Key Takeaways
- Smishing attacks most commonly use COVID-19 package delivery lures, accounting for 29% of analyzed SMS phishing in 2023
- 82% of organizations use AI-based SMS filtering reducing smishing success by 65% per Gartner 2024 poll
- Global smishing losses reached $1.2 billion in 2023 per Chainalysis crypto scam report tied to SMS vectors
- In 2023, smishing attacks represented 12.5% of all mobile phishing incidents reported globally, marking a 47% increase from 2022
- Latin America reported 18,000+ smishing cases to OAS in 2023, category: Prevalence and Trends
- In the US, 68% of adults aged 18-24 reported receiving at least one smishing attempt in 2023 per FTC survey data
Smishing attacks are widespread and likely, so recognizing suspicious texts can help protect you quickly.
Related reading
01 · Category
Attack Vectors and Techniques20 stats
Attack Vectors and Techniques Interpretation
02 · Category
Detection, Prevention, and Response20 stats
Detection, Prevention, and Response Interpretation
03 · Category
Financial and Operational Impacts20 stats
Financial and Operational Impacts Interpretation
More related reading
04 · Category
Prevalence and Trends19 stats
Prevalence and Trends Interpretation
05 · Category
Prevalence and Trends, source url: https://www.oas.org/ext/en/cybersecurity/reports/2023-cybercrime-trends-la.pdf1 stats
Prevalence and Trends, source url: https://www.oas.org/ext/en/cybersecurity/reports/2023-cybercrime-trends-la.pdf Interpretation
06 · Category
Victim Demographics20 stats
Victim Demographics Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
Marie Larsen. (2026, February 13). Smishing Statistics. Gitnux. https://gitnux.org/smishing-statistics
Marie Larsen. "Smishing Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/smishing-statistics.
Marie Larsen. 2026. "Smishing Statistics." Gitnux. https://gitnux.org/smishing-statistics.
Sources & references
82 datasets cited across this report · attribution is report-level

