Kindred Security Newsletter
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
2020 Identity Theft Statistics | Consumeraffairs
2020 Identity Theft Statistics | ConsumerAffairs Trending Home / Finance / Identity Theft Protection / Identity theft statistics Buyers Guides Last Updated 01/16/2020 News Write a review 2020Write a review Identity theft statistics Trends and statistics about identity theft Learn about identity theft protection by Rob Douglas Identity Theft Protection Contributing Editor In 2018, the Federal Trade Commission processed 1.4 million fraud reports totaling $1.48 billion in losses. According to the FTC’s “Consumer Sentinel Network Data Book,” the most common categories for fraud complaints were imposter scams, debt collection and identity theft. Credit card fraud was most prevalent in identity theft cases — more than 167,000 people reported a fraudulent credit card account was opened with their information. Identity theft trends in 2019 In the next year, the Identity Theft Resource Center (ITRC) predicts identity theft protection services will primarily focus on data breaches, data abuse and data privacy. ITRC also predicts that https://www.consumeraffairs.com/finance/identity-theft-statistics.html 2020 Identity Theft Statistics | ConsumerAffairs consumers will become more knowledgeable about how data breaches work and expect companies to provide more information about the specific types of data breached and demand more transparency in general in data breach reports. Cyber attacks are more ambitious According to a 2019 Internet Security Threat Report by Symantec, cybercriminals are diversifying their targets and using stealthier methods to commit identity theft and fraud. Cybercrime groups like Mealybug, Gallmaker and Necurs are opting for off-the-shelf tools and operating system features such as PowerShell to attack targets. Supply chain attacks are up 78% Malicious PowerShell scripts have increased by 1,000% Microsoft Office files make up 48% of malicious email attachments Internet of Things threats on the rise Cybercriminals attack IoT devices an average of 5,233 times per month. -
SERI Conference Proceedings SHORTLISTED PAPERS
National Centre of Excellence for Cybersecurity Technology PRESENTS AT Development & Entrepreneurship OUR PARTNERS Promoting Cybersecurity Education, Research and Innovation SERI Conference Proceedings SHORTLISTED PAPERS THEME AUTHORS INSTITUTE/ ORGANIZATION Data Privacy Signify North America Considerations during HARSHA BANAVARA Corporation, Burlington, Requirements Phase of MA USA IoT Product Development ASTRA: A Post AKSHAY JAIN Exploitation Red Teaming DR. BHUVNA J Jain University, Bengaluru tool SUBARNA PANDA zSpaze Technologies, New Space and New RAMESH KUMAR V Bengaluru Threats PRASANNA PHANINDRAN Easwari Engineering College, Chennai Cross-Channel Scripting Attacks (XCS) in Web SHASHIDHAR R Bennett University Applications Quantum Cryptography SANCHALI KSHIRSAGAR UMIT SNDT Women's and Use Cases: A Short DR. SANJYA PAWAR University, Mumbai Survey Paper SHRAVANI SHAHAPURE NCoE-DSCI, New Delhi Securing IoT using Tata Advanced System SHALINI DHULL Permissioned Blockchain Limited, Noida Parul University, Vadodara An Analysis of Internet of YASSIR FAROOQUI Sankalchand Patel University, Things(IoT) Architecture DR. KIRIT MODI Visnagar Zonal advisory at Consumer Cyber Security-Modern Era DR. SUMANTA BHATTACHARYA Challenge to Human Race Rights Organization BHAVNEET KAUR SACHDEV and it’s impact on COVID-19 Indian Institute of Human Data Privacy Considerations during Requirements Phase of IoT Product Development HARSHA BANAVARA Data Privacy Considerations during Requirements Phase of IoT Product Development Harsha Banavara Signify North America -
The Onpoint Guide to Personal Cybersecurity
2021 GUIDE TO Personal cybersecurity Introduction: About this eBook . .3 Chapter 1: Securing your accounts . 4 Protect yourself from cybercrime . 5 Setting a strong username and password . 6 Chapter 2: Protecting your data online . .8 Social media cybersecurity best practices . 9 Malware and viruses . 10 Stay vigilant and protect your data . 11 Chapter 3: Digital protection checklist . 13 Chapter 4: How to spot and avoid common internet scams . .14 Digital account hijacking . 15 Sweetheart fraud . 16 Phishing, vishing, smishing . 17 Table of contents Quick money, unexpected windfalls, and too-good-to-be-true offers . 18 Fake approval notices . 19 Chapter 5: How to spot and avoid common offline scams . 20 ATM fraud . 21 SIM card swapping . 22 Chapter 6: Know the common signs of identity theft . 23. Chapter 7: What to do if you’ve been scammed . 24 Chapter 8: Tips for talking to your children about online safety . 25 Teaching kids about cybersecurity . 26 Chapter 9: Small business cybersecurity . .27 Chapter 10: List of resources . 28 Conclusion . 29 2 The risk of identity theft has grown in large part due to the rising number of connected devices in our lives. Every time we open an account to try a new service, swipe our cards, or participate in social media, we increase the risk of exposure. Millions of Americans are the victims of identity theft and fraud each year. With massive data breaches frequently making headlines, even the most careful consumers are open to attack. Oregon and Washington ranked 33rd and 22nd in identity theft complaints in 2019.1 Nationally, U.S. -
Identity Theft Glossary
Identity Theft Glossary •Account takeover: An account takeover is when a fraudster uses personal information to obtain products and services. Credit card fraud is the most rampant, but skimming and phishing are also common types of account takeovers. •Anti-virus: Anti-virus software runs continuously in the background of a computer and scans for viruses, worms and malware every time the user accesses a website or downloads anything. •Bait and switch: A bait and switch attack is when a hacker buys advertising space on a webpage and then links the advertisement to a page infected with malware. •Black hat hacker: All hackers are capable of compromising computer systems and creating malware, but black hat hackers use these skills to commit cybercrimes. •Blockchain: A blockchain is a string of time-stamped digital records shared between multiple computers. If the data in one block changes, all subsequent blocks in the blockchain reflect the alteration and become invalid. Blockchains help prevent identity theft and fraud by making it difficult to tamper with the data in a block. •Bot: Short for “robot,” a bot is an autonomous program that interacts with computer systems in a way that appears or attempts to appear human. Hackers can use bots to mine for usernames and passwords used to commit identity fraud. •Cookie theft: Cookie theft is when a cybercriminal makes copies of unencrypted session data and then uses that data to impersonate someone else. •Credential cracking: Credential cracking describes the various methods — word lists, guessing and brute-force — cybercriminals use to obtain passwords. Credential cracking threats are why it’s important to create varied and complicated passwords for all accounts. -
Security Evaluation of Multi-Factor Authentication in Comparison with the Web Authentication API
Hochschule Wismar University of Applied Sciences Technology, Business and Design Faculty of Engineering, Department EE & CS Course of Studies: IT-Security and Forensics Master’s Thesis for the Attainment of the Academic Degree Master of Engineering (M. Eng.) Security Evaluation of Multi-Factor Authentication in Comparison with the Web Authentication API Submitted by: September 30, 2019 From: Tim Brust born xx/xx/xxxx in Hamburg, Germany Matriculation number: 246565 First supervisor: Prof. Dr.-Ing. habil. Andreas Ahrens Second supervisor: Prof. Dr. rer. nat. Nils Gruschka Purpose of This Thesis The purpose of this master’s thesis is an introduction to multi-factor authentication, as well as to the conventional methods of authentication (knowledge, possession, biometrics). This introduction includes technical functionality, web usability, and potential security threats and vulnerabilities. Further, this thesis will investigate whether the Web Authentication API is suit- able as an alternative or possible supplement to existing multi-factor authentication methods. The question has to be answered to what extent the Web Authentication API can increase security and user comfort. An evaluation of the security of the Web Authentication API in comparison with other multi-factor authentication solutions plays a crucial role in this thesis. Abstract Internet users are at constant risk, given that data breaches happen nearly daily. When a breached password is re-used, it renders their whole digital identity in dan- ger. To counter these threats, the user can deploy additional security measures, e.g., multi-factor authentication. This master’s thesis introduces and compares the multi- factor authentication solutions, one-time passwords, smart cards, security keys, and the Universal Second Factor protocol with a focus on their security. -
Account Takeover Fraud How to Protect Your Customers and Business
ACCOUNT TAKEOVER FRAUD HOW TO PROTECT YOUR CUSTOMERS AND BUSINESS eBOOK Introduction Account takeover fraud (ATO) is one of the top threats to financial institutions (FIs) and their customers. An identity theft crime, account takeover comes in many different forms. In this eBook, we explain the top techniques criminals use to take control of a bank account. Fraudsters have a variety of weapons and methods of harvesting personal data and causing serious damage, which makes effective protection a challenge. The right multi-layered security approach, however, can help block account takeover fraud and protect customers at every stage of their digital journeys. This guide outlines a best practices approach to detecting and preventing account takeover fraud with proven technologies that shield users, devices, and transactions. 89% of FI executives believe ATO fraud is the most “common cause of losses in the digital channel.” AITE Group 1 ACCOUNT TAKEOVER FRAUD: HOW TO PROTECT YOUR CUSTOMERS AND BUSINESS FOLLOW US 2 ATO TECHNIQUES: DATA BREACHES Some account takeover attacks begin with fraudsters harvesting personal data. This can happen long before a fraudulent transaction takes place. Bad actors simply purchase personal data leaked as part of a previous data breach. The many recent breaches of large corporations have exposed billions of usernames, email addresses, passwords, credit card numbers, and social security numbers. With this leaked data, cybercriminals can prepare targeted phishing campaigns. They can also gain unauthorized access to accounts by using an automated attack (or in the case of less experienced fraudsters, by manually typing in combinations of credentials). If an FI’s authentication mechanisms rely on weak security measures such as static passwords, criminals will use a technique known as credential stuffing. -
2019 Payments Threats and Fraud Trends Report
2019 Payment Threats and Fraud Trends Report EPC302-19 /Version 1.0 / Date issued: 9 December 2019 © 2019 Copyright European Payments Council (EPC) AISBL: This document is public and may be copied or otherwise distributed provided attribution is made and the text is not used directly as a source of profit www.epc-cep.eu 1 / 91 Report 2019 Payment Threats and Fraud Trends EPC302-19 Version 1.0 Date issued: 9 December 2019 November 2019 Abstract This new edition of the threats trends report reflects the recent developments concerning security threats and fraud in the payments landscape over the past year. www.epc-cep.eu 2 / 91 Report 2019 Payments Threats and Fraud Trends EPC302-19 / Version 1.0 Table of Contents Executive Summary .................................................................................................................... 6 1 Document information ......................................................................................................... 8 1.1 Structure of the document ........................................................................................................ 8 1.2 References.................................................................................................................................. 8 1.3 Definitions .................................................................................................................................. 9 1.4 Abbreviations .......................................................................................................................... -
Identity Theft Glossary 2021
Identity Theft Glossary •Account takeover: An account takeover is when a fraudster uses personal information to obtain products and services. Credit card fraud is the most rampant, but skimming and phishing are also common types of account takeovers. •Anti-virus: Anti-virus software runs continuously in the background of a computer and scans for viruses, worms, and malware every time the user accesses a website or downloads anything. •Bait and switch: A bait and switch attack is when a hacker buys advertising space on a webpage and then links the advertisement to a page infected with malware. •Black hat hacker: All hackers can compromise computer systems and create malware, but black hat hackers use these skills to commit cybercrimes. •Blockchain: A blockchain is a string of time-stamped digital records shared between multiple computers. If the data in one block changes, all subsequent blocks in the blockchain reflect the alteration and become invalid. Blockchains help prevent identity theft and fraud by making it difficult to tamper with the data in a block. •Bot: Short for “robot,” a bot is an autonomous program that interacts with computer systems in a way that appears or attempts to appear human. Hackers can use bots to mine for usernames and passwords used to commit identity fraud. •Cookie theft: Cookie theft is when a cybercriminal makes copies of unencrypted session data and then uses that data to impersonate someone else. •Credential cracking: Credential cracking describes the various methods — word lists, guessing, and brute-force — cybercriminals use to obtain passwords. Credential cracking threats are why it’s crucial to create varied and complicated passwords for all accounts. -
Cryptocurrency Anti-Money Laundering Report, 2019 Q2
Cryptocurrency Anti-Money Laundering Report, 2019 Q2 CipherTrace Cryptocurrency Intelligence July 2019 Executive Summary 4 New FATF Travel Rule Presents Major Hurdle for Exchanges 5 Tech Giants Looking to Go All-In On Virtual Currencies 5 Bitcoin is King in Dark Markets and Cybercrime 6 Q2 Highlights 7 Major Trends And Developments 7 Advanced Attacks Simultaneously Takeover Account Holder and Exchange Admin Credentials 7 Advanced Persistent Threats and Blended Attacks Target Cryptocurrency Businesses 7 Coordinated Phishing and URL Hijacking Attacks Target Users and Exchanges 7 Facebook Rattles the Blockchain and Governments by Announcing its Own Global Cryptocurrency 8 Washington Wakes to Concerns Over Everything from Money Laundering to the Supremacy of the US Dollar 8 Puts Renewed Focus on Virtual Currency Regulation Globally 9 Facebook Claims Small Businesses and 1.7 Unbanked People Will Benefit 9 Multinationals Buy into the Libra Association 12 Major Exchange and Infrastructure Thefts Top $227 mil in 2019 13 Japanese Exchange BITPoint Hacked for $34 million 13 Hackers Steal $40 Million in Crypto from Binance 14 Two Israeli Brothers Steal Tens of Millions in Typosquatting Scam 14 Six Arrested in UK and Netherlands over $27M Typosquatting Scam 15 Hack Suspected as Cause of Kraken Bitcoin Flash Crash 15 $10 Million in XRP Stolen from GateHub 15 Singapore Exchange Bitrue Hacked for More than $4 Million 16 Polish Exchange Coinroom Exit Scams with Customer Funds 16 Irish Cryptocurrency Exchange Bitsane Exit Scams 246,000 Users 16 2019 the -
Darknet Cybercrime Threats to Southeast Asia 2020 Copyright © 2020, United Nations Office on Drugs and Crime (UNODC)
Darknet Cybercrime Threats to Southeast Asia 2020 Copyright © 2020, United Nations Office on Drugs and Crime (UNODC). This publication may be reproduced in whole or in part and in any form for educational or non-profit purposes without special permission from the copyright holder, provided acknowledgement of the source is made. UNODC would appreciate receiving a copy of any publication that uses this publication as a source. Disclaimer This report has not been formally edited. The contents of this publication do not necessarily reflect the views or policies of UNODC, Member States, or contributory organizations, and neither do they imply any endorsement. The designations employed and the presentation of the material in this publication do not imply the expression of any opinion whatsoever on the part of UNODC or the Secretariat of the United Nations concerning the legal status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Darknet Cybercrime Threats to Southeast Asia Foreword The United Nations Office on Drugs and response. There is an absolute need for a Crime (UNODC) is proud to present this ministerial lead on cyber affairs, in each introductory analysis of darknet-enabled country, to ensure that law enforcers receive threats against Southeast Asian countries, necessary political support to undertake the which has been made possible through most challenging operations. strong partnerships with global and regional law enforcement and justice authorities, Many criminal activities conducted over together with private industry and academia. darknets are predictable and preventable. The report was produced thanks to kind UNODC and its partners work hard to voluntary funding from the Government of address these challenges by supporting and Japan. -
Phishing with a Darknet: Imitation of Onion Services
Phishing With A Darknet: Imitation of Onion Services Frederick Barr-Smith Joss Wright Department of Computer Science Oxford Internet Institute University of Oxford University of Oxford Oxford, England Alan Turing Institute [email protected] Oxford, England [email protected] Abstract—In this work we analyse the use of malicious ferred amongst mutually untrusting users, and is thus mimicry and cloning of darknet marketplaces and other an attractive target for a variety of scams, theft, and ‘onion services’ as means for phishing, akin to tradi- fraudulent behaviour. Phishing taking place on such sites tional ‘typosquatting’ on the web. This phenomenon occurs due to the complex trust relationships in Tor’s is unlikely to be reported to law enforcement, although onion services, and particularly the complex webs of this is not to say that anonymous reports on forums do trust enabled by darknet markets and similar services. not occur on occasion. Winter et al. [67], theorised about To do so, we built a modular scraper tool to identify the potential existence of phishing onion domains based networks of maliciously cloned darknet marketplaces; on data from their experiments. in addition to other characteristics of onion services, in aggregate. The networks of phishing sites identified by Phishing on the clearnet is a well established threat [15], this scraper are then subject to clustering and analysis [29]. A particularly effective variant being that of imitating to identify the method of phishing and the networks of ownership across these sites. We present a novel sites [52] to obtain credentials or financial details from discovery mechanism for sites, means for clustering and victims. -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Investigating Large-Scale Internet Abuse Through Web Page Classification Permalink https://escholarship.org/uc/item/8jp0z4m4 Author Der, Matthew Francis Publication Date 2015 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Investigating Large-Scale Internet Abuse Through Web Page Classification A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Computer Science by Matthew F. Der Committee in charge: Professor Lawrence K. Saul, Co-Chair Professor Stefan Savage, Co-Chair Professor Geoffrey M. Voelker, Co-Chair Professor Gert Lanckriet Professor Kirill Levchenko 2015 Copyright Matthew F. Der, 2015 All rights reserved. The Dissertation of Matthew F. Der is approved and is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Co-Chair Co-Chair University of California, San Diego 2015 iii DEDICATION To my family: Kristen, Charlie, David, Bryan, Sarah, Katie, and Zach. iv EPIGRAPH Everything should be made as simple as possible, but not simpler. | Albert Einstein Sic transit gloria . glory fades. | Max Fischer v TABLE OF CONTENTS Signature Page . iii Dedication . iv Epigraph . v Table of Contents . vi List of Figures . ix List of Tables . xi Acknowledgements . xiii Vita . xviii Abstract of the Dissertation . xix Chapter 1 Introduction . 1 1.1 Contributions . 4 1.2 Organization . 6 Chapter 2 Background . 8 2.1 The Spam Ecosystem . 8 2.1.1 Spam Value Chain . 9 2.1.2 Click Trajectories Finding . 10 2.1.3 Affiliate Programs .