IP reputation score: what it measures and how to read it

Originally published on proxymint.

An IP reputation score rates how risky an address looks from blocklists, abuse reports and network type. How each scale works and how proxy IPs score.

TL;DR

• An IP reputation score is one vendor's risk rating for one address. It blends blocklist listings, abuse reports, the network type and past behaviour, and every vendor uses its own scale.
• The scales point in different directions. Cloudflare's bot score marks automation at the low end, while IPQS, AbuseIPDB and Akamai mark risk at the high end, and Talos answers in words.
• Proxy categories read differently. Datacenter exits carry a hosting label, static ISP addresses build their own history, rotating residential exits change too often for per-IP history to dominate, and mobile exits sit behind CGNAT.
• Check from the exit, not the dashboard. An IP lookup through the proxy, an ASN query and a DNSBL query from a resolver you control show what a target sees.

Key takeaways

• Read every number next to its scale. Note the vendor, the direction of the scale and its own threshold before you act on a score.
• Keep email and web verdicts apart. A Talos rating or a Spamhaus PBL entry answers an email question, not whether a page loads through the proxy.
• Match the category to the layer that flags you. A hosting-ASN rejection needs a different category; a bot score problem lives in the client.
• Sample rotating exits instead of trusting one lookup. Check 20 to 30 addresses and read the spread, and recheck a static address after a week of real traffic.

Read the full guide on proxymint, with the commands, tables and sources.