During the fourth quarter of 2024, nearly 23 percent of phishing attacks worldwide targeted social media. Web-based software services and webmail were targeted by over 23 percent of registered phishing attacks. Furthermore, financial institutions accounted for 12 percent of attacks.

In 2024, over 193,000 individuals in the United States reported encountering phishing attacks. This figure had decreased compared to the previous year, when the number of phishing attacks nationwide amounted to nearly 300,000. However, in 2020 and 2019, this number was relatively low, around 241 thousand and 114 thousand, respectively.

In a small town in Oregon, a retired schoolteacher recently lost $24,000 in a sophisticated phishing scam. Despite decades of experience and cautious financial habits, she clicked a link that appeared to be from her bank. This isn't just a cautionary tale; it's part of a much bigger picture. In...

A partial dataset and document-term matrix of phishing emails targeting an institution of higher education and an associated script used for data analysis.

In a 2024 survey, when asked whether online scams and phishing have become more sophisticated due to the use of artificial intelligence (AI), around ** percent stated they had become much more sophisticated. Another ** percent believed they became somewhat more sophisticated, while only *** percent said the scams were much less sophisticated.

This API is providing the information of press releases issued by the authorized institutions and other similar press releases issued by the HKMA in the past regarding fraudulent bank websites, phishing E-mails and similar scams information.

In the 4th quarter of 2024, over 989,000 unique phishing attacks were detected worldwide, representing a slight increase from the preceding quarter. By far, the number of unique phishing sites has seen the most significant jump between the second and the third quarters of 2020, from nearly 147,000 to approximately 572,000. This figure is based on the number of the unique base URLs of the phishing sites.

Introduction

E-Commerce Fraud Statistics: When you shop online, you probably think about getting the best deal, fast delivery, or whether the product will match the description. But there’s a whole other side to e-commerce that most shopping people never see, the world of fraud. And trust me, these numbers will shock you, because you did to me. These e-commerce fraud statistics aren’t just random figures in a report; they show the real damage that scammers are causing to businesses and even regular customers like us.

Over the years, fraud in online shopping has gone from the stolen credit card to a multi-billion-dollar global problem. We’re talking billions lost every single year, and it’s only getting worse. These statistics tell a story about how criminals work, where they strike the most, and which types of fraud cost businesses the most money. If you’ve ever wondered just how big the problem is, or what kinds of tricks fraudsters are using, let’s get started.

Provide telecommunications fraud case data (This data is preliminary statistics at the beginning of each quarter, for reference only, the accurate statistics are based on the annual crime statistics data of this department).

As of February 2025, the United States ranked first by the average cost of a data breach, 10.22 million U.S. dollars. The average cost of data breaches in the Middle East was 7.29 million U.S. dollars. Benelux followed in the ranking, with 6.24 million U.S. dollars. In the measured period, the global average data breach cost was 4.44 million U.S. dollars. Phishing scams in the U.S. Breached data often ends up in the hands of threat actors who use it for malicious purposes, including online scams. Phishing continues to be a major threat in North America, particularly on smartphones. In the second quarter of 2023, the region recorded the highest number of phishing and malicious attack attempts globally. The United States was particularly affected, with 45 percent of U.S. citizens reporting being targeted by scam texts, e-mails, and calls on a daily basis. Additionally, phishing and spoofing were the most common types of cybercrime, impacting 298 thousand individuals in 2023. These attacks led to financial losses, with U.S. victims reporting nearly 20 billion U.S. dollars in damages throughout the year. U.S. users and data privacy Despite only 20 percent of internet users in the United States being highly knowledgeable about data privacy and cybersecurity, a significant portion of users demonstrated caution and awareness in protecting their information. In fact, over half of surveyed U.S. users reported being somewhat confident in knowing the right steps to take in the event of a cyberattack. Furthermore, 43 percent of U.S. users actively decline cookies on websites, reflecting their increasing concern for data protection. Many respondents also take additional steps to safeguard their digital privacy, such as limiting or avoiding clicking on ads as well as not answering phone calls due to cybersecurity risks.

This dataset contains a collection of legitimate and phishing websites, along with information on the target brands (brands.csv) being impersonated in the phishing attacks. The dataset includes a total of 10,395 websites, 5,244 of which are legitimate and 5,151 of which are phishing websites. These websites impersonate a total of 86 different target brands.

For phishing datasets, the files can be downloaded in a zip file with a "phishing" prefix, while for legitimate websites, the files can be downloaded in a zip file with a "not-phishing" prefix.

In addition, the dataset includes features such as screenshots, text, CSS, and HTML structure for each website, as well as domain information (WHOIS data), IP information, and SSL information. Each website is labeled as either legitimate or phishing and includes additional metadata such as the date it was discovered, the target brand being impersonated, and any other relevant information.

The dataset has been curated for research purposes and can be used to analyze the effectiveness of phishing attacks, develop and evaluate anti-phishing solutions, and identify trends and patterns in phishing attacks. It is hoped that this dataset will contribute to the advancement of research in the field of cybersecurity and help improve our understanding of phishing attacks.

In 2024, the most common type of cybercrime reported to the United States internet Crime Complaint Center was phishing, with its variation, spoofing, affecting approximately 193,000 individuals. In addition, over 86,000 cases of extortion were reported to the IC3 during that year. Dynamic of phishing attacks Over the past few years, phishing attacks have increased significantly. In 2024, over 193,000 individuals fell victim to such attacks. The highest number of phishing scam victims since 2018 was recorded in 2021, approximately 324 thousand.Phishing attacks can take many shapes. Bulk phishing, smishing, and business e-mail compromise (BEC) are the most common types. With the recent development of generative AI, it has become easier to craft a believable phishing e-mail. This is currently among the top concerns of organizations leaders. Impact of phishing attacks Among the most targeted industries by cybercriminals are healthcare, financial, manufacturing, and education institutions. An observation carried out in the fourth quarter of 2024 found that software-as-a-service (SaaS) and webmail was most likely to encounter phishing attacks. According to the reports, almost a quarter of them stated being targeted by a phishing scam in the measured period.

Phishing was the most prevalent form of scam in Australia in 2023, with over ***** housand incidents reported. There were also around **** thousand reports of false billing.

Email, text, and call spam remain major threats nowadays. Nearly half of all daily emails are unwanted, with users worldwide encountering boosted volumes of phishing and scam content. In retail and financial services, spam disrupts customer trust and inflates cybersecurity budgets. Meanwhile, call-based scams cost consumers time and mental strain...

The dataset 1 contains the age, qualification level, their awareness about phishing and if they became victim to phishing. The dataset 1 contains the result to detection rate before awareness and briefing of phishing after a successful spear phishing.

The dataset 2 contains the age, qualification level, their awareness about phishing and if they became victim to phishing. The dataset 2 contains the result to detection rate after awareness and briefing of phishing after a successful smishing.

A survey from December 2024 showed that almost 77 percent of male smartphone owners in Japan knew the phishing scam method of luring people to a fake website via e-mail or SMS. Tricking people into installing fraudulent apps was also known by a majority of the respondents.

Be aware of the common types of phishing scams that are out there.

Scam Detection Market Outlook

According to our latest research, the global scam detection market size reached USD 5.4 billion in 2024, reflecting robust demand for advanced fraud prevention solutions across industries. The market is expected to grow at a CAGR of 17.2% from 2025 to 2033, reaching a forecasted value of USD 20.9 billion by 2033. This impressive growth is underpinned by the escalating sophistication of cyber threats, the proliferation of digital transactions, and the increasing regulatory requirements for financial and data security worldwide.

One of the primary growth factors for the scam detection market is the rapid digitalization of financial services and commerce. As consumers and businesses increasingly rely on online platforms for banking, shopping, and communication, the attack surface for scammers and fraudsters has expanded significantly. This has necessitated the adoption of advanced scam detection technologies, including artificial intelligence, machine learning, and behavioral analytics, to proactively identify and mitigate fraudulent activities in real-time. The integration of these technologies into existing IT infrastructure is enabling organizations to stay ahead of evolving scam tactics, thereby driving market growth.

Another critical driver is the increasing regulatory scrutiny and compliance mandates imposed by governments and industry bodies. Regulatory frameworks such as the General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI DSS), and Anti-Money Laundering (AML) directives require organizations to implement robust mechanisms for fraud detection and prevention. Non-compliance can result in severe financial penalties and reputational damage, prompting organizations to invest heavily in scam detection solutions. Furthermore, the rising cost of cybercrime and its impact on consumer trust has made scam detection a strategic priority for organizations across all sectors.

The emergence of sophisticated scam techniques, such as deepfake fraud, phishing-as-a-service, and synthetic identity fraud, has further fueled the demand for next-generation scam detection solutions. These advanced threats exploit vulnerabilities in digital ecosystems and can bypass traditional security measures, making it imperative for organizations to leverage multi-layered, adaptive, and intelligent detection mechanisms. The ongoing evolution of scam tactics is fostering continuous innovation within the market, with vendors developing solutions that offer real-time monitoring, automated threat response, and predictive analytics capabilities.

Regionally, North America continues to dominate the scam detection market, holding the largest share in 2024, followed by Europe and Asia Pacific. The United States, in particular, is at the forefront due to its highly developed financial sector, stringent regulatory environment, and early adoption of advanced cybersecurity technologies. Meanwhile, Asia Pacific is expected to witness the fastest growth during the forecast period, driven by rapid digital transformation, increasing internet penetration, and a surge in online financial activities. The Middle East & Africa and Latin America are also witnessing increased adoption, albeit at a comparatively moderate pace, as organizations in these regions ramp up their digital security initiatives.

Component Analysis

The component segment of the scam detection market is categorized into software, hardware, and services, each playing a vital role in the overall security ecosystem. Software solutions constitute the largest share within this segment, as they offer advanced functionalities such as real-time monitoring, anomaly detection, and automated alerts. These solutions leverage artificial intelligence, machine learning, and big data analytics to identify suspicious patterns and prevent fraudulent activities. The scalability and flexibility of software-based scam detection tools make them highly attractive for organ

Online Fraud Detection Market Outlook

The global online fraud detection market size was valued at USD 3.5 billion in 2023 and is projected to reach USD 10.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 13.2%. This impressive growth is driven by the increasing sophistication of cyber-attacks and the rising adoption of digital payment methods, which demand robust security solutions.

The primary growth factor for the online fraud detection market is the escalating frequency and complexity of cyber-attacks. As businesses and consumers increasingly conduct transactions online, fraudsters have developed more sophisticated methods to exploit system vulnerabilities. This has created a pressing need for advanced fraud detection solutions that can identify and mitigate such threats in real-time. Additionally, regulatory mandates are compelling organizations to implement stringent security measures, further fueling market growth.

Another significant growth driver is the rapid digitization across various sectors, including banking, financial services, and insurance (BFSI), retail, and healthcare. As these industries embrace digital transformation, the volume of online transactions has surged, making them prime targets for cyber fraud. Consequently, there is an increasing investment in fraud detection technologies to safeguard sensitive information and maintain customer trust. Moreover, the integration of artificial intelligence (AI) and machine learning (ML) in fraud detection systems has enhanced their capability to predict and prevent fraudulent activities efficiently.

The rising awareness among consumers about the potential risks associated with online transactions is also contributing to market growth. As individuals become more informed about the dangers of cyber fraud, there is a heightened demand for secure online payment systems. Businesses are responding to this demand by incorporating advanced fraud detection tools into their platforms to provide a secure and seamless user experience. Furthermore, the emergence of e-commerce and m-commerce has necessitated the adoption of robust fraud prevention measures to protect both buyers and sellers.

Anomaly Detection Solution plays a crucial role in the online fraud detection market by providing advanced tools to identify unusual patterns and activities that could indicate fraudulent behavior. These solutions utilize sophisticated algorithms and machine learning techniques to analyze vast amounts of data in real-time, enabling businesses to detect anomalies that may otherwise go unnoticed. By integrating anomaly detection into their security frameworks, organizations can enhance their ability to identify potential threats early and take proactive measures to prevent fraud. This not only helps in safeguarding sensitive information but also in maintaining customer trust and ensuring compliance with regulatory requirements. As the complexity of cyber threats continues to evolve, the demand for robust anomaly detection solutions is expected to rise, driving further growth in the market.

Regionally, North America dominates the online fraud detection market due to the high adoption rate of digital payment methods and the presence of major technology providers. The region's strong regulatory framework and focus on cybersecurity also play a crucial role in driving market growth. Meanwhile, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, fueled by the rapid expansion of the e-commerce sector and increasing internet penetration. Europe remains a significant market, driven by stringent data protection regulations and substantial investments in cybersecurity solutions.

Component Analysis

The online fraud detection market is segmented into software and services based on components. The software segment comprises various solutions such as fraud analytics, authentication, and fraud management, which are designed to detect and prevent fraudulent activities. The continuous evolution of cyber threats has necessitated the development of sophisticated software solutions capable of analyzing vast amounts of data in real-time to identify anomalies and potential fraud. These solutions leverage AI and ML algorithms to enhance their detection accuracy and response time.

In addition to software solutions, the services segment plays a vital role in the online fraud detection market. Services such as con