When Governments Hack Opponents: a Look at Actors and Technology William R
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
Whisperkey: Creating a User-Friendly URL Shortener
WhisperKey: Creating a User-Friendly URL Shortener Eunice Lin, Flora Tan, Linda Wang May 12, 2016 Abstract of links. Unlike other popular URL shorteners such as Tinyurl or Bitly that map the original URL to a URL shorteners convert long, unwieldy URLs into random string of letters and numbers, ShoutKey was shorter ones and redirect all requests to the short- designed to be user-friendly by using keys that are ened URL to the original website. In this project, standard English words that are easily pronounced we investigate the security flaws of ShoutKey, an or spelled. This makes it easy for users to share easy-to-use temporary URL shortener that maps a link to those in close proximity, for example, by simple dictionary words to a given URL of interest. verbally telling the key to a friend across the room or writing it on a whiteboard at the front of class. We first conduct a security analysis of the vulnera- Anyone who goes to the ShoutKey link can access bilities encompassed by Shoutkey. Then, we conduct the corresponding URL. a standard dictionary attack to access private URLs, storing the successful dictionary words in a separate database to conduct a second, more optimized dic- tionary attack, and analyzing the successful redirects to determine if there is any leakage of private user data. Finally, we propose a more secure implementa- tion of ShoutKey called WhisperKey and empirically analyze how WhisperKey is designed to be less prone to security attacks than ShoutKey is. 1 Introduction 1.1 URL Shorteners Figure 1: A ShoutKey with "laugh" as its key. -
Identifying Threats Associated with Man-In-The-Middle Attacks During Communication Between a Mobile Device and the Back End Server in Mobile Banking Applications
IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 16, Issue 2, Ver. IX (Mar-Apr. 2014), PP 35-42 www.iosrjournals.org Identifying Threats Associated With Man-In-The-Middle Attacks during Communication between a Mobile Device and the Back End Server in Mobile Banking Applications Anthony Luvanda1,*Dr Stephen Kimani1 Dr Micheal Kimwele1 1. School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, PO Box 62000-00200 Nairobi Kenya Abstract: Mobile banking, sometimes referred to as M-Banking, Mbanking or SMS Banking, is a term used for performing balance checks, account transactions, payments, credit applications and other banking transactions through a mobile device such as a mobile phone or Personal Digital Assistant (PDA). Mobile banking has until recently most often been performed via SMS or the Mobile Web. Apple's initial success with iPhone and the rapid growth of phones based on Google's Android (operating system) have led to increasing use of special client programs, called apps, downloaded to the mobile device hence increasing the number of banking applications that can be made available on mobile phones . This in turn has increased the popularity of mobile device use in regards to personal banking activities. Due to the characteristics of wireless medium, limited protection of the nodes, nature of connectivity and lack of centralized managing point, wireless networks tend to be highly vulnerable and more often than not they become subjects of attack. This paper proposes to identify potential threats associated with communication between a mobile device and the back end server in mobile banking applications. -
Phishing Detection Using Machine Learning
Phishing detection using machine learning MSc Research Project MSc Cyber Security Suraj Wandhare Student ID: 18157432 School of Computing National College of Ireland Supervisor: Ben Fletcher www.ncirl.ie National College of Ireland Project Submission Sheet School of Computing Student Name: Suraj Wandhare Student ID: 18157432 Programme: MSc Cyber Security Year: 2019 Module: MSc Research Project Supervisor: Ben Fletcher Submission Due Date: 03/02/2020 Project Title: Phishing detection using machine learning Word Count: 3500 Page Count: 11 I hereby certify that the information contained in this (my submission) is information pertaining to research I conducted for this project. All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project. ALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author's written or electronic work is illegal (plagiarism) and may result in disciplinary action. I agree to an electronic copy of my thesis being made publicly available on NORMA the National College of Ireland's Institutional Repository for consultation. Signature: Date: 3rd February 2020 PLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST: Attach a completed copy of this sheet to each project (including multiple copies). Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies). You must ensure that you retain a HARD COPY of the project, both for your own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. -
2015 Threat Report Provides a Comprehensive Overview of the Cyber Threat Landscape Facing Both Companies and Individuals
THREAT REPORT 2015 AT A GLANCE 2015 HIGHLIGHTS A few of the major events in 2015 concerning security issues. 08 07/15: Hacking Team 07/15: Bugs prompt 02/15: Europol joint breached, data Ford, Range Rover, 08/15: Google patches op takes down Ramnit released online Prius, Chrysler recalls Android Stagefright botnet flaw 09/15: XcodeGhost 07/15: Android 07/15: FBI Darkode tainted apps prompts Stagefright flaw 08/15: Amazon, ENFORCEMENT bazaar shutdown ATTACKS AppStore cleanup VULNERABILITY reported SECURITYPRODUCT Chrome drop Flash ads TOP MALWARE BREACHING THE MEET THE DUKES FAMILIES WALLED GARDEN The Dukes are a well- 12 18 resourced, highly 20 Njw0rm was the most In late 2015, the Apple App prominent new malware family in 2015. Store saw a string of incidents where dedicated and organized developers had used compromised tools cyberespionage group believed to be to unwittingly create apps with malicious working for the Russian Federation since behavior. The apps were able to bypass at least 2008 to collect intelligence in Njw0rm Apple’s review procedures to gain entry support of foreign and security policy decision-making. Angler into the store, and from there into an ordinary user’s iOS device. Gamarue THE CHAIN OF THE CHAIN OF Dorkbot COMPROMISE COMPROMISE: 23 The Stages 28 The Chain of Compromise Nuclear is a user-centric model that illustrates Kilim how cyber attacks combine different Ippedo techniques and resources to compromise Dridex devices and networks. It is defined by 4 main phases: Inception, Intrusion, WormLink Infection, and Invasion. INCEPTION Redirectors wreak havoc on US, Europe (p.28) INTRUSION AnglerEK dominates Flash (p.29) INFECTION The rise of rypto-ransomware (p.31) THREATS BY REGION Europe was particularly affected by the Angler exploit kit. -
Government Hacking What Is It and When Should It Be Used?
Government Hacking What is it and when should it be used? Encryption is a critical component of our day-to-day lives. For much of the world, basic aspects of life rely on encryption to function. Power systems, transport, financial markets, and baby monitors1 are more trustworthy because of encryption. Encryption protects our most vulnerable data from criminals and terrorists, but it can also hide criminal content from governments. Government hacking is one of the approaches national security and law enforcement agencies use to obtain access to otherwise encrypted information (e.g. the FBI hired a hacking company to unlock the iPhone at the center of the San Bernardino case2). It complements their other efforts to obtain exceptional access3 by asking or requiring tech companies to have the technical ability to decrypt users’ content when it is needed for law enforcement purposes. The Internet Society believes strong encryption is vital to the health of the Internet and is deeply concerned about any policy or action that might put that in jeopardy — regardless of its motivation. Government hacking poses a risk of collateral damage to both the Internet and its users, and as such should only ever be considered as a tool of last resort. Government hacking defined We define ‘government hacking’ as government entities (e.g. national security or law enforcement agencies or private actors on their behalf) exploiting vulnerabilities in systems, software, or hardware to gain access to information that is otherwise encrypted, or inaccessible. Dangers of government hacking Exploiting vulnerabilities of any kind, whether for law enforcement purposes, security testing, or any other purpose, should not be taken lightly. -
Longitudinal Study of Links, Linkshorteners, and Bitly Usage on Twitter Longitudinella Mätningar Av Länkar, Länkförkortare Och Bitly An- Vänding På Twitter
Linköping University | Department of Computer and Information Science Bachelor’s thesis, 16 ECTS | Link Usage 2020 | LIU-IDA/LITH-EX-G--20/001--SE Longitudinal study of links, linkshorteners, and Bitly usage on Twitter Longitudinella mätningar av länkar, länkförkortare och Bitly an- vänding på Twitter Mathilda Moström Alexander Edberg Supervisor : Niklas Carlsson Examiner : Marcus Bendtsen Linköpings universitet SE–581 83 Linköping +46 13 28 10 00 , www.liu.se Upphovsrätt Detta dokument hålls tillgängligt på Internet - eller dess framtida ersättare - under 25 år från publicer- ingsdatum under förutsättning att inga extraordinära omständigheter uppstår. Tillgång till dokumentet innebär tillstånd för var och en att läsa, ladda ner, skriva ut enstaka ko- pior för enskilt bruk och att använda det oförändrat för ickekommersiell forskning och för undervis- ning. Överföring av upphovsrätten vid en senare tidpunkt kan inte upphäva detta tillstånd. All annan användning av dokumentet kräver upphovsmannens medgivande. För att garantera äktheten, säker- heten och tillgängligheten finns lösningar av teknisk och administrativ art. Upphovsmannens ideella rätt innefattar rätt att bli nämnd som upphovsman i den omfattning som god sed kräver vid användning av dokumentet på ovan beskrivna sätt samt skydd mot att dokumentet ändras eller presenteras i sådan form eller i sådant sammanhang som är kränkande för upphovsman- nens litterära eller konstnärliga anseende eller egenart. För ytterligare information om Linköping University Electronic Press se förlagets hemsida http://www.ep.liu.se/. Copyright The publishers will keep this document online on the Internet - or its possible replacement - for a period of 25 years starting from the date of publication barring exceptional circumstances. The online availability of the document implies permanent permission for anyone to read, to down- load, or to print out single copies for his/hers own use and to use it unchanged for non-commercial research and educational purpose. -
JETIR Research Journal
© 2018 JETIR April 2018, Volume 5, Issue 4 www.jetir.org (ISSN-2349-5162) Comparative Analysis of Malicious Detection of Short URLs from Tweets 1Tareek Pattewar, 2Manish Wagh, 3Umesh Bisnariya, 4Lomesh Patil 1Assistant Professor, 2 3 4 Students Department of Information Technology R C Patel Institute of Technology, Shirpur Dist. Dhule-425405 Maharashtra, India Abstract : Online Social Networks (OSNs) have become fundamental parts of our online lives, and their popularity is increasing at a surprising rate every day. Growing popularity of Twitter has attracted the attention of attackers who attempt to manipulate the features provided by Twitter to gain some advantage, such as driving Twitter users to other websites that they post as short URLs (Uniform Resource Locators) in their tweets. Even short URLs are also used to avoid sharing overly long URLs and save limited text space in tweets. Significant numbers of URLs shared in the OSNs are shortened URLs. Despite of its potential benefits from genuine usage, attackers use shortened URLs to hide the malicious URLs, which direct users to malicious pages. Although, OSN service providers and URL shortening services utilize certain detection mechanisms to prevent malicious URLs from being shortened, research has found that they fail to do so effectively. In this paper, we developed mechanism to develop a machine learning classifier which detect malicious short URLs. And comparative analysis of detection rate with various classification algorithm, and but also with online detection on Virus Total. Index Terms - Online Social Networks, twitter, short URLs, malicious URLs, machine Learning, classification ________________________________________________________________________________________________________ I. INTRODUCTION In the age of web 2.0, information is contained in the form of webpages and shared via Online Social Networks (OSNs), emails, messages, and texts. -
Internet Security Threat Report VOLUME 21, APRIL 2016 TABLE of CONTENTS 2016 Internet Security Threat Report 2
Internet Security Threat Report VOLUME 21, APRIL 2016 TABLE OF CONTENTS 2016 Internet Security Threat Report 2 CONTENTS 4 Introduction 21 Tech Support Scams Go Nuclear, 39 Infographic: A New Zero-Day Vulnerability Spreading Ransomware Discovered Every Week in 2015 5 Executive Summary 22 Malvertising 39 Infographic: A New Zero-Day Vulnerability Discovered Every Week in 2015 8 BIG NUMBERS 23 Cybersecurity Challenges For Website Owners 40 Spear Phishing 10 MOBILE DEVICES & THE 23 Put Your Money Where Your Mouse Is 43 Active Attack Groups in 2015 INTERNET OF THINGS 23 Websites Are Still Vulnerable to Attacks 44 Infographic: Attackers Target Both Large and Small Businesses 10 Smartphones Leading to Malware and Data Breaches and Mobile Devices 23 Moving to Stronger Authentication 45 Profiting from High-Level Corporate Attacks and the Butterfly Effect 10 One Phone Per Person 24 Accelerating to Always-On Encryption 45 Cybersecurity, Cybersabotage, and Coping 11 Cross-Over Threats 24 Reinforced Reassurance with Black Swan Events 11 Android Attacks Become More Stealthy 25 Websites Need to Become Harder to 46 Cybersabotage and 12 How Malicious Video Messages Could Attack the Threat of “Hybrid Warfare” Lead to Stagefright and Stagefright 2.0 25 SSL/TLS and The 46 Small Business and the Dirty Linen Attack Industry’s Response 13 Android Users under Fire with Phishing 47 Industrial Control Systems and Ransomware 25 The Evolution of Encryption Vulnerable to Attacks 13 Apple iOS Users Now More at Risk than 25 Strength in Numbers 47 Obscurity is No Defense -
Compromised Connections
COMPROMISED CONNECTIONS OVERCOMING PRIVACY CHALLENGES OF THE MOBILE INTERNET The Universal Declaration of Human Rights, the International Covenant on Civil and Political Rights, and many other international and regional treaties recognize privacy as a fundamental human right. Privacy A WORLD OF INFORMATION underpins key values such as freedom of expression, freedom of association, and freedom of speech, IN YOUR MOBILE PHONE and it is one of the most important, nuanced and complex fundamental rights of contemporary age. For those of us who care deeply about privacy, safety and security, not only for ourselves but also for our development partners and their missions, we need to think of mobile phones as primary computers As mobile phones have transformed from clunky handheld calling devices to nifty touch-screen rather than just calling devices. We need to keep in mind that, as the storage, functionality, and smartphones loaded with apps and supported by cloud access, the networks these phones rely on capability of mobiles increase, so do the risks to users. have become ubiquitous, ferrying vast amounts of data across invisible spectrums and reaching the Can we address these hidden costs to our digital connections? Fortunately, yes! We recommend: most remote corners of the world. • Adopting device, data, network and application safety measures From a technical point-of-view, today’s phones are actually more like compact mobile computers. They are packed with digital intelligence and capable of processing many of the tasks previously confined -
Mobile Financial Fraud April 2013
White Paper: Mobile Financial Fraud April 2013 Mobile Threats and the Underground Marketplace Principal Investigator and Corresponding Author Jart Armin Contributing Researchers Andrey Komarov, Mila Parkour, Raoul Chiesa, Bryn Thompson, Will Rogofsky Panel & Review Dr. Ray Genoe (UCD), Robert McArdle (Trend Micro), Dave Piscitello (ICANN), Foy Shiver (APWG), Edgardo Montes de Oca (Montimage), Peter Cassidy (APWG) APWG Mobile Fraud web site http://ecrimeresearch.org/wirelessdevice/Fraud/ Table of Contents Abstract ..................................................................................................................................... 2 Introduction and Starting Position ........................................................................................ 2 A Global Overview .................................................................................................................. 3 Vulnerabilities Overview ....................................................................................................... 3 The Underground Mobile Market ....................................................................................... 13 Mobile DNS & Traffic ........................................................................................................... 15 iBots & the Pocket Botnet ..................................................................................................... 18 Mobile Intrusion ................................................................................................................... -
Using URL Shorteners to Compare Phishing and Malware Attacks
Using URL Shorteners to Compare Phishing and Malware Attacks Sophie Le Page Guy-Vincent Jourdan Gregor v. Bochmann University of Ottawa University of Ottawa University of Ottawa [email protected] [email protected] [email protected] Jason Flood Iosif-Viorel Onut CTO Security Data Matrices IBM Centre for Advanced Studies fl[email protected] [email protected] Abstract—In this work we use URL shortener click analytics to providers such as bit.ly1 or goo.gl2, allow viewing in real time compare the life cycle of phishing and malware attacks. We have the click traffic of a given short URL, including referrers and collected over 7,000 malicious short URLs categorized as phishing countries referring it. or malware for the 2 year period covering 2016 and 2017, along with their reported date. We analyze the short URLs and find Unfortunately attackers abuse URL shortening services, that phishing attacks are most active 4 hours before the reported perhaps to mask the final destination where the victim will date, while malware attacks are most active 4 days before the land after clicking on the malicious link. In our research we reported date. We find that phishing attacks have higher click make use of the Bitly URL shortening service, reportedly the through rate with shorter timespan. Conversely malware attacks most popular service [1], [2], to analyze clicks for phishing and have lower click through rate with longer timespan. We also show the comparisons of referrers and countries from which malware attacks. By phishing attacks we mean websites that short URLs are accessed, showing in particular an increased trick a user into providing personal or financial information by use of social media to spread both kinds of attacks. -
APT and Cybercriminal Targeting of HCS June 9, 2020 Agenda
APT and Cybercriminal Targeting of HCS June 9, 2020 Agenda • Executive Summary Slides Key: • APT Group Objectives Non-Technical: managerial, strategic • APT Groups Targeting Health Sector and high-level (general audience) • Activity Timeline Technical: Tactical / IOCs; requiring • TTPs in-depth knowledge (sysadmins, IRT) • Malware • Vulnerabilities • Recommendations and Mitigations TLP: WHITE, ID#202006091030 2 Executive Summary • APT groups steal data, disrupt operations, and destroy infrastructure. Unlike most cybercriminals, APT attackers pursue their objectives over longer periods of time. They adapt to cyber defenses and frequently retarget the same victim. • Common HPH targets include: • Healthcare Biotechnology Medical devices • Pharmaceuticals Healthcare information technology • Scientific research • HPH organizations who have been victim of APT attacks have suffered: • Reputational harm Disruption to operations • Financial losses PII/PHI and proprietary data theft • HC3 recommends several mitigations and controls to counter APT threats. TLP: WHITE, ID#202006091030 3 APT Group Objectives • Motivations of APT Groups which target the health sector include: • Competitive advantage • Theft of proprietary data/intellectual capital such as technology, manufacturing processes, partnership agreements, business plans, pricing documents, test results, scientific research, communications, and contact lists to unfairly advance economically. • Intelligence gathering • Groups target individuals and connected associates to further social engineering