WhoisXML API Blog

What Are Lookalike Domains and How to Detect Them

Can you quickly spot the difference between these two domains: whoisxmlapi[.]com and whoisxrnlapi[.]com? Took you a few seconds, didn’t it? Your eyes can deceive you, and that’s exactly what threat actors hope for when they use lookalike domains. 

Lookalike domains are one of the most effective tools cybercriminals use in modern cyberattacks, tricking people into thinking that they are visiting a legit website or receiving an official business email. 

In this post, we explore what lookalike domains are, how dangerous they can be, and how organizations can detect and protect against them.

5 Domain Name Scams Targeting Website Owners

Your domain name is one of the most valuable digital assets you own. It is your address and a central hub for your business, and because of this, your domain name is a prime target for opportunistic scammers. 

It’s not just about stealing a domain name from you — there are other types of domain name scams. In this post, we discuss some of the most pervasive domain name scams, detailing how each of them works and the steps you can take to avoid falling victim to them. 

October 2025: Domain Activity Highlights

WhoisXML API analyzed 9.6+ million domains registered between 1 and 31 October 2025 to identify the most popular registrars, top-level domain (TLD) extensions, and other global domain registration trends.

We also determined the top TLD extensions used by 38.7+ billion domains from our DNS database’s A record full file dated 4 October 2025.

Next, we studied the top TLDs of 1.1+ million domains detected as indicators of compromise (IoCs) this month.

Finally, we summed up our findings and provided links to the threat reports produced using DNS and domain intelligence sources during the period.

September 2025: Domain Activity Highlights

WhoisXML API analyzed 8.7+ million domains registered between 1 and 30 September 2025 to identify the most popular registrars, top-level domain (TLD) extensions, and other global domain registration trends.

We also determined the top TLD extensions used by 42.1+ billion domains from our DNS database’s A record full file dated 4 September 2025.

Next, we studied the top TLDs of 1.0+ million domains detected as indicators of compromise (IoCs) this month.

Finally, we summed up our findings and provided links to the threat reports produced using DNS and domain intelligence sources during the period.

First Watch Detection Precision Now Exceeds 98%, Further Cutting False Positives by 45%

WhoisXML API is proud to announce that the false positive rate of its First Watch Malicious Domains Data Feed went down from 3% to 1.66%. This significant reduction in false alarms translates directly into a more efficient, reliable, and trustworthy predictive threat intelligence solution for users, allowing them to block upcoming threats with higher confidence and fewer interruptions.

WhoisXML API Introduces Domain Info API — A Modern Way to Access WHOIS Data

WhoisXML API announces the launch of the Domain Info API, a new cyber intelligence solution designed to deliver a single, enriched WHOIS record for any active or expired domain name by leveraging WhoisXML API’s massive historical WHOIS database. The Domain Info API automatically fills in WHOIS fields that are redacted or missing for any domain name, using the latest available historical data.

The WHOIS Command on Windows, Linux, and macOS Explained

This post breaks down the whois command — how it works, how to use it, the data points it provides, the parameters you can use with it, and its limitations. We also suggest some tools and techniques that can help you work around the tool’s limitations.

8 Best MCP Servers for Cybersecurity Professionals

As people explore more ways to use AI, it’s natural that they want to extend its reach by connecting it with other tools. This is done through the Model Context Protocol (MCP) servers — special tools that allow AI applications like Claude or Gemini to interact with external APIs using a unified standard protocol.

With an MCP server in place, your LLM can access data and services it normally couldn’t reach on its own. By bridging the gap between AI and external apps, MCP servers make it possible to handle complex, data-driven tasks with ease. This is why a growing number of web applications and SaaS platforms from very different industries — from marketing to legal and compliance — are rolling out their own MCP servers.

In this post, we’re looking at eight of the best MCP servers for different cybersecurity needs.