Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
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Updated
Apr 15, 2025 - Python
Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation
Golang string typosquatting generator
A quick script to spot the usage of Unicode Bidi (bidirectional) characters that could lead to an Invisible Backdoor
Keyed reversible source code obfuscator for Rust: syntactically valid, functionally identical, spiritually hostile.
Squatm3gator is a complete web solution based on the python tool squatm3, designed to enumerate available domains generated modifying the original domain name through different cybersquatting techniques
Typosquatting tool that supports OSINT investigations, and designed to operate on multilingual target domains.
This is a python version of samesame repo to generate homograph strings
Homoglyphs: get similar letters, convert to ASCII, detect possible languages and UTF-8 group.
The world's first font-by-font confusables dataset: which Unicode characters look alike, measured from the outlines of 322 fonts at the size people read them. CC BY, used in Mozilla's add-on name checks.
Given a TLD zone file, PhishCanary extracts International Domain Names (IDNs) that are homoglyphs of specified target domain names.
Is this name really free? Checks usernames and slugs across your tables and reserved names, and against lookalikes of names you protect, using the world's first font-by-font confusables dataset. Zero dependencies.
Detecting homoglyph (IDN homograph) phishing domains by rendering domain names as images and classifying them with an attention-based CNN. Includes a 2.5M-image real-vs-homoglyph dataset (on Hugging Face) and the paper's training pipeline.
Homoglyphic makes it easy to find strings in a body of text which contains homoglyphs to bypass regular string matching. Useful for simplifying spam/phishing detection, content moderation and scrubbing text used for training ML models.
Research-only AI watermark & provenance robustness toolkit: local reverse proxy (OpenAI/Anthropic/Gemini) + CLI stripping C2PA/EXIF/XMP, zero-width & homoglyph Unicode, KGW text watermarks, DWT/Tree-Ring image stego, AudioSeal, PDF/DOCX/PPTX/XLSX metadata, and Trojan Source (CVE-2021-42574) code scanning.
a fast, non-dependent tool/library to detect, decode, and remove hidden unicode-based ai tracking markers, steganography, invisible characters, homoglyphs, and even byte anomalies from any text.
ᙏáḱє ‡ɘχτ !η ẃɨŧ¢н-ħ∅υѕé ѕ†ɏƖε (Ɛñ9ĺïś♄ & Řᵾśѕ!áη)
Unicode spoofing detection: mixed-script words, UTS #39 confusables, invisible characters, and combining-mark abuse. Zero runtime dependencies.
This is a project which aims to identify Social-Engineering in the domain of digital-forensics & cyber-security. The first approach is to find an abuse of the graphical-similiarity of strings.
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