Papa 1 Table of Contents } General Introduction } Authentication Attacks } Client-Side Attacks } Injection Attacks } Recent Attacks } Privacy Tools 2 (C) 2009-2020 Arun Viswanathan Ellis Horowitz Marco Papa Why secure the Web? } The Web has evolved into an ubiquitous entity providing a rich and common platform for connecting people and doing business. } BUT, the Web also offers a cheap, effective, convenient and anonymous platform for crime. } To get an idea, the Web has been used for the following types of criminal activities (source: The Web Hacking Incidents Database (WHID) http://projects.webappsec.org/w/page/13246995/Web-Hacking-Incident-Database) } Chaos (Attack on Russian nuclear power websites amid accident rumors (5Jan09) } Deceit (SAMY XSS Worm – Nov 2005) } Extortion (David Aireys domain hijacked due to a CSRF (cross site request forgery) flaw in Gmail – 30Dec2007) } Identity Theft (XSS on Yahoo! Hot jobs – Oct 2008) } Information Warfare (Israeli Gaza War - Jan 2009 / Balkan Wars – Apr 2008 ) } Monetary Loss (eBay fraud using XSS) } Physical Pain (Hackers post on epilepsy forum causes migraines and seizures – May 2008) } Political Defacements (Hacker changes news release on Sheriffs website – Jul 2008) (Obama, Oreilly and Britneys Twitter accounts hacked and malicious comments posted – Jan 09) } Chinese Gaming sites hacked (Dec. 2011) 3 Copyright(C) 2009 (c) -20092020- 2019Arun Arun Viswanathan Viswanathan Ellis HorowitzEllis Horowitz Marco Marco Papa Papa -
An Evolving Threat the Deep Web
8 An Evolving Threat The Deep Web Learning Objectives distribute 1. Explain the differences between the deep web and darknets.or 2. Understand how the darknets are accessed. 3. Discuss the hidden wiki and how it is useful to criminals. 4. Understand the anonymity offered by the deep web. 5. Discuss the legal issues associated withpost, use of the deep web and the darknets. The action aimed to stop the sale, distribution and promotion of illegal and harmful items, including weapons and drugs, which were being sold on online ‘dark’ marketplaces. Operation Onymous, coordinated by Europol’s Europeancopy, Cybercrime Centre (EC3), the FBI, the U.S. Immigration and Customs Enforcement (ICE), Homeland Security Investigations (HSI) and Eurojust, resulted in 17 arrests of vendors andnot administrators running these online marketplaces and more than 410 hidden services being taken down. In addition, bitcoins worth approximately USD 1 million, EUR 180,000 Do in cash, drugs, gold and silver were seized. —Europol, 20141 143 Copyright ©2018 by SAGE Publications, Inc. This work may not be reproduced or distributed in any form or by any means without express written permission of the publisher. 144 Cyberspace, Cybersecurity, and Cybercrime THINK ABOUT IT 8.1 Surface Web and Deep Web Google, Facebook, and any website you can What Would You Do? find via traditional search engines (Internet Explorer, Chrome, Firefox, etc.) are all located 1. The deep web offers users an anonym- on the surface web. It is likely that when you ity that the surface web cannot provide. use the Internet for research and/or social What would you do if you knew that purposes you are using the surface web. -
The Autonomous Surfer
Renée Ridgway The Autonomous Surfer CAIS Report Fellowship Mai bis Oktober 2018 GEFÖRDERT DURCH RIDGWAY The Autonomous Surfer Research Questions The Autonomous Surfer endeavoured to discover the unknown unknowns of alternative search through the following research questions: What are the alternatives to Google search? What are their hidden revenue models, even if they do not collect user data? How do they deliver divergent (and qualitative) results or knowledge? What are the criteria that determine ranking and relevance? How do p2p search engines such as YaCy work? Does it deliver alternative results compared to other search engines? Is there still a movement for a larger, public index? Can there be serendipitous search, which is the ability to come across books, articles, images, information, objects, and so forth, by chance? Aims and Projected Results My PhD research investigates Google search – its early development, its technological innovation, its business model of the past 20 years and how it works now. Furthermore, I have experimented with Tor (The Onion Router) in order to find out if I could be anonymous online, and if so, would I receive diver- gent results from Google with the same keywords. For my fellowship at CAIS I decided to first research search engines that were incorporated into the Tor browser as default (Startpage, Disconnect) or are the default browser now (DuckDuckGo). I then researched search engines in my original CAIS proposal that I had come across in my PhD but hadn’t had the time to research; some are from the Society of the Query Reader (2014) and others I found en route or on colleagues’ suggestions. -
GOGGLES: Democracy Dies in Darkness, and So Does the Web
GOGGLES: Democracy dies in darkness, and so does the Web Brave Search Team Brave Munich, Germany [email protected] Abstract of information has led to a significant transfer of power from cre- This paper proposes an open and collaborative system by which ators to aggregators. Access to information has been monopolized a community, or a single user, can create sets of rules and filters, by companies like Google and Facebook [27]. While everything is called Goggles, to define the space which a search engine can pull theoretically still retrievable, in practice we are looking at the world results from. Instead of a single ranking algorithm, we could have through the biases of a few providers, who act, unintentionally or as many as needed, overcoming the biases that a single actor (the not, as gatekeepers. Akin to the thought experiment about the tree search engine) embeds into the results. Transparency and openness, falling in the forest [3], if a page is not listed on Google’s results all desirable qualities, will become accessible through the deep re- page or in the Facebook feed, does it really exist? ranking capabilities Goggles would enable. Such system would be The biases of Google and Facebook, whether algorithmic, data made possible by the availability of a host search engine, providing induced, commercial or political dictate what version of the world the index and infrastructure, which are unlikely to be replicated we get to see. Reality becomes what the models we are fed depict without major development and infrastructure costs. Besides the it to be [24]. -
Tor and Circumvention: Lessons Learned
Tor and circumvention: Lessons learned Nick Mathewson The Tor Project https://torproject.org/ 1 What is Tor? Online anonymity 1) open source software, 2) network, 3) protocol Community of researchers, developers, users, and relay operators Funding from US DoD, Electronic Frontier Foundation, Voice of America, Google, NLnet, Human Rights Watch, NSF, US State Dept, SIDA, ... 2 The Tor Project, Inc. 501(c)(3) non-profit organization dedicated to the research and development of tools for online anonymity and privacy Not secretly evil. 3 Estimated ~250,000? daily Tor users 4 Anonymity in what sense? “Attacker can’t learn who is talking to whom.” Bob Alice Alice Anonymity network Bob Alice Bob 5 Threat model: what can the attacker do? Alice Anonymity network Bob watch Alice! watch (or be!) Bob! Control part of the network! 6 Anonymity isn't cryptography: Cryptography just protects contents. “Hi, Bob!” “Hi, Bob!” Alice <gibberish> attacker Bob 7 Anonymity isn't just wishful thinking... “You can't prove it was me!” “Promise you won't look!” “Promise you won't remember!” “Promise you won't tell!” “I didn't write my name on it!” “Isn't the Internet already anonymous?” 8 Anonymity serves different interests for different user groups. Anonymity “It's privacy!” Private citizens 9 Anonymity serves different interests for different user groups. Anonymity Businesses “It's network security!” “It's privacy!” Private citizens 10 Anonymity serves different interests for different user groups. “It's traffic-analysis resistance!” Governments Anonymity Businesses “It's network security!” “It's privacy!” Private citizens 11 Anonymity serves different interests for different user groups. -
Social Media Investigations Within the Dark Web About the Presenters
Social Media Investigations Within the Dark Web About the presenters Joe Church Founder & Owner Digital Shield, Incorporated Ashley Luna Product Manager X1 John Patzakis Executive Chairman X1 Agenda • X1 Overview • Digital Shield Overview • Introduction to the Dark Web • Accessing the Dark Web • Dark Web Collection Demo • Interactive Q&A X1 Social Discovery • Designed for investigative professionals to collect social posts, website content, webmail, and YouTube videos and other social media types all from within a single user interface. • Supports the simultaneous collection of content and metadata • Legally defensible collections that preserve chain of custody. • Build on X1’s patented & proven fast-as-you-type search technology Presenter Background • Joe Church – Digital Shield, Inc. • Prior LE/Federal LE • Private Business • Litigation Support • State/Federal/International Testimony • Case Work • Leading Technology • Course Development • Major Vendors Internet Layers Surface Web • Also called: ▫ World Wide Web ▫ Clearnet ▫ Visible Web • Topmost level of the web, searchable by surface crawlers ▫ Examples: Bing, Google, Yahoo Deep Web • Also called: ▫ Deepnet ▫ Invisible Web ▫ Hidden Web • Second level of the web • Cannot be reached by traditional search engines Dark Web • Also called: ▫ Darknet • Small portion of the Internet that is intentionally hidden ▫ Restricted, encrypted, and not fully indexed ▫ Often associated with criminal activity ▫ Originally developed by US military researches Dark Web • Creates an Overlay Network, a new -
Tor: the Second-Generation Onion Router (2014 DRAFT V1)
Tor: The Second-Generation Onion Router (2014 DRAFT v1) Roger Dingledine Nick Mathewson Steven Murdoch The Free Haven Project The Free Haven Project Computer Laboratory [email protected] [email protected] University of Cambridge [email protected] Paul Syverson Naval Research Lab [email protected] Abstract Perfect forward secrecy: In the original Onion Routing We present Tor, a circuit-based low-latency anonymous com- design, a single hostile node could record traffic and later munication service. This Onion Routing system addresses compromise successive nodes in the circuit and force them limitations in the earlier design by adding perfect forward se- to decrypt it. Rather than using a single multiply encrypted crecy, congestion control, directory servers, integrity check- data structure (an onion) to lay each circuit, Tor now uses an ing, configurable exit policies, anticensorship features, guard incremental or telescoping path-building design, where the nodes, application- and user-selectable stream isolation, and a initiator negotiates session keys with each successive hop in practical design for location-hidden services via rendezvous the circuit. Once these keys are deleted, subsequently com- points. Tor is deployed on the real-world Internet, requires promised nodes cannot decrypt old traffic. As a side benefit, no special privileges or kernel modifications, requires little onion replay detection is no longer necessary, and the process synchronization or coordination between nodes, and provides of building circuits is more reliable, since the initiator knows a reasonable tradeoff between anonymity, usability, and ef- when a hop fails and can then try extending to a new node.