18 datasets found
  1. Smishing attacks in global organizations 2021-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Smishing attacks in global organizations 2021-2023 [Dataset]. https://www.statista.com/statistics/1306234/volume-smishing-attacks-organizations/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    According to a survey of IT professionals and working adults worldwide, in 2023, ***** in **** respondents reported that their organization had encountered smishing attacks. This figure has decreased by only *** percentage point since the previous year.

  2. t

    Sms smishing collection data set

    • service.tib.eu
    Updated Dec 2, 2024
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    (2024). Sms smishing collection data set [Dataset]. https://service.tib.eu/ldmservice/dataset/sms-smishing-collection-data-set
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    Dataset updated
    Dec 2, 2024
    Description

    Sms smishing collection data set

  3. Awareness of smishing among smartphone users Japan 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Awareness of smishing among smartphone users Japan 2022 [Dataset]. https://www.statista.com/statistics/1228876/japan-awareness-of-smishing-among-mobile-device-users/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 7, 2022 - Dec 15, 2022
    Area covered
    Japan
    Description

    According to a survey conducted in December 2022, **** percent of smartphone users in Japan neither knew the term nor the meaning of smishing. The term is a portmanteau of "SMS" and "phishing." It refers to a form of online fraud in which a legitimate source is impersonated in order to gain sensitive information. Unlike phishing, however, smishing involves simple text messages instead of e-mails.

  4. Most reported cybercrime in the U.S. 2024, by number of individuals affected...

    • statista.com
    Updated Jul 7, 2025
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    Statista (2025). Most reported cybercrime in the U.S. 2024, by number of individuals affected [Dataset]. https://www.statista.com/statistics/184083/commonly-reported-types-of-cyber-crime-us/
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    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    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.

  5. C

    Cloud based Phishing Protection Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 23, 2025
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    Data Insights Market (2025). Cloud based Phishing Protection Report [Dataset]. https://www.datainsightsmarket.com/reports/cloud-based-phishing-protection-1403246
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The cloud-based phishing protection market is experiencing robust growth, driven by the increasing frequency and sophistication of phishing attacks targeting both small and medium-sized enterprises (SMEs) and large enterprises. The rising adoption of cloud-based services and the need for robust cybersecurity solutions to mitigate the financial and reputational damage caused by successful phishing campaigns are key market drivers. Furthermore, the shift towards remote work models has significantly increased the attack surface, necessitating more sophisticated and accessible security measures like cloud-based phishing protection. The market is segmented by application (SMEs and large enterprises) and type of protection (email-based and non-email-based). While email-based phishing protection currently holds a larger market share, the non-email-based segment is witnessing faster growth fueled by the evolution of phishing techniques beyond traditional email attacks, including SMS phishing (smishing) and social media-based attacks. Competition is fierce, with established players like Microsoft, Symantec, and Cisco alongside specialized cybersecurity firms like Proofpoint and Cyren vying for market share. Geographic expansion is also a significant factor, with North America currently dominating the market due to high technological adoption and robust cybersecurity infrastructure. However, regions like Asia-Pacific are showing significant growth potential owing to increasing digitalization and rising awareness of cybersecurity threats. We estimate a market size of $5 billion in 2025, growing at a compound annual growth rate (CAGR) of 15% over the forecast period (2025-2033). This projection accounts for the expected increase in cloud adoption, the growing sophistication of phishing attacks, and the ongoing need for robust security solutions across various industries. The market's restraints include the relatively high cost of advanced cloud-based phishing protection solutions, especially for SMEs, and the persistent challenge of staying ahead of ever-evolving phishing techniques. The effectiveness of these solutions heavily relies on continuous updates and adaptation to new threats, which requires ongoing investment and expertise. Nonetheless, the significant financial and reputational risks associated with successful phishing attacks are driving organizations of all sizes to prioritize robust cybersecurity solutions, thereby fueling market growth despite these challenges. The market is expected to reach approximately $18 billion by 2033, indicating a substantial growth trajectory over the next decade. This growth is further supported by government regulations and increased industry awareness campaigns focusing on phishing prevention and detection.

  6. d

    National Police Agency_Cyber Fraud

    • data.go.kr
    csv
    Updated May 9, 2025
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    (2025). National Police Agency_Cyber Fraud [Dataset]. https://www.data.go.kr/en/data/15064572/fileData.do
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    csvAvailable download formats
    Dataset updated
    May 9, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    This data is provided on a one-time basis and is public data that provides the status of cyber fraud crimes as of August 13, 2021, as compiled by the National Police Agency. It includes the number of cases, amount of damage, arrest records, etc. by major crime type, such as Internet direct transaction fraud, financial fraud, phishing/smishing, and messenger phishing, so you can analyze the characteristics, occurrence trends, and damage scale of each type of cyber crime. This data is widely used for the police's cyber crime response policy, financial institutions' security reinforcement, research institutes' crime analysis, the private sector's security solution development, and public institutions' prevention campaign materials.

  7. Data from: Phishing Detection Dataset

    • kaggle.com
    Updated Apr 12, 2021
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    Verugopal Iyyer (2021). Phishing Detection Dataset [Dataset]. https://www.kaggle.com/verugopaliyyer/phishing-detection-dataset/code
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 12, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Verugopal Iyyer
    Description

    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.

  8. Monthly cyberattacks on global mobile users worldwide 2020-2023

    • statista.com
    Updated Oct 10, 2024
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    Statista (2024). Monthly cyberattacks on global mobile users worldwide 2020-2023 [Dataset]. https://www.statista.com/statistics/1305965/mobile-users-cyber-attacks/
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    Dataset updated
    Oct 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Mobile devices connected to the internet are vulnerable to targeted attacks and security threats. In December 2023, the number of global mobile cyberattacks was approximately 5.4 million, up by 147 percent compared to December 2022. Cyberattacks targeting mobile devices have been decreasing since the end of 2020, after experiencing an annual peak of almost 6.4 million in October 2020. Mobile concerns: Smishing While mobile operating systems come with vulnerabilities requiring patching and regular maintenance, watchful usage can reduce the risk for users of incurring security threats. Smishing attacks are especially reliant on users’ accidental mistakes or naivety. Smishing, or SMS phishing, uses text messages to lure users into accessing fake websites requesting personal data, or into clicking on malicious download links that could infect the device with malware. In the first quarter of 2024, AdWare and RiskTool were the most encountered types of mobile malware worldwide, while Trojan malware accounted for 11 percent of the total. Smishing attacks do not interest regular users alone, but can also target organizations and professionals. In 2023, it was found that the share of IT professionals and organizations targeted by smishing attacks was at 75 percent. Mobile app privacy According to a survey of global consumers carried out in August 2021, both Android and iOS users appeared equally keen to stop using an app if their privacy expectations were not met. Mobile apps have to collect different types of data for functionality purposes, including app diagnostic and device data for location-based services. However, mobile apps also collect other types of more personal user data, such as search history, browsing history, health data, and financial information. The data can be then used by the company that collected them in the first place (1st party data), or with entities that do not have a direct relationship with the users, and obtain data from the main tracking source (3rd party data). Social media apps, like other app categories, rely on acquiring 3rd party data from users for their advertisement business. As of February 2022, TikTok was found to have the highest number of potential 3rd party trackers, followed by Telegram, and Twitter.

  9. Awareness of smishing among PC users Japan 2022

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Awareness of smishing among PC users Japan 2022 [Dataset]. https://www.statista.com/statistics/1321639/japan-awareness-of-smishing-among-computer-users/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 7, 2022 - Dec 15, 2022
    Area covered
    Japan
    Description

    According to a survey conducted in December 2022, more than ** percent of computer users in Japan neither knew the term nor the meaning of smishing. The term is a portmanteau of "SMS" and "phishing." It refers to a form of online fraud in which a legitimate source is impersonated in order to gain sensitive information. Unlike phishing, however, smishing involves simple text messages instead of e-mails.

  10. S

    SMS Firewall Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 30, 2025
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    Market Report Analytics (2025). SMS Firewall Market Report [Dataset]. https://www.marketreportanalytics.com/reports/sms-firewall-market-88354
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The SMS Firewall market is experiencing robust growth, driven by the increasing need to secure sensitive data transmitted via SMS and the rising adoption of cloud-based communication platforms. The market, valued at approximately $XX million in 2025 (assuming a logical extrapolation based on the provided CAGR and study period), is projected to exhibit a Compound Annual Growth Rate (CAGR) of 10.20% from 2025 to 2033. Key drivers include the escalating volume of A2P (Application-to-Person) SMS traffic, the rise of fraudulent SMS messages (smishing), and stringent regulatory compliance mandates demanding enhanced security measures. The market is segmented by SMS type (A2P, P2P), platform (cloud, traditional applications), and end-user industries (education, government, IT & Telecom, media & entertainment, BFSI, healthcare, manufacturing, e-commerce). The cloud-based segment is expected to dominate due to its scalability, cost-effectiveness, and ease of deployment. Significant growth is anticipated in regions such as Asia Pacific and North America, fueled by high smartphone penetration and increased digital adoption. However, factors like the high initial investment cost for implementation and the potential for false positives can act as market restraints. Competition is intense, with established players like Cellusys, Sinch, and Twilio alongside emerging regional players vying for market share. The future of the SMS Firewall market is promising, particularly as businesses increasingly prioritize data security and comply with evolving regulations across various sectors. The competitive landscape is characterized by both large multinational corporations and smaller, specialized firms. The presence of a diverse range of players reflects the market’s varied needs and technological approaches. Strategic partnerships and mergers & acquisitions are anticipated to play a significant role in shaping the market landscape. Continuous innovation in SMS filtering technologies, including AI-powered solutions, is expected to enhance the accuracy and effectiveness of SMS firewalls and further drive market growth. Expansion into new geographical markets, particularly in developing economies with high mobile penetration, presents lucrative opportunities for market expansion. The focus will likely shift toward offering integrated security solutions that go beyond basic SMS filtering, incorporating features like advanced threat detection and real-time analytics. Key drivers for this market are: , Growing Security & Privacy Concern; Growing Trend in Mobile Marketing. Potential restraints include: , Growing Security & Privacy Concern; Growing Trend in Mobile Marketing. Notable trends are: Increase in Adoption of A2P will Drive the Market in the Forecast Period.

  11. Most frequent consumer fraud schemes Philippines Q4 2024

    • statista.com
    Updated Feb 14, 2025
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    Statista (2025). Most frequent consumer fraud schemes Philippines Q4 2024 [Dataset]. https://www.statista.com/statistics/1271755/philippines-most-frequent-consumer-fraud-schemes/
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 25, 2024 - Oct 17, 2024
    Area covered
    Philippines
    Description

    According to a survey on personal finance conducted during the fourth quarter of 2024 in the Philippines, 45 percent of respondents who had experienced digital fraud attempts were targeted with phishing attacks. In addition, 41 percent of respondents were targeted with smishing or phishing using text messages.

  12. Italy: online financial fraud and investigate people 2022-2023

    • statista.com
    • ai-chatbox.pro
    Updated Jul 8, 2025
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    Italy: online financial fraud and investigate people 2022-2023 [Dataset]. https://www.statista.com/statistics/1465924/italy-online-financial-fraud/
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    Dataset updated
    Jul 8, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    In 2023, the Italian authorities covering cyber crime and online safety investigated ****** cases of online financial fraud that targeted their victims with phishing, smishing, or vishing in order to subtract money from them. This represents an increase compared to 2022, when the financial fraud cases investigated were *****. In the last examined year, the Italian authorities investigated almost 1,000 people due to alleged financial fraud and monetary scams on the internet.

  13. Frequently detected cyberattacks in France 2023, by type

    • statista.com
    Updated Jan 15, 2024
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    Statista (2024). Frequently detected cyberattacks in France 2023, by type [Dataset]. https://www.statista.com/statistics/1352995/cyber-attacks-common-france-by-type/
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    Dataset updated
    Jan 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 27, 2023 - Dec 22, 2023
    Area covered
    France
    Description

    As of January 2023, phishing, spear phishing, or smishing were the most common types of cyberattacks in France, with around *** in ** companies encountering it. The exploitation of a vulnerability ranked second, with ** percent. The third most common cyberattack was denial-of-service attack (DOS), detected by ** percent of the respondents.

  14. Share of smartphone owners who received a phishing scam SMS Japan 2023

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Share of smartphone owners who received a phishing scam SMS Japan 2023 [Dataset]. https://www.statista.com/statistics/1475421/japan-share-of-smartphone-owners-who-received-a-phishing-scam-sms/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 1, 2023 - Dec 7, 2023
    Area covered
    Japan
    Description

    A survey from ************* showed that almost ** percent of smartphone owners in Japan had received an SMS that could be interpreted as a phishing scam within the past year. Phishing scams via SMS are also known as smishing scams. More than half of the respondents stated that they had received such an SMS more than a year ago.

  15. Global risky actions in cyber threat situations 2022

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Global risky actions in cyber threat situations 2022 [Dataset]. https://www.statista.com/statistics/1376202/risky-actions-threat-situations-worldwide/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    Worldwide
    Description

    A 2022 survey of working adults revealed that ** percent of respondents had taken any action that could threaten their internet safety. A further ** percent said they had clicked phishing links leading to a fake website, while ** percent downloaded malware from smishing.

  16. Statystyki SMS-ów obsłużonych przez CERT Polska w ramach zwalczania nadużyć...

    • data.europa.eu
    csv
    Updated Apr 5, 2024
    + more versions
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    Naukowa i Akademicka Sieć Komputerowa – Państwowy Instytut Badawczy (2024). Statystyki SMS-ów obsłużonych przez CERT Polska w ramach zwalczania nadużyć w komunikacji elektronicznej oraz liczba wytworzonych wzorców fałszywych wiadomości SMS [Dataset]. https://data.europa.eu/data/datasets/https-dane-gov-pl-pl-dataset-3828-statystyki-sms-ow-obsluzonych-przez-cert-polska-w?locale=en
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    csv(356), csv(380), csv(289), csv(533), csv(269), csv(428), csv(453), csv(337), csv(312), csv(403), csv(507), csv(336), csv(268), csv(288), csv(311), csv(482)Available download formats
    Dataset updated
    Apr 5, 2024
    Dataset authored and provided by
    Naukowa i Akademicka Sieć Komputerowa – Państwowy Instytut Badawczyhttps://www.nask.pl/en
    Description

    Zespół CERT Polska / CSIRT NASK, działający w strukturach Naukowej i Akademickiej Sieci Komputerowej – Państwowego Instytutu Badawczego (NASK-PIB), zgodnie z ustawą z dnia 28 lipca 2023 r. o zwalczaniu nadużyć w komunikacji elektronicznej, monitoruje występowanie smishingu i tworzy wzorce wiadomości, które posiadają cechy pozwalające na uznanie ich za smishing. Działania te wykonuje na podstawie zgłoszeń podejrzanych wiadomości tekstowych (SMS) otrzymanych od odbiorców tych wiadomości oraz informacji otrzymanych od przedsiębiorców telekomunikacyjnych i innych podmiotów. Dane prezentowane są w ujęciu miesięcznym. Dane udostępniane są w formacie otwartym CSV.

  17. Most common scams in Singapore 2023

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Most common scams in Singapore 2023 [Dataset]. https://www.statista.com/statistics/981340/leading-types-of-scams-singapore/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Singapore
    Description

    In 2023, job scams were the most common type of scam in Singapore, with around ***** cases reported. E-commerce scams also represented a prevalent form of fraud in the country, with over ***** cases reported.

    Phishing threat in Singapore In Singapore, around *********** different phishing URLs with a .SG domain were detected in 2022. The highest number of phishing URLs was recorded the previous year, with around ***********. Phishing attacks can take many forms, such as corporate e-mail compromise (CEC), mass phishing, or smishing. These phishing e-mails represent a crucial risk for businesses. They can also lead to ransomware infections, which have also increased in recent years.

    Data breaches Companies and governments are increasingly relying on technology to collect, analyze, and store personal data. This can lead to potential risks when such data is affected by cyber incidents. In Singapore, the number of exposed data points per thousand people reached ** in 2022. Over the same period, around ************ data sets were reported as leaked in the country.

  18. Italy: embezzlement from online financial fraud 2022-2023

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Italy: embezzlement from online financial fraud 2022-2023 [Dataset]. https://www.statista.com/statistics/1465936/italy-online-financial-fraud-sums/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    In 2023, the Italian authorities covering cyber crime have estimated that ** million euros were embezzled from victims of online financial fraud by means of phishing, smishing, and vishing. This represents an increase of approximately *** million compared to 2022, when victims of online financial fraud cases in Italy lost an estimated sum of **** million euros.

  19. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2025). Smishing attacks in global organizations 2021-2023 [Dataset]. https://www.statista.com/statistics/1306234/volume-smishing-attacks-organizations/
Organization logo

Smishing attacks in global organizations 2021-2023

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Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Worldwide
Description

According to a survey of IT professionals and working adults worldwide, in 2023, ***** in **** respondents reported that their organization had encountered smishing attacks. This figure has decreased by only *** percentage point since the previous year.

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