The Good Tech Companies

Inside 30 Days of Residential Proxy Data: Patterns, Risks, and Surprising Insights


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This story was originally published on HackerNoon at: https://hackernoon.com/inside-30-days-of-residential-proxy-data-patterns-risks-and-surprising-insights.


30 days of residential proxy data reveal patterns in IP reuse, top countries, ISPs, IPv6 adoption, and churn—shaping better fraud detection.
Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity.
You can also check exclusive content about #residential-proxy-detection, #ipinfo-proxy-data, #ipv4-vs-ipv6-proxies, #proxy-ip-churn, #top-proxy-countries, #isp-proxy-activity, #fraud-prevention-ip-data, #good-company, and more.


This story was written by: @ipinfo. Learn more about this writer by checking @ipinfo's about page,
and for more stories, please visit hackernoon.com.


Analyzing 26M+ residential proxy IPs over 30 days, IPinfo uncovers key trends: 45% of IPs span multiple providers, Brazil and the US lead usage, 10 ISPs power 20% of supply, IPv4 dominates over IPv6, and high churn keeps networks dynamic. These insights help security teams refresh blocklists, score risks, and detect proxies with greater accuracy.

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The Good Tech CompaniesBy HackerNoon