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 Homoglyph Detector

Detect Unicode spoofing attempts, confusable characters, mixed scripts, and potential phishing domains in text, usernames, domains, URLs, and email addresses. All analysis runs locally in your browser for privacy.

🔎 Detection Scope
⚙️ Analysis Options
🛡️ Risk Summary
Risk Level Low
Suspicious Characters 0
Mixed-Script Tokens 0
Type Coverage General text
Suspicious characters are highlighted and annotated with likely ASCII counterparts.
Position Character Unicode Script Looks Like Context Why Misleading
No suspicious homoglyphs detected yet.

⭐ Homoglyph Detector - Unicode Security Analysis

The Homoglyph Detector is a Unicode security tool that helps you detect confusable characters, mixed-script strings, and potential spoofing attempts in domains, URLs, email addresses, usernames, and general text. It is designed for phishing domain checker workflows, homograph attack detection, and day-to-day Unicode analysis.

🔎 What this homoglyph detector checks

  • Confusable characters that visually resemble Latin letters, numbers, or symbols
  • Unicode spoofing detection in domains, URLs, and email addresses
  • IDN security risks and possible homograph attack detector signals
  • Mixed script detection (Latin, Cyrillic, Greek, and more)
  • Character-by-character code point analysis with Unicode references
  • ASCII normalization where practical for safer comparison

⚙️ How risk assessment works

The tool calculates risk as Low, Medium, or High based on:

  • How many suspicious confusable characters are found
  • Whether mixed scripts appear in the same token
  • Whether suspicious patterns occur in sensitive contexts such as domains, URLs, emails, or usernames
  • Whether strict mixed-script mode is enabled

⭐ Why confusable characters are dangerous

Unicode enables many scripts and symbols, which is useful but can also be abused. Attackers can replace normal Latin characters with visually similar ones so text appears legitimate at a glance. For example, a spoofed domain may look like a trusted brand while actually using Cyrillic or Greek characters.

🔎 Example of a possible spoofing pattern

Displayed text: paypaI.com

Potential issue: The final character may be uppercase I (eye) instead of lowercase l (ell).

Another pattern: microsоft.com where о is Cyrillic instead of Latin o.

⚠️ Important notes

  • This tool provides detection signals, not legal attribution or guaranteed malicious verdicts
  • Not every non-Latin character is malicious; many are valid in legitimate multilingual content
  • For high-risk findings, verify domains and senders through trusted channels
  • All processing runs in your browser, so your data stays private

🔒 Privacy-first unicode analysis

This unicode security tool performs all homoglyph detection locally in your browser. Nothing is uploaded, stored, or transmitted, which makes it suitable for sensitive text and internal security reviews.

This tool is also known as

  • homoglyph detector
  • unicode spoofing detection
  • phishing domain checker
  • homograph attack detector
  • domain spoofing checker

Frequently Asked Questions

A homoglyph detector identifies characters that look visually similar to common Latin letters, numbers, or symbols. It helps detect Unicode spoofing and confusable characters in domains, URLs, emails, usernames, and text.

Unicode spoofing detection is used to find deceptive character substitutions in phishing links, fake domains, misleading usernames, and impersonation attempts where text looks legitimate but contains different Unicode code points.

It scans your input for known confusable characters, identifies script usage per token, flags mixed-script strings, and assigns a risk level based on suspicious character count and where those characters appear.

Yes. It acts as a phishing domain checker by inspecting domain-like strings for IDN homograph attack patterns, mixed scripts, and lookalike Unicode characters.

Yes. The analyzer supports domain names, URLs, email addresses, usernames, and general text in one interface.

Mixed script detection means identifying tokens that combine scripts such as Latin + Cyrillic or Latin + Greek. In sensitive identifiers like domains and usernames, this can be a warning sign.

Low means minimal suspicious signals, Medium means notable spoofing indicators, and High means multiple strong indicators such as suspicious characters in sensitive strings plus mixed-script usage.

It is a best-effort conversion that maps known confusable Unicode characters to ASCII lookalikes so you can compare suspicious text against a safer normalized version.

Yes. The detailed analysis table includes each detected suspicious character with its Unicode code point (for example U+043E), script, and likely ASCII counterpart.

No. Some multilingual text is completely legitimate. The output is a security signal to help review suspicious content, not a definitive malicious verdict.

No. All processing happens entirely in your browser for privacy. Your input text is not uploaded.

Yes. You can copy the report and export results as TXT or JSON for documentation, incident response, or collaboration.

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