Scams, Cons and Frauds What Are They up to Now?
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This Booklet Is Published by the South Pasadena Police Department Crime Prevention Unit 1422 Mission Street South Pasadena, CA 91030 626-403-7270
This booklet is published by the South Pasadena Police Department Crime Prevention Unit 1422 Mission Street South Pasadena, CA 91030 626-403-7270 www.southpasadenaca.gov/police Scams and Cons INTRODUCTION Most people think they are too smart to A Residents Guide to Prevention fall for a scam or a con. However, according to the Federal Trade Commission in 2011, scam and con Table of Contents artists were able to swindle over 25 million US adults. Introduction 1 Defining Scams and Cons 2 Scam and con artists don’t discriminate, regardless of race or age. They History 2 look for the old and young, male and female. Seniors are often targeted because they are usually lonely and compassionate. Scam and con artists Myths 3 use this to their advantage by trying to befriend them. They offer promises Types of Scams and Cons of quick wealth to seniors who are on a fixed income and are out to steal - Home Repair 4 their savings. People in their 20s are more often victims to scams than - Fake Accidents 5 seniors, but lose less money than seniors. - Distraction Thefts - Residential Burglary 6 Unlike other types of crimes, scams and cons are non-violent crimes and - While Shopping 6 involve the suspect being friendly. Because scam and con artists work by - Foreign Lottery 8 deception, they have excellent communication skills to try to gain one’s - Advance Fee (Nigerian Letter) 9 confidence. - Sweepstakes 10 This booklet was developed to help residents know the various types of - Fake Charities 11 scams and cons that are being used today. -
Gangs Beyond Borders
Gangs Beyond Borders California and the Fight Against Transnational Organized Crime March 2014 Kamala D. Harris California Attorney General Gangs Beyond Borders California and the Fight Against Transnational Organized Crime March 2014 Kamala D. Harris California Attorney General Message from the Attorney General California is a leader for international commerce. In close proximity to Latin America and Canada, we are a state laced with large ports and a vast interstate system. California is also leading the way in economic development and job creation. And the Golden State is home to the digital and innovation economies reshaping how the world does business. But these same features that benefit California also make the state a coveted place of operation for transnational criminal organizations. As an international hub, more narcotics, weapons and humans are trafficked in and out of California than any other state. The size and strength of California’s economy make our businesses, financial institutions and communities lucrative targets for transnational criminal activity. Finally, transnational criminal organizations are relying increasingly on cybercrime as a source of funds – which means they are frequently targeting, and illicitly using, the digital tools and content developed in our state. The term “transnational organized crime” refers to a range of criminal activity perpetrated by groups whose origins often lie outside of the United States but whose operations cross international borders. Whether it is a drug cartel originating from Mexico or a cybercrime group out of Eastern Europe, the operations of transnational criminal organizations threaten the safety, health and economic wellbeing of all Americans, and particularly Californians. -
Address Munging: the Practice of Disguising, Or Munging, an E-Mail Address to Prevent It Being Automatically Collected and Used
Address Munging: the practice of disguising, or munging, an e-mail address to prevent it being automatically collected and used as a target for people and organizations that send unsolicited bulk e-mail address. Adware: or advertising-supported software is any software package which automatically plays, displays, or downloads advertising material to a computer after the software is installed on it or while the application is being used. Some types of adware are also spyware and can be classified as privacy-invasive software. Adware is software designed to force pre-chosen ads to display on your system. Some adware is designed to be malicious and will pop up ads with such speed and frequency that they seem to be taking over everything, slowing down your system and tying up all of your system resources. When adware is coupled with spyware, it can be a frustrating ride, to say the least. Backdoor: in a computer system (or cryptosystem or algorithm) is a method of bypassing normal authentication, securing remote access to a computer, obtaining access to plaintext, and so on, while attempting to remain undetected. The backdoor may take the form of an installed program (e.g., Back Orifice), or could be a modification to an existing program or hardware device. A back door is a point of entry that circumvents normal security and can be used by a cracker to access a network or computer system. Usually back doors are created by system developers as shortcuts to speed access through security during the development stage and then are overlooked and never properly removed during final implementation. -
Protect Yourself. Don't Be a Victim of Fraud
ROCIC • REGIONAL ORGANIZED CRIME INFORMATION CENTER • www.riss.net Tips to Protect Yourself ►Don’t Be A Victim! ROCIC • REGIONAL ORGANIZED CRIME INFORMATION CENTER • www.riss.net Protect Yourself • Don’t Be a Victim of Fraud 1 Table of Contents Con Artists and FlimFlams • 3 Bank Examiner • Broken Bottle Scam • Caller ID or Spoofing • C.O.D. Scam • Diversion Burglary • Door-to-Door Solicitor • Fortune Telling Fraud • Handkerchief Switch • Jury Duty Scam • Latin Lotto • Lottery Scams/Foreign Lottery • Lotteries • Pickpocket Diver- sion • Pigeon Drop • Police Follow-Up Scam • Recovery Rooms • Rock in a Box • Sweet- heart Swindle Con • Three-Card-Monte • Toner Rooms • Truck Stop Three-Card-Monte • Yellow Page Advertising Scheme Business and Investment Fraud • 17 Business Fraud • Telemarketing Fraud • Nigerian Letter or 419 Fraud • Advance Fee Schemes • Fake Check Scam • Redemption/Strawman/Bond Fraud • Letter of Credit Fraud • Prime Bank Note Fraud • Ponzi Schemes • Pyramid Schemes • Market Manipula- tion or Pump and Dump Fraud Identity Theft • 29 Fraud Against Senior Citizens • 30 Counterfeit Prescription Fraud • Funeral and Cemetery Fraud • Fraudulent Anti-Aging Products • Reverse Mortgage Fraud • Long Term Care Insurance Fraud Telemarketing Fraud • 36 Automobile Insurance Fraud • 42 Medical and Insurance Fraud • 46 Medical Equipment Fraud • Medicare Fraud • Dental • Medical Identity Scams • False Medical Claims • Discount Cards for Medical Insurance • Obamacare Scams • Medicare Scams • Workers Compensation • Stolen Premiums • Crooked Doctors and Lawyers Travel Industry Fraud • 57 Social Media Fraud • 61 Computer Fraud • 63 Internet Fraud • 65 Internet Auction Fraud • Internet Non-Delivery of Merchandise • Credit Card Fraud • Internet Investment Fraud • Preventing Online Fraud Home Improvement Fraud • 71 REGIONAL ORGANIZED CRIME INFORMATION CENTER • A RISS Center Protect Yourself • Don’t Be a Victim of Fraud 2 Sources of Information Many of the narratives for electronic or Internet fraud came from the FBI website at www.fbi.gov. -
RAO BULLETIN 1 October 2019
RAO BULLETIN 1 October 2019 PDF Edition THIS RETIREE ACTIVITIES OFFICE BULLETIN CONTAINS THE FOLLOWING ARTICLES Pg Article Subject . * DOD * . 04 == NDAA 2020 [21] ---- (OCT 1 Timeline Not Likely) 05 == NDAA 2020 [22] ---- (Military Coalition Letter to Congress) 06== Air Force Standing ---- (Eroding Air Superiority Advantage) 06 == Trump Border Wall [02] ---- (Pentagon | $2.5B in Contracts Finalized) 07 == Afghan War ---- (How Americans Are Split Over Whether It Was a Mistake) 08 == Arlington National Cemetery [82] ---- (New Burial Eligibility Criteria Proposed) 09 == DOD Pain Rating [02] ---- (New Scale for Assessing Patients' Misery) 10 == POW/MIA Recoveries & Burials ---- (Reported 16 thru 30 SEP 2019 | Fourteen) . * VA * . 12 == VA National Suicide Prevention Report ---- (2019 Report Released) 13 == VA Flu Shots [06] ---- (Two Options to Get Your Shot) 14 == VA Debt [07] ---- (Collection Systems Leave Vets Confused, Frustrated) 15 == VA Rating Decisions ---- (Initial, Deferred, & Confirmed and Continued) 16 == VA Disability Ratings [04] --- (Protected) 16 == VA Hospital Harassments/Assaults ---- (Troubling Series Occurring at VA Facilities) 18 == VA Reexamination Notice ---- (How the VA Can Reduce Disability Benefits) 19 == VA Caregiver Program [58] ---- (Support Services Offered to Caregivers) 1 | P a g e 20 == VA Caregiver Program [59] ---- (Bogged Down by Bad Data, IT Issues, GAO Finds) 21 == VA Caregiver Program [60] ---- (Expanded to All vice Just Post 911 Vets) 22 == Emergency Medical Bill Claims [06] ---- (How Will VA Comply -
Employee Fraud Detection Under Real World Conditions
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2010 Employee fraud detection under real world conditions Luell, J Abstract: Employee fraud in financial institutions is a considerable monetary and reputational risk. Stud- ies state that this type of fraud is typically detected by a tip, in the worst case from affected customers, which is fatal in terms of reputation. Consequently, there is a high motivation to improve analytic de- tection. We analyze the problem of client advisor fraud in a major financial institution and find that it differs substantially from other types of fraud. However, internal fraud at the employee level receives little attention in research. In this thesis, we provide an overview of fraud detection research with the focus on implicit assumptions and applicability. We propose a decision framework to find adequate fraud detection approaches for real world problems based on a number of defined characteristics. By applying the decision framework to the problem setting we met at Alphafin the chosen approach is motivated. The proposed system consists of a detection component and a visualization component. A number of imple- mentations for the detection component with a focus on tempo-relational pattern matching is discussed. The visualization component, which was converted to productive software at Alphafin in the course of the collaboration, is introduced. On the basis of three case studies we demonstrate the potential of the proposed system and discuss findings and possible extensions for further refinements. Posted at the Zurich Open Repository and Archive, University of Zurich ZORA URL: https://doi.org/10.5167/uzh-44863 Dissertation Originally published at: Luell, J. -
Investment Swindles and Con Schemes I. Introduction
INVESTMENT SWINDLES AND CON SCHEMES TABLE OF CONTENTS I. INTRODUCTION ........................................................................................................................................... 1 II. INVESTMENT SWINDLES AND CON SCHEMES OVERVIEW Who Are the Perpetrators and Victims of These Schemes? .............................................................................. 3 Why Do the Perpetrators Commit These Con Schemes? .................................................................................. 3 Why Do Consumers Become Victims to These Schemes? ................................................................................ 4 What Are the Red Flags That Characterize These Con Schemes? .................................................................... 4 How Are These Con Schemes Executed? ............................................................................................................. 5 Effects on Consumers .............................................................................................................................................. 6 Review Questions ..................................................................................................................................................... 7 III. INVESTMENT SCHEMES Introduction ............................................................................................................................................................... 8 Bonds ...................................................................................................................................................................... -
Latin Derivatives Dictionary
Dedication: 3/15/05 I dedicate this collection to my friends Orville and Evelyn Brynelson and my parents George and Marion Greenwald. I especially thank James Steckel, Barbara Zbikowski, Gustavo Betancourt, and Joshua Ellis, colleagues and computer experts extraordinaire, for their invaluable assistance. Kathy Hart, MUHS librarian, was most helpful in suggesting sources. I further thank Gaylan DuBose, Ed Long, Hugh Himwich, Susan Schearer, Gardy Warren, and Kaye Warren for their encouragement and advice. My former students and now Classics professors Daniel Curley and Anthony Hollingsworth also deserve mention for their advice, assistance, and friendship. My student Michael Kocorowski encouraged and provoked me into beginning this dictionary. Certamen players Michael Fleisch, James Ruel, Jeff Tudor, and Ryan Thom were inspirations. Sue Smith provided advice. James Radtke, James Beaudoin, Richard Hallberg, Sylvester Kreilein, and James Wilkinson assisted with words from modern foreign languages. Without the advice of these and many others this dictionary could not have been compiled. Lastly I thank all my colleagues and students at Marquette University High School who have made my teaching career a joy. Basic sources: American College Dictionary (ACD) American Heritage Dictionary of the English Language (AHD) Oxford Dictionary of English Etymology (ODEE) Oxford English Dictionary (OCD) Webster’s International Dictionary (eds. 2, 3) (W2, W3) Liddell and Scott (LS) Lewis and Short (LS) Oxford Latin Dictionary (OLD) Schaffer: Greek Derivative Dictionary, Latin Derivative Dictionary In addition many other sources were consulted; numerous etymology texts and readers were helpful. Zeno’s Word Frequency guide assisted in determining the relative importance of words. However, all judgments (and errors) are finally mine. -
Phone and Internet Scams
KEEPING TENNESSEE SENIORS SAFE WHAT YOU NEED TO KNOW ABOUT PHONE AND INTERNET SCAMS State of Tennessee Contact (800) 342-8385 Office of the Attorney General & Reporter www.tn.gov/commerce/section/consumer-affairs cammers use the internet or telephone to trick millions of Speople every year into sending money or giving out personal information. Scammers can be polite and charming. They may say they work for a company that you recognize. They may know your name or certain things about you and make you feel special. They promise things like lottery winnings, prizes, friendship, or romance. But they don’t keep these promises. Are you an older adult? Do you have savings? Do you live alone? Then be on the lookout for scammers. The Tennessee Attorney General’s Office wants seniors, their families, and caretakers to know about common phone and internet scams, how to stop them, and how to get help and report them. HOW DOES A PHONE OR INTERNET SCAM WORK? Scammers may offer prizes, products, or services. They want you to say “yes” quickly. They say you must act right away. They may even try to scare you by saying you could be taken to court or to jail. Look out for statements like these: 2 • You’ve been specially selected for our offer. • This is a free trial offer. • You’ll get a prize if you buy our product. • You’ve won money in the lottery. • Don’t tell anyone that you’ve won. • You have to pay us now to receive our special offer. -
The Implications of Economic Cybercrime for Policing
The Implications of Economic Cybercrime for Policing RESEARCH REPORT CITY OF LONDON CORPORATION OCTOBER 2015 The Implications of Economic Cybercrime for Policing RESEARCH REPORT CITY OF LONDON CORPORATION OCTOBER 2015 www.cityoflondon.gov.uk/economicresearch The implications of economic cybercrime for policing is published by the City of London Corporation. The lead author of this report is Cardiff University. This report is intended as a basis for discussion only. While every effort has been made to ensure the accuracy and completeness of the material in this report, the lead author, Cardiff University, and the City of London Corporation give no warranty in that regard and accept no liability for any loss or damage incurred through the use of, or reliance upon, this report or the information contained herein. October 2015 © City of London Corporation PO Box 270 Guildhall London EC2P 2EJ www.cityoflondon.gov.uk/business/researchpublications Authors This report was prepared for the City of London Corporation by Cardiff University. Dr Michael Levi, Professor of Criminology, School of Social Sciences, Cardiff University (lead author) Mr Alan Doig, Visiting Professor, Newcastle Business School, Northumbria University Mr Rajeev Gundur, School of Social Sciences, Cardiff University Dr David Wall, Professor of Criminology, School of Law, Leeds University Dr Matthew Williams, Reader in Computational Criminology, School of Social Sciences, Cardiff University Acknowledgements Many people have given their time to this project, especially in the City of London Police (not least former Commander Stephen Head), but also in the National Crime Agency, EC3 at Europol, Police Scotland and in the ‘family of policing’ around Great Britain, which includes Trading Standards officers, Get Safe Online, and cyber security firms in the private sector, as well as the Intellectual Property Office and private sector anti-counterfeiting bodies. -
Preventing Elder Financial Exploitation
PREVENTING ELDER FINANCIAL EXPLOITATION EMPLOYEE TRAINING MANUAL FOR FINANCIAL INSTITUTIONS AN INITIATIVE OF: Office of Consumer Affairs & Business Regulation Executive Office of Elder Affairs Division of Banks 2017 IN COLLABORATION WITH: Office of the Attorney General Massachusetts Bankers Association Cooperative Credit Union Association The Commonwealth of Massachusetts Charles D. Baker, Governor Karyn E. Polito, Lieutenant Governor CONTENTS SECTION I: OVERVIEW 3 o History of Preventing Elder Financial Exploitation Program 3 o Defining Elder Financial Exploitation 3 o Protecting Elders from Financial Exploitation 4 o Benefits to Financial Institutions 5 o Reporting and Investigation Protocol 6 o Commitment to Prevention through Education 6 o How the Project Works 7 SECTION II: HOW TO RECOGNIZE FINANCIAL EXPLOITATION 8 o Defining Financial Exploitation 8 o Types of Financial Exploitation 10 o Wrongdoer Is Known 11 o Wrongdoer Is Unknown 14 o Warning Signs 19 SECTION III: HOW TO RESPOND TO FINANCIAL EXPLOITATION 22 o Importance of the Perpetrator-Victim Relationship 23 o Internal Response – Eight Action Steps 23 o Talking with Older Customers 26 SECTION IV: HOW TO REPORT FINANCIAL EXPLOITATION 28 o Process for Reporting 28 o Legality of Reporting 36 o Investigation by Protective Services Agency 38 o Reporting Scam Artist Exploitation 40 SECTION V: HOW TO PREVENT FINANCIAL EXPLOITATION 42 o Financial Institution Participation in Preventing Exploitation 43 o Training as Part of Prevention 47 o Preventative Measures for All Older Persons -
The Scope of the Problem an Overview of Fraud Prevalence Measurement
THE SCOPE OF THE PROBLEM AN OVERVIEW OF FRAUD PREVALENCE MEASUREMENT Martha Deevy Michaela Beals 2013 fraudresearchcenter.org LETTER FROM THE DIRECTOR Dear Colleagues, Launched in 2011, the Financial Fraud Research Center (FFRC) is a collaboration between the Stanford Center on Longevity and the FINRA Investor Education Foundation. This initiative grew out of a meeting of experts who gathered at the Stanford Center on Longevity to discuss the devastating impact of financial fraud. Acknowledging that the field could benefit from greater collaboration, the group was interdisciplinary – with representation from academia, regulatory agencies, practitioners, and policymakers. The Financial Fraud Research Center uses a three-pronged approach to advance the fight against financial fraud: • We consolidate research and information in accessible language. • We connect research to practice through events, publications, and other initiatives. • We catalyze further research through seed funding. The focus of the FFRC is individual consumer victimization. Measuring and preventing fraud that targets organizations or governments (such as embezzlement, corruption, and tax evasion) is the express purpose of several other organizations. Our resources are dedicated to understanding, detecting, and preventing consumer-targeted scams: what we term “consumer financial fraud,” defined below. a misrepresentation or concealment of some fact material to a transaction of Fraud goods, services, or other benefits that is made with knowledge of its falsity, non- existence, or misrepresentation and with the intent to deceive another and that is reasonably relied upon by the other who is injured thereby (Titus et al., 1995). for Monetary gain Non-monetary gain Voting fraud Marriage fraud Immigration fraud inflicted upon Individuals Groups Government Insurance fraud Tax fraud Consumer Fraud Employee fraud Welfare fraud Stamp fraud Medicare fraud In 2012 we released the Center’s initial survey document, Scams, Schemes, and Swindles: A Review of Consumer Financial Fraud Research.