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May 28, 2026

The 10 Most Looked-Up IP Addresses on Our IP Lookup Tool

Nicolas Rios
Nicolas Rios

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An IP address isn't just a number in a log file. It's a signal. It tells you where a request came from, who controls that network, whether someone is masking their origin, and whether you should treat that traffic differently.

When we looked at the most frequently searched IPs in Abstract's IP Lookup tool, the results weren't random. Clear patterns emerged — patterns that reveal exactly what developers, security engineers, and fraud teams are trying to figure out when they reach for an IP lookup tool.

Before we get into the analysis, here's the most important thing the dataset revealed: seven of the ten most-searched IPs carry either a high or medium risk level — and none of them have any confirmed malicious activity on record. That gap between "flagged for risk signals" and "confirmed abuse" is the central lesson of this list. Risk level reflects signals like proxy or VPN usage, not necessarily intent. Acting on signals intelligently — rather than reacting to them bluntly — is what separates good IP intelligence from noisy blocklists.

This article breaks down those top 10 IPs, groups them by what they represent, and explains what each pattern tells us about real-world IP investigation.

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The top 10 most searched IPs

Here's the full list before we dig into the analysis:

# IP address Organization Location Signals Risk
1 185.63.253.200 Hostpalace Datacenters Ltd Lelystad, Netherlands
Proxy
High
2 134.209.250.149 DIGITALOCEAN-ASN Frankfurt, Germany
VPNCloud
High
3 64.227.120.231 DIGITALOCEAN-ASN Frankfurt, Germany
VPNCloud
High
4 167.71.43.43 DIGITALOCEAN-ASN Frankfurt, Germany
VPNCloud
High
5 192.168.0.102 Private (RFC 1918)
Internal
Non-routable
6 111.90.150.204 Shinjiru Technology Sdn Bhd Klang, Malaysia
Proxy
High
7 45.76.33.4 AS-VULTR (Constant) Haarlem, Netherlands
VPNProxyCloud
Medium
8 192.168.7.1 Private (RFC 1918)
Internal
Non-routable
9 5.5.5.5 Telefonica Germany Seoul, South Korea
Mobile carrier
Medium
10 164.68.127.15 Contabo GmbH Nürnberg, Germany
VPNProxy
High
#1
185.63.253.200
High
Organization Hostpalace Datacenters Ltd
Location Lelystad, Netherlands
#2
134.209.250.149
High
Organization DIGITALOCEAN-ASN
Location Frankfurt, Germany
#3
64.227.120.231
High
Organization DIGITALOCEAN-ASN
Location Frankfurt, Germany
#4
167.71.43.43
High
Organization DIGITALOCEAN-ASN
Location Frankfurt, Germany
#5
192.168.0.102
Non-routable
Organization Private (RFC 1918)
Location
#6
111.90.150.204
High
Organization Shinjiru Technology Sdn Bhd
Location Klang, Malaysia
#7
45.76.33.4
Medium
Organization AS-VULTR (Constant)
Location Haarlem, Netherlands
#8
192.168.7.1
Non-routable
Organization Private (RFC 1918)
Location
#9
5.5.5.5
Medium
Organization Telefonica Germany
Location Seoul, South Korea
#10
164.68.127.15
High
Organization Contabo GmbH
Location Nürnberg, Germany

These aren't arbitrary. They cluster into three distinct categories — and each cluster tells a different story about why people are doing IP lookups in the first place.

Category 1: hosting infrastructure and VPN-flagged cloud IPs

The largest group in this list belongs to addresses associated with well-known hosting providers: DigitalOcean, Vultr, Contabo, and Hostpalace.

134.209.250.149, 64.227.120.231, and 167.71.43.43 all resolve to DIGITALOCEAN-ASN, located in Frankfurt, Germany. All three are flagged as associated with a VPN service and carry a high risk level — despite none of them having any reported history of malicious activity. 45.76.33.4 resolves to AS-VULTR (under Constant) in Haarlem, Netherlands, and is flagged for both VPN and proxy usage, with confirmed cloud/datacenter infrastructure. Its risk level is medium — lower than the others, partly because of its clean activity record. 164.68.127.15 belongs to Contabo GmbH in Nürnberg, Germany, and carries both VPN and proxy flags at high risk.

Why are people searching these?

When a request hits your API or web app from one of these ranges, the immediate question is: is this a real user or an automated process? Traffic originating from hosting providers rather than residential or corporate ISPs is a reliable signal that something programmatic is going on — a bot, a scraper, a testing script, or a deployed service running in the cloud.

That doesn't automatically mean malicious activity. Plenty of legitimate API consumers run on cloud infrastructure. But it changes how you might want to treat the request, especially if you're building rate limiting logic, abuse prevention systems, or fraud detection flows.

Knowing that an IP belongs to a hosting ASN lets you apply different trust logic — stricter verification, additional logging, or a challenge mechanism — without making assumptions about intent.

Category 2: proxy servers and anonymized traffic

Two IPs in this list are flagged specifically for proxy usage without a full VPN layer: 185.63.253.200 and 111.90.150.204.

185.63.253.200 is registered to Hostpalace Datacenters Ltd in Lelystad, Netherlands. It's flagged as using a proxy server, carries a high risk level, and — importantly — has no reported history of malicious activity. 111.90.150.204 belongs to Shinjiru Technology Sdn Bhd, a commercial hosting provider in Klang, Malaysia. Same pattern: proxy server flagged, high risk, no confirmed abuse on record.

These two are worth distinguishing from the VPN-heavy DigitalOcean addresses above. A proxy server and a VPN serve similar anonymization functions, but they operate differently. A proxy routes specific traffic through an intermediary; a VPN tunnels all traffic through an encrypted connection. Both obscure origin — but the signals they leave in an IP lookup are different, and the context matters. Abstract's proxy checker and VPN detector surface these as distinct flags precisely because the downstream decisions you make may differ.

What this tells us about real use cases

Security and fraud teams use IP lookup specifically to answer questions about anonymization. When a user accesses your application from an IP associated with a known proxy provider, that's context — context that might feed into a risk score, trigger an additional verification step, or simply get flagged for review.

A proxy or VPN detection flag doesn't mean you should automatically block the request. Plenty of legitimate users operate behind proxies or VPNs for privacy or corporate security reasons. What it means is that you have less certainty about the actual origin of the traffic — and your application logic should account for that uncertainty. For a deeper breakdown of how to build that logic, see Abstract's guide to VPN detection.

Category 3: private IPs, mobile carriers, and the ambiguous cases

The remaining three entries are the most structurally interesting — because they don't fit neatly into the hosting/anonymization narrative.

192.168.0.102 and 192.168.7.1 are RFC 1918 addresses — the private IP ranges that are never routed on the public internet. They exist only within local networks. Run a lookup on either through a public IP intelligence API and you'll get no geolocation data, no ISP, no ASN — because there's nothing to find publicly. 192.168.7.1 in particular looks like a local network gateway address, the kind of default IP you'd see on a router or internal firewall.

5.5.5.5 is a different kind of edge case. It's a fully routable public IP, currently resolving to Telefonica Germany and geolocating to Seoul, South Korea. It carries a medium risk level, is flagged as a mobile carrier network, and has no reports of malicious activity. It doesn't use a VPN, proxy, or Tor. The reason it ends up in search logs is almost certainly that it's a visually memorable, easy-to-type address — the kind that gets hardcoded into documentation, test configurations, and firewall rules, then shows up unexpectedly in logs later.

The troubleshooting use case

Why would anyone look up a private IP in an external tool? Because something appeared in a log that they didn't expect — and they're trying to figure out what it means.

This is a genuinely common scenario: a developer sees an unexpected IP in an application log, firewall event, or network trace, can't immediately place it, and turns to a lookup tool for context. When the tool returns no public data for a 192.168.x.x address, that is the answer: this is internal traffic, a misconfigured request, or a test artifact that made its way somewhere it shouldn't be.

Recognizing a private IP range for what it is can be just as operationally useful as a full geolocation response.

Resolving unexpected logged private IP

What these searches tell us about IP lookup in practice

Pull back from the individual IPs and the picture becomes clear: people aren't using IP lookup to confirm what city a user is in. They're using it to answer higher-order questions.

Is this traffic from a real user or an automated system? Hosting ASN data answers this. If the IP resolves to DigitalOcean, Vultr, or Contabo, you're almost certainly dealing with a programmatic actor of some kind.

Is this person trying to obscure where they're coming from? Proxy and VPN flags answer this. You still don't know intent — but you know the origin is masked, which affects how much trust you extend to that session.

Why is this IP showing up in my logs at all? Private IP and RFC 1918 detection answers this. Sometimes the most valuable output from a lookup is simply "this is internal traffic — it shouldn't be reaching an external service."

Should I treat this request differently? Context answers this. The combination of geolocation, ASN type, risk level, and anonymization signals gives your application the intelligence to make a smarter decision than any binary allow/block rule could.

From manual lookup to programmatic intelligence

Running one-off lookups is useful for investigation and debugging. But the real value comes when you integrate IP intelligence directly into your application logic — at login, at signup, at checkout, or on any endpoint where understanding the origin of a request changes what you do next.

The same signals available in manual lookups — geolocation, ASN data, VPN and proxy detection, risk level, mobile carrier flags — are available programmatically through Abstract's IP Geolocation API and IP Intelligence API. A single API call returns everything you need to enrich a login event, flag a high-risk signup, or route traffic through a different verification flow.

For teams building fraud detection, abuse prevention, or traffic analysis features, that means the investigation workflow you'd run manually can be automated at the point of request — before a suspicious session ever reaches your application logic. The IP geolocation guides cover the most common implementation patterns.

Conclusion: IP lookup is about context, not just location

The most-searched IPs in Abstract's lookup tool confirm something security and product teams have known for a while: geolocation is just the starting point. What people actually need is context — the kind that tells them whether traffic is coming from a legitimate user, an automated system, a masked origin, or an internal artifact that made its way somewhere it shouldn't.

Hosting ASNs, proxy flags, VPN detection, private IP recognition, mobile carrier signals — these are what make IP intelligence actionable. The next time an unexpected IP appears in your logs, the right question isn't "where is this from?" It's "what does this tell me about the traffic, and what should I do about it?"

Look up any IP with Abstract's free IP Lookup tool — or get your free API key to start integrating IP intelligence into your own application.

Nicolas Rios
Nicolas Rios

CEO at Abstract API

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