🛡️ Why TypoGuard?

In today’s digital landscape, brand protection is often a "pay-to-play" game. Major corporations spend thousands on enterprise-grade software to monitor domain spoofing, while startups and SMBs are left vulnerable.

Typosquatting isn't just a nuisance; it's the foundation for sophisticated phishing attacks, credential harvesting, and brand reputation damage. I built TypoGuard to level the playing field, providing professional-grade detection accessible to everyone.

🚀 What it does

TypoGuard is a heuristic-driven security engine designed to identify potentially malicious "look-alike" domains in seconds. Instead of simple keyword matching, our tool uses advanced algorithms to spot:

• Homoglyphs: Characters that look identical (e.g., using a Cyrillic 'а' instead of a Latin 'a').

• Typos & Omissions: Common keyboard slips that users make every day.

• Combosquatting: Adding malicious keywords (e.g., yourbrand-login.com or secure-yourbrand.com).

• Swaps & Bitsquatting: Subtle character rotations and bit-level variations used by attackers.

✨ Key Features

• Instant Heuristic Scanner: Enter your domain and get an immediate risk report. No waiting, no complex setup.

• Real-Time DNS Monitoring: For premium users, we track new registrations 24/7 and alert you the moment a suspicious domain goes live.

• Actionable Insights: We don't just give you a list of domains; we help you understand which ones are active, which ones have MX records (ready for phishing emails), and which ones are parked.

• Designed for Tech Teams: Clean UI, fast results, and a focus on the data that matters for security professionals and brand owners.

🛠️ The Tech Behind the Tool

TypoGuard doesn't just "guess." It systematically generates thousands of permutations based on known attack vectors and queries global DNS registries to see what’s actually live. We focus on reducing noise so you can focus on genuine threats.

👋 About the Maker

I'm a developer and security enthusiast who believes that the web is safer when everyone has access to the right tools. TypoGuard started as a personal project to solve a real pain point, and I’m constantly refining the detection engine based on community feedback.

💬 I need your feedback!

I’m launching on Peerlist because I value the technical feedback of this community.

• How accurate is the scanner for your brand?

• What additional detection vectors should I add?

• Are there specific integrations (Slack, Discord, Webhooks) that would make your life easier?