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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Methods and Means of Identifying Fraudulent Websites</article-title>
      </title-group>
      <contrib-group>
        <aff id="aff0">
          <label>0</label>
          <institution>LvivPolytechnic National University</institution>
          ,
          <addr-line>Lviv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>University Professor of Warsaw University of Technology</institution>
          ,
          <country country="PL">Poland</country>
        </aff>
      </contrib-group>
      <fpage>0000</fpage>
      <lpage>0002</lpage>
      <abstract>
        <p>The present article deals with the basic methods and means of identifying fraudulent websites. The activity of scammers was analyzed: methods and means of attracting users to visit illegal websites and provide their personal, compromising or financial information. The statistics of the negative activity of fraudsters on the use of personal information of users and the total cost of the damage caused have been investigated. Possible harmful consequences of providing personal information to fraudulent sites are described. The methods of self-identification of sites that can engage in fraudulent or illegal activity are presented. A variety of online resources to help identify fraudulent or suspicious sites are considered. The article shows the effectiveness of avoiding fraud on the Internet using methods of check the databases of fraudulent websites and online fraudulent website verification services. The efficiency of using the methods of visual identification and analysis of the site and the efficiency of combining these methods are also shown.</p>
      </abstract>
      <kwd-group>
        <kwd>Fraudulent Websites</kwd>
        <kwd>Identification of Fraudsters</kwd>
        <kwd>illegal site</kwd>
        <kwd>Identifying Methods</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>One of the major changes that the business world is experiencing now (especially
during the quarantine period) is the progressive development and introduction of
ecommerce. Given the rapid development of web and internet technology along with
ecommerce, they are increasing the volume fraudulent online services.</p>
      <p>The overwhelming majority of Ukrainian consumers are just starting to get
acquainted with the features of e-commerce and it is not always successful. The younger
generation is making online purchases unconditionally since they are used to «living
there». The older generation is too cautious and often afraid to freely use all the
benefits of the Internet. There are, however, a fraction of users who are fast paced,
reasonably and practically fit for financial activities online. The purpose of this article is to
increase the number of the latter by protecting consumers of Internet services from
social engineering.</p>
      <p>
        Social engineering, or the luring of user data by criminal means, based on the basic
human weaknesses, trust, fear and haste. [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]
2
      </p>
    </sec>
    <sec id="sec-2">
      <title>Related works</title>
      <p>
        Asha S. Manek, P. Deepa Shenoy, M. Chandra Mohan, K. R. Venugopal in their work
analyze the problem of online shopping platform. Users on the Web sell and buy
goods in e-store, active use online banking sphere and often give review about their
online shopping experience. Often people deliberately give false feedback with
malicious intent to promote fraudulent schemes and distribute fraudulent online business.
It is not always necessary to rely on feedback from people on WEB, although for
many it is an important component of decision-making. Scientists in their work
propose a new method Bayesian logistic regression classifier (BLRFier) that detects
fraudulent and fishing websites by analysing user reviews for online shopping
websites. They have built dataset by crawling reviews of truthful and fraudulent
eshopping websites to apply supervised learning techniques. Experimental evaluation
of BLRFier model reach 100% accuracy meaning the effectiveness of this approach
for real-life use. [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobayashi in
their research introduce HumanBoost, special an approach that aims at improving the
correctness of detecting phishing sites by utilizing users’ past trust decisions (PTDs).
When a text forms of website asks for fill personal information, the user must make a
decision about trusting to this site. The researchers in their article suppose that a
database of user PTDs would be transformed into a binary vector, representing
phishing or not-phishing, and the binary vector can be used for detecting phishing
websites, like the existing heuristics For pilot investigate, in November 2007,
scientists invited 10 members and conducted a topic experiment. The members of
experiment browsed fourteen simulated fraudulent sites and six rightful sites and
judged whether each of the site appeared to be a phishing one. Participants’ trust
decisions used as a new heuristic and let AdaBoost incorporate it into eight existing
heuristics. The results show that the average error rate for HumanBoost was 13.4%,
whereas for participants it was 19.0% and for AdaBoost 20.0%. Scientists also
managed two follow-ups investigate in 2010, observed that the average error rate for
HumanBoost was below the others. In the end, they conclude that PTDs are available
as new heuristics, and HumanBoost has the potential to improve detection accuracy
fraudulent websites for user of Internet. [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]
      </p>
      <p>
        Daisuke Miyamoto, Toshiyuki Miyachi, Yuzo Taenaka, Hiroaki Hazeyama in their
scientific works developed PhishCage, an experimental infrastructure for phishing
identifying systems. Because of its short-term existence of fraudulent sites is difficult
doing comparison of effectiveness the detection systems. Basic idea of scientific work
is developing a tested in which phishing sites can be browsed as if they existed
realistically. According to researcher’s inspection for phishing detection systems,
article defines the requirements for the phishing identifying systems, and designs
PhishCage to according to these requirements. The experiment of PhishCage
demonstrates designing algorithm for 121 fraudulent sites into the emulated Internet
topology. Researchers confirm that phishing detection systems can obtain the realistic
IP address and autonomous system number of the phishing sites in PhishCage, and
few modifications enable the websites to work as if they are in the real Internet. Also,
they analyzed the limitation of PhishCage, and discuss the expedience of emulation
technique. [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]
3
      </p>
    </sec>
    <sec id="sec-3">
      <title>Identification of fraudulent sites</title>
      <p>
        According to the Ukrainian Unified Interbank Association (UIA) of all fraudulent
activities, 65% account for the use of the Internet and social engineering (see Fig. 1).
In the case of ATM fraud, banks sometimes compensate for losses, if they can be
confirmed by facts. But in social engineering there are no grounds for compensation,
because the client voluntarily discloses personal information or transfers money.
Some initiative banks may block or require additional confirmation of funds transfer
to accounts with suspicious status. But if the client has confirmed and completed the
transaction, it will be difficult to return the money. At this time, the return is possible
only if the fact of the crime has been acknowledged by the court. [
        <xref ref-type="bibr" rid="ref6 ref7">6, 7</xref>
        ]
That is why it is advisable to correctly identify whether a fraudulent transaction is
taking place. The basic schemes of work of fraudulent sites are divided into copying /
cloning of official sites and creation of sites with short term of existence (see Fig. 2).
      </p>
      <p>Also, it is worth mentioning the methods of attracting customers to fraudulent sites.
For this the fraudsters use all possible means. They include a variety of mailings
(email, SMS, social networks, messengers ...) and advertising on various systems and
sites, as well as printed flyers and even advertising on billboards. It is worth
remembering how you got on a site, because clicking on a link — the easiest way, but not
always the safest.</p>
      <p>Global informatization has also made possible to make fast payments via the
Internet, make purchases, study and work online. About one million websites are created
every day in the world. Among them, about 25% intended to deceive users to get their
money or personal information (bank card numbers, usernames and passwords of
accounts, compromising personal information for future blackmail).</p>
      <p>The online environment is filled with sites that offer easy money, cheap online
courses, incredible winnings, and other easy-to-enrich methods. According to
statistics, about a third of such sites are fraudulent. Every half a minute on the Internet
there is a new website which is designed for phishing money from its users. Fraud is
the unlawful enrichment of site owners or the dishonest use of bank, passport or other
personal information.
The main method of fraudulent schemes is to deceive users on the websites of
giveaways or lotteries and online job offers. According to statistics compiled by Internet
users, banks, their customers and the cyber police department, they account for most
fraud cases. The fake online stores and study material suggestions are next in the
ranking. A large share of fraudulent websites is those that offer to invest money in a
business that should generate high profits (cryptocurrency, stocks and bonds, valuable
materials, alternative fuel, etc.). Websites that offer poll money and have paid
registration in most cases are also deceptive. In the post-Soviet space, another widely
spread scheme for fraud is the offer of gambling. Quick loans on the Internet offer to
pay a fee for the provision of a loan, but in the end, they do not provide any funds to
their customers, receiving their money and bank data. Some sites promise users to pay
compensation for medical expenses, subsidies, social benefits or tax payments. Such
actions are aimed at obtaining passport and bank data for further enrichment of
fraudsters. One type of online fraud is phishing. Under false pretenses invented by
cybercriminals, individuals or entire organizations are forced to disclose incriminating and
personal information. Often, this method of fraud is called "spearfishing" or phishing
attacks. Data Breach and Incident Response (DBIR) in its report published the results
of research that phishing was the main vector of attacks in 32% of all data leaks. Most
often, this is in the form of emails with offers to confirm the registration of the
account and a link to the site, which completely replicates the design of the original
resources. This forces users to disclose personal information on their own.</p>
      <p>One type of phishing is “farming”. This is an attack by a malicious user to retrieve
personal information by slightly changing the Domain Name System (DNS) address,
but the site's interface remains the same as the original. This is to ensure that the user
accepts the fake site for real and no doubt enters personal information.</p>
      <p>Thorough checking of websites will help to circumvent the schemes of fraud on the
Internet.</p>
      <p>There are several methods to identify fraudulent websites:
 self-checking;
 check in databases of fraudulent sites;
 online verification services.</p>
      <p>
        Fraudulent sites can be defined according to typical criteria. Users do not need to
connect their browser extensions or check sites using special services. It is possible to
determine the authenticity of the site yourself if you know some indicators.[
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]
      </p>
      <p>Attendance. By the number of visitors to a website over a period, you can conclude
that it is safe for the user. Many sites install meters on their pages. Also, you can
check attendance yourself using plugins such as Liveinternet or Similarweb.</p>
      <p>Website reputation and reviews. You can check a fraudulent site by searching the
Internet (search engines) for information about it. If there are no reviews about the
web resource, or they are negative, or there is no information at all — this is a sign of
a fraudulent site. To check the reputation of websites, there is a popular extension of
"The Web of Trust". This is a rating tool that helps you make informed decisions
about whether to trust a site when searching, purchasing products, or browsing online.
"The Web of Trust" is based on the approach of the so-called "crowdsourcing". Many
users evaluate the site by sharing their experiences. This approach helps to prevent the
risky and threatening occurrence that exist in real time online.</p>
      <p>Feedback. A form on a website where users can write to site administrators and
specify email. In most cases, fraudulent sites do not install such forms on their pages
or respond to such hits.</p>
      <p>Date of creation. The longer operates the site, the less likely fraudulent acts on it.
After committing a scam, sites cease to exist, or moving to another domain. This is to
ensure that users do not have time to complain. Some websites independently indicate
the date of creation (placing information in the footer). You can check the date the
web resource was created by entering in the search bar: whois.com/whois/ site name.</p>
      <p>Inaccurate, illiterate content. Text content plays an important role in the
functionality of the site. Professional websites hire content managers, copywriters, and they
competently and structurally present information on the resource. Sites that are
intended to deceive users are filled by amateur or scammers themselves. Therefore, the
content on them contains a lot of inaccuracies and errors. Image and video content on
fraudulent sites are not original but copied (for example, commercials, logos of
wellknown brands, etc.). Often, scammers use the logos of popular banks and payment
systems to trick people and making money for fictitious services. But
nonprofessionals do this carelessly and the user may notice the erroneous location of the
graphics and video content and understand that this site is fraudulent. Frequent
transitions to other domains and creation of new sites require a transfer of content, which
also leads to inaccuracies and illiteracy of the content.</p>
      <p>The presence of analogues in social networks. Most successful sites are featured on
well-known social networks (Facebook, Instagram, Twitter). The official pages of the
social networking profiles indicate the link to the corresponding site. Developers of
fraudulent sites usually do not create analogue pages on social networks.</p>
      <p>Domain. Unreliable sites rarely use national domains. For owner fraudulent
websites It is difficult and unprofitable to pay for the short-term existence of a national
domain.</p>
      <p>Contact Information. In order to identify the authenticity of the site it is necessary
to check the actual address and telephone numbers indicated on the contact
information.</p>
      <p>Payment systems. It is necessary checking the payment system options accepted by
the customer. Traditionally, fraudulent sites do not have a payment card acceptance
system. The most commonly used option is the payment in virtual currency, the
registration of which may allow fraudulent actions, because it does not verify the
authenticity of the data of the payee.</p>
      <p>Website address. On fraudulent sites that aim to steal user login and password data,
the layout of the interface is fully consistent with the original site. If such a site is
visited by an uninitiated user, it may accept the original site and log in. Accordingly,
leave in text form username and password, which can be used by fraudsters. This type
of websites can be distinguished from the original at the site address where there must
be a mismatch with the real site.</p>
      <p>Specialized databases provide instant web site verification. They are filled with
lists of dangerous sites and information about them (see Table 1).</p>
      <p>Ukrainian Interbank Payment Systems Member Association "EMA". The
fraudulent site database is the result of daily monitoring conducted by the Association's
experts, as well as information from bank security services, payment services, cyber
police and verified information left by users through the "Report Incident"
functionality. If users encounter payment fraud, then this information can be left here, which
will be reviewed, verified and used to prevent future fraud incidents. User fills out a
simple form. Indicates whether there is a suspicion of misconduct, whether it has
already been harmed, the type of fraud and the address of the suspected site.
There are two ways to check if a site is dangerous using the EMA database: a user can
view the blacklist or enter the site address in a text form and immediately retrieve the
result of the check. In addition to the BlackList EMA, the site has a WhiteList — a
list of tried and trusted payment services.</p>
      <p>Malware Domain List. — list of fraudulent websites with the specified
information: Date (UTC), Domain, IP, Reverse Lookup, Description, ASN and the country
of creation of the site. There is a function of sorting by these indicators.</p>
      <p>Cyber police blacklist. The project was created for the implementation of the state
policy in the field of combating cybercrime, informing the population about the
emergence of new cybercriminals, introducing software for the systematization of cyber
accidents. On the site you can check the information by parameters: bank card
number, phone or sitelink.</p>
      <p>Phishtank. A free website where anyone can send, verify, track and share phishing
data. Users must register on a site to report a suspected phish. A feature of the
database is that it is possible to check not only sitelinks but also suspected email
addresses. You can also find a lot of useful information about online phishing on the
Phishtank website.</p>
      <p>
        If required to enter your personal information — such as credit card number, social
security number, account number or password on unfamiliar sites, they should
immediately be checked for fraud. One or more popular and most effective online services
can be used for verification. [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ]
      </p>
      <p>Online fraudulent website verification services.
 Check website status with Google Safe Browsing — a service developed by the
Google security team to detect unsafe websites on the web and alert users and
webmasters of potential harm. The service is installed and effectively protects
about three million devices (computers, phones) worldwide.
 Webmoney Advisor — to check online exchangers and payment sites. The
developers of the largest payment system have developed their own algorithm for checking
websites and pages. Real feedback is analyzed to determine if it is a reliable or
fraudulent resource. To check online for fraudulent websites, you must enter a
URL on the Webmoney Advisor page and wait for the review to complete. In the
end, the service will provide traffic statistics, the ability to use the currency of the
Webmoney system, the rating of positive and negative user estimation. You can
leave your own review and evaluation of the website. This increases the likelihood
of preventing unauthorized access to user data worldwide. You can connect a
browser plugin that allows you to get the reputation of the site you visit, whether it
accepts WebMoney and other information in one click.
 URLVoid — free service that allows users to scan a website to help detect
malware, phishing, and fraud threats. The URLVoid has collected data on fraudulent
websites over the last ten years. In total service have analyzed more than sixty
million unique websites.
 Unmask Parasites is an easy-to-use website security service that helps expose
hidden_illicit (parasites) content that hackers insert into high-quality web pages using
various security gaps.
 Virustotal is an online service that analyze suspicious files and facilitates the rapid
detection of viruses, worms, Trojans and all types of malware in real time. Allows
scanning sites URLs or download files (up to 550 Mb in size) from your computer
for verification. It uses more than seventy antivirus systems and automatically
updates its virus databases.
 Dr.Web LinkChecker is a free plugin for Chrome, Firefox and Opera browsers. It
automatically checks the links navigated by the user and the download files.
Instantly detects modified links and checks links for scripts and frames. Also blocks
ads on web pages.
 Avast Online Security is a browser extension for phishing protection on the
Internet. Check pages that a user visits and warns of potential danger. In addition, the
program issues a notification if on the Internet is tracking user activity.
 Is It Hacked? Performs several website checks and monitor the blacklists in real
time. Check websites built in all programming languages (PHP, .NET, Java, Ruby,
Scala, Erlang, GO, C#, Python etc).
 WHOIS. This is a resource that provides domain registration information and who
is the hosting provider. This service will be useful for those users who have already
been the victims of fraudulent activity on the Internet and who want to find the
perpetrator. When you find out who exactly supports the site, you can write to the
hosting provider and get information about the fraudster. Data will be provided
subject to proof of fraud.
 Trustorg.com or "Trust in the Web" is a service designed to identify fraudulent
websites and determine the level of Internet users' trust in websites. It is very easy
to use the service; it is enough to enter the domain of the site in the form of
verification and review the results. "Trust on the Web" shows time of existence of the
domain, location of IP-address, unique rating of trust, reputation of the site. The
analysis is based on the integrated use of reliable verification technologies. In
particular, the Yandex Directory, Web Of Trust, Safe Browsing. Users will also be
able to see the site owner's registered phone number and office address. In
addition, you can register on the site of the service, which will allow you to leave
comments on sites and change their level of trust.
 Web of Trust is an extension for web browsers, an international site verification
service. Protects users from phishing, dangerous software, viruses. Issues a security
warning message if a user navigates to a suspicious page. You can also view the
reputation of the site yourself through the extension icon. The WoT database
contains over one million sites from popular providers.
4</p>
    </sec>
    <sec id="sec-4">
      <title>Results</title>
      <p>After conducting the research on the identifying of fraudulent sites (Fig. 3), we can be
concluded that the progress of fraudulent methods is proportional to the level of its
detection.
The illegal site gets into the databases of fraudulent websites and online fraudulent
website verification services very late, since the services themselves are not quick to
find them, and users rarely report such cases. More often, an appeal gets to banking
institutions (if an unlawful financial transaction has been committed) and to mobile
operators (if a phone number has been "stolen"), which, in turn, report to the relevant
authorities only after a repeated number of such appeals.</p>
      <p>Accordingly, the method of using databases of fraudulent websites reduces the
opportunity to get trapped by scammers by 30-35%. If you use the methods of visual
identification and analysis of the site – this reduces the probability of 30-50%.</p>
      <p>Such a large gap is related to that fact that not all users of the global network are
able to independently evaluate the truth of the website only through the analysis of
visual information and content. In general, if you use all the methods proposed, you
can reduce the number of people affected by fraudulent sites by 51-67%.</p>
    </sec>
    <sec id="sec-5">
      <title>Conclusion</title>
      <p>The development of Internet technologies and the informatization of society opens
great opportunities and accessibility of information, but on the other hand requires
caution and protection of personal data. Every year, the opportunities of fraudsters
increase in proportion to the methods of combating them. Therefore, the use of
various means of site identification does not always produce 100% results. Internet users
must be reasoned and guide of logic before making payment or providing personal
information. Users need to learn not to make emotional and quick decisions. This is
very often used by scammers "organizing promotions", which will end in a few
minutes, leaving no time for reflection.</p>
    </sec>
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