Characterizing Robocalls Through Audio and Metadata Analysis
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Vermont Robocall Spoofing Survey
WHO’S REALLY ON THE LINE? AN AARP VERMONT SURVEY OF ADULTS 18+ ABOUT ROBOCALLS AND SPOOFING May 2019 AARP.ORG/RESEARCH | © 2019 AARP ALL RIGHTS RESERVED DOI: https://doi.org/10.26419/res.00298.004 AARP RESEARCH Table of Contents Introduction 3 Key Findings 4 Devices Owned and Caller ID 6 Experiences with Robocalls 9 Robocall Spoofing and Scams 13 Reducing Spoofing and Robocalls 20 Summary and Implications 25 Methodology 28 Appendix 30 AARP.ORG/RESEARCH | © 2019 AARP ALL RIGHTS RESERVED AARP RESEARCH 2 Introduction Most of us are familiar with robocall technology – where computers autodial thousands of households with legitimate messages such as pre-recorded school announcements, general reminders of an upcoming scheduled event, or emergency and disaster warnings. However, robocalling also has made it easier for scammers to inexpensively reach millions of consumers and to “spoof” (i.e., disguise) the scammers’ phone numbers. Criminals will generate phone numbers that appear local and familiar to the consumer – known as “neighbor spoofing” – so they will be more likely to answer and respond. Criminal telemarketers will impersonate such entities as the IRS, popular charities, software tech companies, or police officials to entice or threaten consumers into sharing personal identification information or sending money in order to win prizes or money, pay exorbitant fines, or avoid criminal arrest or even jail time. According to the YouMail Robocall index, there were over 43.6 million robocalls placed in Vermont in 2018, more than double the number from 2016.1 The growth of illegal robocalling and spoofing has fueled an increase in telephone fraud victimization. -
Show Me the Money: Characterizing Spam-Advertised Revenue
Show Me the Money: Characterizing Spam-advertised Revenue Chris Kanich∗ Nicholas Weavery Damon McCoy∗ Tristan Halvorson∗ Christian Kreibichy Kirill Levchenko∗ Vern Paxsonyz Geoffrey M. Voelker∗ Stefan Savage∗ ∗ y Department of Computer Science and Engineering International Computer Science Institute University of California, San Diego Berkeley, CA z Computer Science Division University of California, Berkeley Abstract money at all [6]. This situation has the potential to distort Modern spam is ultimately driven by product sales: policy and investment decisions that are otherwise driven goods purchased by customers online. However, while by intuition rather than evidence. this model is easy to state in the abstract, our under- In this paper we make two contributions to improving standing of the concrete business environment—how this state of affairs using measurement-based methods to many orders, of what kind, from which customers, for estimate: how much—is poor at best. This situation is unsurpris- ing since such sellers typically operate under question- • Order volume. We describe a general technique— able legal footing, with “ground truth” data rarely avail- purchase pair—for estimating the number of orders able to the public. However, absent quantifiable empiri- received (and hence revenue) via on-line store order cal data, “guesstimates” operate unchecked and can dis- numbering. We use this approach to establish rough, tort both policy making and our choice of appropri- but well-founded, monthly order volume estimates ate interventions. In this paper, we describe two infer- for many of the leading “affiliate programs” selling ence techniques for peering inside the business opera- counterfeit pharmaceuticals and software. tions of spam-advertised enterprises: purchase pair and • Purchasing behavior. -
Spamming Botnets: Signatures and Characteristics
Spamming Botnets: Signatures and Characteristics Yinglian Xie, Fang Yu, Kannan Achan, Rina Panigrahy, Geoff Hulten+,IvanOsipkov+ Microsoft Research, Silicon Valley +Microsoft Corporation {yxie,fangyu,kachan,rina,ghulten,ivano}@microsoft.com ABSTRACT botnet infection and their associated control process [4, 17, 6], little In this paper, we focus on characterizing spamming botnets by effort has been devoted to understanding the aggregate behaviors of leveraging both spam payload and spam server traffic properties. botnets from the perspective of large email servers that are popular Towards this goal, we developed a spam signature generation frame- targets of botnet spam attacks. work called AutoRE to detect botnet-based spam emails and botnet An important goal of this paper is to perform a large scale analy- membership. AutoRE does not require pre-classified training data sis of spamming botnet characteristics and identify trends that can or white lists. Moreover, it outputs high quality regular expression benefit future botnet detection and defense mechanisms. In our signatures that can detect botnet spam with a low false positive rate. analysis, we make use of an email dataset collected from a large Using a three-month sample of emails from Hotmail, AutoRE suc- email service provider, namely, MSN Hotmail. Our study not only cessfully identified 7,721 botnet-based spam campaigns together detects botnet membership across the Internet, but also tracks the with 340,050 unique botnet host IP addresses. sending behavior and the associated email content patterns that are Our in-depth analysis of the identified botnets revealed several directly observable from an email service provider. Information interesting findings regarding the degree of email obfuscation, prop- pertaining to botnet membership can be used to prevent future ne- erties of botnet IP addresses, sending patterns, and their correlation farious activities such as phishing and DDoS attacks. -
Zambia and Spam
ZAMNET COMMUNICATION SYSTEMS LTD (ZAMBIA) Spam – The Zambian Experience Submission to ITU WSIS Thematic meeting on countering Spam By: Annabel S Kangombe – Maseko June 2004 Table of Contents 1.0 Introduction 1 1.1 What is spam? 1 1.2 The nature of Spam 1 1.3 Statistics 2 2.0 Technical view 4 2.1 Main Sources of Spam 4 2.1.1 Harvesting 4 2.1.2 Dictionary Attacks 4 2.1.3 Open Relays 4 2.1.4 Email databases 4 2.1.5 Inadequacies in the SMTP protocol 4 2.2 Effects of Spam 5 2.3 The fight against spam 5 2.3.1 Blacklists 6 2.3.2 White lists 6 2.3.3 Dial‐up Lists (DUL) 6 2.3.4 Spam filtering programs 6 2.4 Challenges of fighting spam 7 3.0 Legal Framework 9 3.1 Laws against spam in Zambia 9 3.2 International Regulations or Laws 9 3.2.1 US State Laws 9 3.2.2 The USA’s CAN‐SPAM Act 10 4.0 The Way forward 11 4.1 A global effort 11 4.2 Collaboration between ISPs 11 4.3 Strengthening Anti‐spam regulation 11 4.4 User education 11 4.5 Source authentication 12 4.6 Rewriting the Internet Mail Exchange protocol 12 1.0 Introduction I get to the office in the morning, walk to my desk and switch on the computer. One of the first things I do after checking the status of the network devices is to check my email. -
Email Phishing for IT Providers How Phishing Emails Have Changed and How to Protect Your IT Clients
Email Phishing for IT Providers How phishing emails have changed and how to protect your IT clients 1 © 2016 Calyptix Security Corporation. All rights reserved. I [email protected] I (800) 650 – 8930 (800) 650-8930 I [email protected] Contents Introduction ............................................................................................ 2 Phishing overview .................................................................................. 3 Trends in phishing emails ...................................................................... 6 Email phishing tactics .......................................................................... 11 Steps for MSP & VARS .......................................................................... 24 Advice for your clients .......................................................................... 29 Sources .................................................................................................. 35 1 © 2016 Calyptix Security Corporation. All rights reserved. I [email protected] I (800) 650 – 8930 Introduction There are only so many ways to break into a bank. You can march through the door. You can climb through a window. You can tunnel through the floor. There is the service entrance, the employee entrance, and access on the roof. Criminals who want to rob a bank will probably use an open route – such as a side door. It’s easier than breaking down a wall. Criminals who want to break into your network face a similar challenge. They need to enter. They can look for a weakness in your -
Towards Mitigating Unwanted Calls in Voice Over IP
FACULDADE DE ENGENHARIA DA UNIVERSIDADE DO PORTO Towards Mitigating Unwanted Calls in Voice Over IP Muhammad Ajmal Azad Programa Doutoral em Engenharia Electrotécnica e de Computadores Supervisor: Ricardo Santos Morla June 2016 c Muhammad Ajmal Azad, 2016 Towards Mitigating Unwanted Calls in Voice Over IP Muhammad Ajmal Azad Programa Doutoral em Engenharia Electrotécnica e de Computadores June 2016 I Dedicate This Thesis To My Parents and Wife For their endless love, support and encouragement. i Acknowledgments First and foremost, I would like to express my special gratitude and thanks to my advisor, Professor Dr. Ricardo Santos Morla for his continuous support, supervision and time. His suggestions, advice and criticism on my work have helped me a lot from finding a problem, design a solution and analyzing the solution. I am forever grateful to Dr. Morla for mentoring and helping me throughout the course of my doctoral research.. I would like to thanks my friends Dr. Arif Ur Rahman and Dr. Farhan Riaz for helping in understanding various aspects of research at the start of my Ph.D, Asif Mohammad for helping me in coding with Java, and Bilal Hussain for constructive debate other than academic research and continuous encouragements in the last three years. Of course acknowledgments are incomplete without thanking my parents, family members and loved ones. I am very thankful to my parents for spending on my education despite limited resources. They taught me about hard work, make me to study whenever I run away, encourage me to achieve the goals, self-respect and always encourage me for doing what i want. -
CUB Guide to Fighting Robocalls
CitizensUtilityBoard.org 1-800-669-5556 Guide to Fighting Robocalls February 2021 The latest news on the robocall fi ght Robocalls are prerecorded messages from computer-generat- ed dialers, and Illinois is one of the nation’s hardest hit states. In early 2021, for example, the state received more than 153 million robocalls (about 57 per second) in the span of just one month. That ranked Illinois eighth in the country for these calls, according to the robocall-blocking fi rm YouMail. While there are helpful robocalls (alerting you to school closings or when a prescription is ready), YouMail estimates about 42 percent of the calls in Illinois were scams and another 22 percent were simply marketing pitches. Unwanted robocalls are annoying, and costly. The Federal Com- munications Commission (FCC) put the price tag at $3 billion a year just from lost time, not even counting any fraud. TechRe- One in 10 Americans public put the total annual loss for consumers at $9.5 billion. are scammed each year, While policymakers are fi nally starting to act against illegal robo- calls, don’t wait for federal law to catch up. Use the simple tips in resulting in an annual loss of this guide to protect yourself from unwanted calls. The law The Telephone Robocall Abuse Criminal Enforcement and $9.5 billion Deterrence (TRACED) Act became federal law in 2019. The act increases penalties and requires phone companies to validate Source: TechRepublic, calls before they reach you. This is to combat “spoofi ng,” October 2019 when a robocaller uses your area code and/or prefi x to ap- pear as if someone locally—maybe a friend or neighbor—is Note: In December 2020, the FCC ordered that organiza- trying to reach you. -
Enisa Etl2020
EN From January 2019 to April 2020 Spam ENISA Threat Landscape Overview The first spam message was sent in 1978 by a marketing manager to 393 people via ARPANET. It was an advertising campaign for a new product from the company he worked for, the Digital Equipment Corporation. For those first 393 spammed people it was as annoying as it would be today, regardless of the novelty of the idea.1 Receiving spam is an inconvenience, but it may also create an opportunity for a malicious actor to steal personal information or install malware.2 Spam consists of sending unsolicited messages in bulk. It is considered a cybersecurity threat when used as an attack vector to distribute or enable other threats. Another noteworthy aspect is how spam may sometimes be confused or misclassified as a phishing campaign. The main difference between the two is the fact that phishing is a targeted action using social engineering tactics, actively aiming to steal users’ data. In contrast spam is a tactic for sending unsolicited e-mails to a bulk list. Phishing campaigns can use spam tactics to distribute messages while spam can link the user to a compromised website to install malware and steal personal data. Spam campaigns, during these last 41 years have taken advantage of many popular global social and sports events such as UEFA Europa League Final, US Open, among others. Even so, nothing compared with the spam activity seen this year with the COVID-19 pandemic.8 2 __Findings 85%_of all e-mails exchanged in April 2019 were spam, a 15-month high1 14_million -
Locating Spambots on the Internet
BOTMAGNIFIER: Locating Spambots on the Internet Gianluca Stringhinix, Thorsten Holzz, Brett Stone-Grossx, Christopher Kruegelx, and Giovanni Vignax xUniversity of California, Santa Barbara z Ruhr-University Bochum fgianluca,bstone,chris,[email protected] [email protected] Abstract the world-wide email traffic [20], and a lucrative busi- Unsolicited bulk email (spam) is used by cyber- ness has emerged around them [12]. The content of spam criminals to lure users into scams and to spread mal- emails lures users into scams, promises to sell cheap ware infections. Most of these unwanted messages are goods and pharmaceutical products, and spreads mali- sent by spam botnets, which are networks of compro- cious software by distributing links to websites that per- mised machines under the control of a single (malicious) form drive-by download attacks [24]. entity. Often, these botnets are rented out to particular Recent studies indicate that, nowadays, about 85% of groups to carry out spam campaigns, in which similar the overall spam traffic on the Internet is sent with the mail messages are sent to a large group of Internet users help of spamming botnets [20,36]. Botnets are networks in a short amount of time. Tracking the bot-infected hosts of compromised machines under the direction of a sin- that participate in spam campaigns, and attributing these gle entity, the so-called botmaster. While different bot- hosts to spam botnets that are active on the Internet, are nets serve different, nefarious goals, one important pur- challenging but important tasks. In particular, this infor- pose of botnets is the distribution of spam emails. -
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. -
Technical Means to Combat Spam in the Voip Service
Section Four Technical Means to Combat Spam in the VoIP Service Spam refers in general to any unsolicited communication. Spam will also become one of the serious problems for multimedia communication in the near future. Spam in multimedia communication is referred to as SIP spam or SPIT (Spam over Internet Telephony), where SIP is used to manage the session between two end users. In this paper, the types of SIP spam are introduced and various pragmatic solutions applicable to combat the SIP spams are described including content filtering, white list, black list, and the reputation system. Finally, the detailed operation and principles for the authenticated identity in SIP header, which is a prerequisite for the solutions above, are also described. The possible solutions to combat the SIP spasm have been listed and the background technology to those solutions, an authenticated identity between the domains, is also introduced. Heung Youl Youm (PhD) Professor, Soonchunhyang University, South Korea Rapporteur, Q.9/SG17, ITU-T [email protected] 1 Introduction IP telephony is known as a technology that allows standard telephone voice signals to be compressed into data packets for transmission over the Internet or other IP network. The protocols used in carrying the voice signals over the IP networks are commonly referred to as Voice over IP (VoIP). The spam problem in email and instant messaging (IM) makes the email or the IM users to trust less of these tools and consequently reduce their usage. While the security mechanisms for the IP telephony are being studied, the spam problem in VoIP has not been studied extensively yet. -
The History of Spam Timeline of Events and Notable Occurrences in the Advance of Spam
The History of Spam Timeline of events and notable occurrences in the advance of spam July 2014 The History of Spam The growth of unsolicited e-mail imposes increasing costs on networks and causes considerable aggravation on the part of e-mail recipients. The history of spam is one that is closely tied to the history and evolution of the Internet itself. 1971 RFC 733: Mail Specifications 1978 First email spam was sent out to users of ARPANET – it was an ad for a presentation by Digital Equipment Corporation (DEC) 1984 Domain Name System (DNS) introduced 1986 Eric Thomas develops first commercial mailing list program called LISTSERV 1988 First know email Chain letter sent 1988 “Spamming” starts as prank by participants in multi-user dungeon games by MUDers (Multi User Dungeon) to fill rivals accounts with unwanted electronic junk mail. 1990 ARPANET terminates 1993 First use of the term spam was for a post from USENET by Richard Depew to news.admin.policy, which was the result of a bug in a software program that caused 200 messages to go out to the news group. The term “spam” itself was thought to have come from the spam skit by Monty Python's Flying Circus. In the sketch, a restaurant serves all its food with lots of spam, and the waitress repeats the word several times in describing how much spam is in the items. When she does this, a group of Vikings in the corner start a song: "Spam, spam, spam, spam, spam, spam, spam, spam, lovely spam! Wonderful spam!" Until told to shut up.