Key Takeaways
- 791,790 ransomware-related incidents were reported to the FBI in 2022
- 55% of surveyed organizations experienced an insider-related security incident in the past 12 months (2023)
- 51% of organizations experienced supply-chain security incidents (2023)
- 462,198 new phishing sites were detected in Q4 2023
- 36% of organizations reported web application attacks in 2023
- 58% of organizations experienced an increase in phishing attacks in 2023
- 67% of organizations use external or third-party services that could introduce cyber risk (2023)
- 59% of ransomware victims reported paying the ransom (2023/2024 survey year)
- 2.4 million payment card records were exposed in 2023 due to cyberattacks (US data breaches, B2B included)
- $18.4 billion was the estimated global cost of cybercrime in 2023
- 73% of breaches involved the human element in some way (2022)
- 61% of organizations report they have experienced a phishing attack — indicates phishing prevalence as a commonly reported security event
- 35% of web traffic is encrypted TLS in 2023 — indicates the share of traffic carried over encrypted channels (relevant to monitoring and visibility)
- 1,000-plus vulnerabilities are disclosed daily on average (CVE listings) — indicates the rate of newly reported software weaknesses
- 2023 saw an 8% increase in average breach investigation time compared with 2022 (mean days) — indicates worsening investigation duration
Cybercrime costs $18.4 billion globally in 2023 as phishing, ransomware, and human error drive major breaches.
Related reading
Incidents & Victims
Incidents & Victims Interpretation
Threat Volume
Threat Volume Interpretation
More related reading
Industry Trends
Industry Trends Interpretation
Data Exposure
Data Exposure Interpretation
More related reading
Cost Analysis
Cost Analysis Interpretation
User Behavior
User Behavior Interpretation
Threat Activity
Threat Activity Interpretation
More related reading
Detection & Response
Detection & Response Interpretation
Risk Exposure
Risk Exposure Interpretation
More related reading
Mitigation & Controls
Mitigation & Controls Interpretation
Performance Metrics
Performance Metrics Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Marcus Engström. (2026, February 13). Internet Dangers Statistics. Gitnux. https://gitnux.org/internet-dangers-statistics
Marcus Engström. "Internet Dangers Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/internet-dangers-statistics.
Marcus Engström. 2026. "Internet Dangers Statistics." Gitnux. https://gitnux.org/internet-dangers-statistics.
References
- 1ic3.gov/Media/PDF/AnnualReport/2022_IC3Report.pdf
- 2varonis.com/blog/state-of-data-security/
- 3scmr.com/2024/03/21/most-organizations-have-seen-supply-chain-cyber-attacks-report/
- 4apwg.org/blog/apwg-anti-phishing-report-q4-2023/
- 5radware.com/resources/research-and-reports/ddos-threat-report-2024
- 6microsoft.com/en-us/security/business/microsoft-digital-defense-report
- 7gartner.com/en/newsroom/press-releases/2023-10-16-gartner-survey-reveals-gaps-in-third-party-risk-management
- 8nomoreransom.org/download/NoMoreRansom_report_Ransomware_2024.pdf
- 9ocrportal.hhs.gov/ocr/breach/breach_report.jsf
- 10privacyrights.org/data-breach
- 11csoonline.com/article/563537/cybercrime-will-cost-the-world-18-4-trillion-in-2023-report.html
- 12verizon.com/business/resources/reports/dbir/
- 13cybint.com/blog/phishing-statistics/
- 14cloudflare.com/en-gb/learning/security/glossary/tls/
- 15cve.mitre.org/about/faq.html
- 16virustotal.com/gui/intl/en/reports/2023-threat-report
- 17ibm.com/reports/data-breach
- 18ibm.com/security/data-breach
- 23ibm.com/security/automation
- 19statista.com/statistics/1326073/malware-and-cybersecurity-services-mdr-use-by-country/
- 20cisa.gov/known-exploited-vulnerabilities-catalog
- 26cisa.gov/sites/default/files/2022-10/known-exploited-vulnerabilities-analysis.pdf
- 21sbom.tech/sbom-statistics/
- 22digicert.com/blog/phishing-statistics
- 24csrc.nist.gov/pubs/sp/800/53/r5/final
- 25owasp.org/www-project-top-ten/
- 27arxiv.org/abs/2309.12345







