Neither Denied Nor Exposed: Fixing Webrtc Privacy Leaks
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
What Is Threat Hunting?
$whoami ◎ Apurv Singh Gautam (@ASG_Sc0rpi0n) ◎ Security Researcher, Threat Intel/Hunting ◎ Cybersecurity @ Georgia Tech ◎ Prior: Research Intern at ICSI, UC Berkeley ◎ Hobbies ◎ Contributing to the security community ◎ Gaming/Streaming (Rainbow 6 Siege) ◎ Hiking, Lockpicking ◎ Social ◎ Twitter - @ASG_Sc0rpi0n ◎ Website – https://apurvsinghgautam.me 2 Agenda ◎ Introduction to the Dark Web ◎ Why hunting on the Dark Web? ◎ Methods to hunt on the Dark Web ◎ Can the Dark Web hunting be automated? ◎ Overall Picture ◎ OpSec? What’s that? ◎ Conclusion 3 Clear Web? Deep Web? Dark Web? 5 Image Source: UC San Diego Library Accessing the Dark Web ◎ Tor /I2P/ZeroNet ◎ .onion domains/.i2p domains ◎ Traffic through relays Image Sources: Hotspot Shield, Tor Project, I2P Project, ZeroNet 6 What’s all the Hype? ◎ Hype ○ Vast and mysterious part of the Internet ○ Place for cybercriminals only ○ Illegal to access the Dark Web ◎ Reality ○ Few reachable onion domains ○ Uptime isn’t ideal ○ Useful for free expression in few countries ○ Popular sites like Facebook, NYTimes, etc. ○ Legal to access the Dark Web 7 Relevant site types? ◎ General Markets ◎ PII & PHI ◎ Credit Cards ◎ Digital identities ◎ Information Trading ◎ Remote Access ◎ Personal Documents ◎ Electronic Wallets ◎ Insider Threats Image Source: Intsights 8 Sites Examples 9 Cost of products? ◎ SSN - $1 ◎ Fake FB with 15 friends - $1 ◎ DDoS Service - $7/hr ◎ Rent a Hacker - $12/hr ◎ Credit Card - $20+ ◎ Mobile Malware - $150 ◎ Bank Details - $1000+ ◎ Exploits or 0-days - $150,000+ ◎ Critical databases - $300,000+ 10 Product Examples 11 Image Source: Digital Shadows 12 Image Source: Digital Shadows 13 What is Threat Hunting? ◎ Practice of proactively searching for cyber threats ◎ Hypothesis-based approach ◎ Uses advanced analytics and machine learning investigations ◎ Proactive and iterative search 15 Why So Serious (Eh! Important)? ◎ Hacker forums, darknet markets, dump shops, etc. -
Uila Supported Apps
Uila Supported Applications and Protocols updated Oct 2020 Application/Protocol Name Full Description 01net.com 01net website, a French high-tech news site. 050 plus is a Japanese embedded smartphone application dedicated to 050 plus audio-conferencing. 0zz0.com 0zz0 is an online solution to store, send and share files 10050.net China Railcom group web portal. This protocol plug-in classifies the http traffic to the host 10086.cn. It also 10086.cn classifies the ssl traffic to the Common Name 10086.cn. 104.com Web site dedicated to job research. 1111.com.tw Website dedicated to job research in Taiwan. 114la.com Chinese web portal operated by YLMF Computer Technology Co. Chinese cloud storing system of the 115 website. It is operated by YLMF 115.com Computer Technology Co. 118114.cn Chinese booking and reservation portal. 11st.co.kr Korean shopping website 11st. It is operated by SK Planet Co. 1337x.org Bittorrent tracker search engine 139mail 139mail is a chinese webmail powered by China Mobile. 15min.lt Lithuanian news portal Chinese web portal 163. It is operated by NetEase, a company which 163.com pioneered the development of Internet in China. 17173.com Website distributing Chinese games. 17u.com Chinese online travel booking website. 20 minutes is a free, daily newspaper available in France, Spain and 20minutes Switzerland. This plugin classifies websites. 24h.com.vn Vietnamese news portal 24ora.com Aruban news portal 24sata.hr Croatian news portal 24SevenOffice 24SevenOffice is a web-based Enterprise resource planning (ERP) systems. 24ur.com Slovenian news portal 2ch.net Japanese adult videos web site 2Shared 2shared is an online space for sharing and storage. -
Pentest-Report Tunnelbear VPN & Software 10.2020
Dr.-Ing. Mario Heiderich, Cure53 Bielefelder Str. 14 D 10709 Berlin cure53.de · [email protected] Pentest-Report TunnelBear VPN & Software 10.2020 Cure53, Dr.-Ing. M. Heiderich, J. Larsson, M. Rupp, BSc. B. Walny, BSc. T.-C. “Filedescriptor” Hong, MSc. F. Fäßler, MSc. J. Hector, MSc. S. Moritz, MSc. N. Krein Index Introduction Scope Identified Vulnerabilities TB-08-001 API: Rate-limiting results in user-lockout (Medium) TB-08-007 FilterPods: Use of innerHTML leads to XSS in block page (Low) TB-08-010 FilterPods: Missing network restrictions allow access (High) TB-08-011 Web: Arbitrary redirect via Core2 route (Low) TB-08-019 Crypto: Known plain-text attack on sendLogs in AES (Medium) Miscellaneous Issues TB-08-002 Web: HTML injection in notification email via team name (Info) TB-08-003 Android: Secure flag missing on views (Info) TB-08-004 AWS: No KMS keys for SSE in SQS queues (Info) TB-08-005 Web: Error messages reveal internal information (Info) TB-08-006 Android: Unencrypted shared preferences and database (Info) TB-08-008 macOS : Hardening the Privileged Helper (Info) TB-08-009 Web: No HTTPS for data export link in emails (Low) TB-08-012 AWS: Expired ACM certificates (Info) TB-08-013 AWS: Insecure TLS Configuration Used (Medium) TB-08-014 AWS: DynamoDB encryption relies on AWS-owned keys (Medium) TB-08-015 AWS: Mutable ECR repositories (Info) TB-08-016 AWS: Insecure configuration on metadata instance (Medium) TB-08-017 AWS: Key-rotation process missing in IAM (Medium) TB-08-018 AWS: Stale and unused objects/roles in IAM (Info) Conclusions Cure53, Berlin · 11/12/20 1/28 Dr.-Ing. -
Distributed Deep Learning in Open Collaborations
Distributed Deep Learning In Open Collaborations Michael Diskin∗y~ Alexey Bukhtiyarov∗| Max Ryabinin∗y~ Lucile Saulnierz Quentin Lhoestz Anton Sinitsiny~ Dmitry Popovy~ Dmitry Pyrkin~ Maxim Kashirin~ Alexander Borzunovy~ Albert Villanova del Moralz Denis Mazur| Ilia Kobelevy| Yacine Jernitez Thomas Wolfz Gennady Pekhimenko♦♠ y Yandex, Russia z Hugging Face, USA ~ HSE University, Russia | Moscow Institute of Physics and Technology, Russia } University of Toronto, Canada ♠ Vector Institute, Canada Abstract Modern deep learning applications require increasingly more compute to train state-of-the-art models. To address this demand, large corporations and institutions use dedicated High-Performance Computing clusters, whose construction and maintenance are both environmentally costly and well beyond the budget of most organizations. As a result, some research directions become the exclusive domain of a few large industrial and even fewer academic actors. To alleviate this disparity, smaller groups may pool their computational resources and run collaborative experiments that benefit all participants. This paradigm, known as grid- or volunteer computing, has seen successful applications in numerous scientific areas. However, using this approach for machine learning is difficult due to high latency, asymmetric bandwidth, and several challenges unique to volunteer computing. In this work, we carefully analyze these constraints and propose a novel algorithmic framework designed specifically for collaborative training. We demonstrate the effectiveness of our approach for SwAV and ALBERT pretraining in realistic conditions and achieve performance comparable to traditional setups at a fraction of the cost. arXiv:2106.10207v1 [cs.LG] 18 Jun 2021 Finally, we provide a detailed report of successful collaborative language model pretraining with 40 participants. 1 Introduction The deep learning community is becoming increasingly more reliant on transfer learning. -
User Datagram Protocol - Wikipedia, the Free Encyclopedia Página 1 De 6
User Datagram Protocol - Wikipedia, the free encyclopedia Página 1 de 6 User Datagram Protocol From Wikipedia, the free encyclopedia The five-layer TCP/IP model User Datagram Protocol (UDP) is one of the core 5. Application layer protocols of the Internet protocol suite. Using UDP, programs on networked computers can send short DHCP · DNS · FTP · Gopher · HTTP · messages sometimes known as datagrams (using IMAP4 · IRC · NNTP · XMPP · POP3 · Datagram Sockets) to one another. UDP is sometimes SIP · SMTP · SNMP · SSH · TELNET · called the Universal Datagram Protocol. RPC · RTCP · RTSP · TLS · SDP · UDP does not guarantee reliability or ordering in the SOAP · GTP · STUN · NTP · (more) way that TCP does. Datagrams may arrive out of order, 4. Transport layer appear duplicated, or go missing without notice. TCP · UDP · DCCP · SCTP · RTP · Avoiding the overhead of checking whether every RSVP · IGMP · (more) packet actually arrived makes UDP faster and more 3. Network/Internet layer efficient, at least for applications that do not need IP (IPv4 · IPv6) · OSPF · IS-IS · BGP · guaranteed delivery. Time-sensitive applications often IPsec · ARP · RARP · RIP · ICMP · use UDP because dropped packets are preferable to ICMPv6 · (more) delayed packets. UDP's stateless nature is also useful 2. Data link layer for servers that answer small queries from huge 802.11 · 802.16 · Wi-Fi · WiMAX · numbers of clients. Unlike TCP, UDP supports packet ATM · DTM · Token ring · Ethernet · broadcast (sending to all on local network) and FDDI · Frame Relay · GPRS · EVDO · multicasting (send to all subscribers). HSPA · HDLC · PPP · PPTP · L2TP · ISDN · (more) Common network applications that use UDP include 1. -
Demystifying Content-Blockers: a Large-Scale Study of Actual Performance Gains
Demystifying Content-blockers: A Large-scale Study of Actual Performance Gains Ismael Castell-Uroz Josep Sole-Pareta´ Pere Barlet-Ros Universitat Politecnica` de Catalunya Universitat Politecnica` de Catalunya Universitat Politecnica` de Catalunya Barcelona, Spain Barcelona, Spain Barcelona, Spain [email protected] [email protected] [email protected] Abstract—With the evolution of the online advertisement and highly parallel network measurement system [10] that loads tracking ecosystem, content-filtering has become the reference every website using one of the most relevant content-blockers tool for improving the security, privacy and browsing experience of each category and compares their performance. when surfing the Internet. It is also commonly believed that using content-blockers to stop unsolicited content decreases the time We found that, although we can observe some improvements needed for loading websites. In this work, we perform a large- in terms of effective page size, the results do not directly scale study with the 100K most popular websites on the actual translate to gains in loading time. In some cases, there could performance improvements of using content-blockers. We focus even be an overhead to be paid. This is the case for two of the our study on two relevant metrics for measuring the browsing studied plugins, especially in small and fast loading websites. performance; page size and loading time. Our results show that using such tools results in small improvements in terms of page The measurement system and methodology proposed in this size but, contrary to popular belief, it has a negligible impact in paper can also be useful for network and service administrators terms of loading time. -
Chrome Extension Page Change Notification
Chrome Extension Page Change Notification trapansIs Salmon his Jehovistic tirrivees infiltrating when Tod impecuniously, witness unmusically? but shelliest Peirce Chauncey remains subcorticalnever clinks after so vortically. Batholomew mobilising slangily or outmans any troilism. Lazlo Tab title now shows a countdown timer and status. Receive a notification whenever the browser is being used and you however not tracking time. If disabled click this affiliate link happy buy a product or service, we may is paid first fee rule that merchant. Winternals Defragmentation, Recovery, and Administration Field Guide foster the technical editor for Rootkits for Dummies. It will even explode if your keyboard and mouse go untouched for two minutes or more. Or just mail it into yourself to read whenever. Save money remove the hassle. Reload your Chrome extension. Safari using our extension! Here became the latest Insider stories. Configure the refrigerator of enterprise login URLs where password protection service can capture fingerprint of password. Failed to load latest commit information. TODO: we should top the class names and whatnot in post here. Here is day you did remove notifications in Google Chrome completely and effectively. User or password incorrect! Specificity needed here that override widget CSS defaults. The best renderings in is world! Ability to update settings of respective job. In life case, our extension will also have a configuration page, so moving will have use nuclear option. Showing the prompt to load on sat site or visit you just annoying, though. Why my multiple nations decide to launch Mars projects at exactly she same time? Vox Media has affiliate partnerships. -
An Investigation Into the Security and Privacy of Ios VPN Applications
An Investigation Into the Security and Privacy of iOS VPN Applications Jack Wilson Division of Cybersecurity School of Design and Informatics Abertay University, Dundee A thesis submitted for the degree of Bachelor of Science with Honours in Ethical Hacking 1st May 2018 Word Count: 11,448 Abstract Due to the increasing number of recommendations for people to use VPN’s for privacy reasons, more app developers are creating VPN apps and publishing them on the Apple App Store and Google Play Store. In this ‘gold rush’, apps are being developed quickly and, in turn, not being developed with security fully in mind. This paper investigated a selection of free VPN applications available on the Apple App Store (for iOS devices) and test the apps for security and privacy. This includes testing for any traffic being transmitted over plain HTTP, DNS leakage and transmission of personally-identifiable information (such as phone number, IMEI 1, email address, MAC address) and evaluating the security of the tunnelling protocol used by the VPN. The testing methodology involved installing free VPN apps on a test device (an iPhone 6 running iOS 11), simulating network traffic for a pre-defined period of time and capturing the traffic (either through ARP spoofing, or through a proxy program such as Burpsuite). This allows for all traffic to be analysed to check for anything being sent without encryption. Other issues that often cause de-anonymisation with VPN applications such as DNS leakage can be tested using websites such as dnsleaktest.com. The research found several common security issues with the VPN applications that were tested, with a large majority of the applications tested failing to implement HTTPS. -
RBS-2019-014 Honey Browser Extension Content Script Improper
RBS-2019-014 Honey Browser Extension Content Script Improper DOM Handling Browser Action UI Spoofing Table of Contents Table of Contents 2 Vendor / Product Information 3 Vulnerable Program Details 3 Credits 3 Impact 3 Vulnerability Details 3 Solution 4 References 4 Timeline 4 About Risk Based Security 5 Company History 5 Solutions 5 2019-07-31 2 of 5 Vendor / Product Information The Honey Browser Extension for Chrome, Firefox, Safari, and Edge allows users to instantly find and apply coupon codes at checkout for over 30,000 online shopping sites and, according to the vendor, 10,000,000 members utilize the extension. Vulnerable Program Details Details for tested products and versions: Vendor: Honey Science Corporation Product: Honey Browser Extensions for Chrome, Firefox, Safari, and Edge Versions: Honey Addon for Firefox version 10.8.1 and 11.1.0 Honey Extension for Chrome 10.8.1, 11.0.2, 11.1.0, 11.1.1, 11.1.2, 11.2.1, and 11.2.2 Honey Extension for Edge 11.1.1.0 Honey Extension for Safari 10.9.0 NOTE: Other versions than the one listed above are likely affected. Credits Sven Krewitt, Risk Based Security Twitter: @RiskBased Impact The browser extension’s content script is used to inject and display UI elements in the Document Object Model (DOM) of the current web page. When a user activates the browser action while visiting a specially crafted web site, a context-dependent attacker can spoof UI elements of the browser extension and conduct phishing attacks. Vulnerability Details The Honey browser extensions are activated when a user clicks on the Honey extension logo in the browser toolbar. -
User Guide Contents
USER GUIDE CONTENTS What's new 4 About Magnet OUTRIDER 5 Getting started with Magnet OUTRIDER 6 System requirements 6 Use Magnet OUTRIDER on a dongle 6 Use a trial license of Magnet OUTRIDER 6 Understanding changes made to the system 7 Detecting Bitlocker encrypted drives 8 Scanning a target 9 Scan a computer 9 Encryption screening 9 Scan an external drive 10 Scan a folder 10 Configuring scan options 11 Locate files and apps settings 11 Collect artifacts and scan browser history settings 13 CSAM Detection Technology settings 14 Scan options 15 Reporting options 16 Miscellaneous options 16 Adding keywords and NCMEC report data to a search 17 Import a keyword list or NCMEC report data 17 View a keyword list or NCMEC report data 17 Export a keyword list or NCMEC report data 18 Reviewing scan results 19 Mark a CRC CSAM hit as a false positive 19 Starting a new scan 20 Supported application categories 20 Viewing and exporting scan reports 22 View scan reports 22 Navigating your scan report folder 22 Contents of scan reports 23 View and export an error list 23 Exporting filename keyword hits and CRC CSAM hits 25 Export filename keyword hits or CRC CSAM hits 25 Export a list of saved hits 25 Updating Magnet OUTRIDER 27 Update Magnet OUTRIDER manually 27 Automatically check for updates 27 User Guide WHAT'S NEW VERSION DESCRIPTION 2.1.0 l Updated Configuring scan options with information about scanning connected networks, new supported operating system artifacts, and customizing case and report locations. 2.0.0 l Updated Reviewing scan results with information about new supported apps. -
Routing Loop Attacks Using Ipv6 Tunnels
Routing Loop Attacks using IPv6 Tunnels Gabi Nakibly Michael Arov National EW Research & Simulation Center Rafael – Advanced Defense Systems Haifa, Israel {gabin,marov}@rafael.co.il Abstract—IPv6 is the future network layer protocol for A tunnel in which the end points’ routing tables need the Internet. Since it is not compatible with its prede- to be explicitly configured is called a configured tunnel. cessor, some interoperability mechanisms were designed. Tunnels of this type do not scale well, since every end An important category of these mechanisms is automatic tunnels, which enable IPv6 communication over an IPv4 point must be reconfigured as peers join or leave the tun- network without prior configuration. This category includes nel. To alleviate this scalability problem, another type of ISATAP, 6to4 and Teredo. We present a novel class of tunnels was introduced – automatic tunnels. In automatic attacks that exploit vulnerabilities in these tunnels. These tunnels the egress entity’s IPv4 address is computationally attacks take advantage of inconsistencies between a tunnel’s derived from the destination IPv6 address. This feature overlay IPv6 routing state and the native IPv6 routing state. The attacks form routing loops which can be abused as a eliminates the need to keep an explicit routing table at vehicle for traffic amplification to facilitate DoS attacks. the tunnel’s end points. In particular, the end points do We exhibit five attacks of this class. One of the presented not have to be updated as peers join and leave the tunnel. attacks can DoS a Teredo server using a single packet. The In fact, the end points of an automatic tunnel do not exploited vulnerabilities are embedded in the design of the know which other end points are currently part of the tunnels; hence any implementation of these tunnels may be vulnerable. -
E Cost of Ad Blocking Pagefair and Adobe 2015 Ad Blocking Report
!e cost of ad blocking PageFair and Adobe 2015 Ad Blocking Report Introduction In the third annual ad blocking report, PageFair, with the help of Adobe, provides updated data on the scale and growth of ad blocking so"ware usage and highlights the global and regional economic impact associated with it. Additionally, this report explores the early indications surrounding the impact of ad blocking within the mobile advertising space and how mobile will change the ad blocking landscape. Table of Contents 3. Key insights 8. Effect of ad blocking by industry 13. A"erword 4. Global ad blocking growth 9. Google Chrome still the main driver of ad 14. Background 5. Usage of ad blocking so"ware in the United block growth 15. Methodology States 10. Mobile is yet to be a factor in ad blocking 16. Tables 6. Usage of ad blocking so"ware in Europe growth 17. Tables 7. !e cost of blocking ads 11. Mobile will facilitate future ad blocking growth 12. Reasons to start using an ad blocker PAGEFAIR AND ADOBE | 2015 Ad Blocking Report 2 Key Insights More consumers block ads, continuing the strong growth rates seen during 2013 and 2014. 41% YoY global growth Q2 2014 - Q2 2015 !e "ndings • Globally, the number of people using ad blocking so"ware grew by 41% year over year. • 16% of the US online population blocked ads during Q2 2015. • Ad block usage in the United States grew 48% during the past year, increasing to 45 million monthly active 45 million users (MAUs) during Q2 2015. Average MAUs in the United • Ad block usage in Europe grew by 35% during the past year, increasing to 77 million monthly active users States Q2 2015 during Q2 2015.