unicode-security

Mojibake is a low-level Unicode library written in C11.

AI-detector auditing toolkit: measures how often a detector flags genuine human writing, how stable its verdict is across seeds, and whether that verdict survives meaning-preserving edits. Detector-in-the-loop measurement harness. Claude Code skill + Python CLI. MIT.

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.

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.

SMUGGLR is a browser-based Unicode steganography and text obfuscation toolkit for experimenting with invisible characters, homoglyphs, whitespace ciphers, and Unicode-based payload hiding techniques — all fully client-side with zero network calls. 🔓

Detect and neutralize Unicode concealment codepoints in MCP tool metadata (covert-channel control). AGPL-3.0-or-later.

Reveal and remove hidden Unicode such as zero-width spaces, look-alike whitespace, and bidi controls. Runs locally.

Detect, decode and remove hidden Unicode: invisible text, ASCII smuggling, homoglyphs, Trojan Source bidi and prompt injection. Python library, CLI and GitHub Action for LLM, code and AI agent security.

Unicode Homoglyph Detector — Offensive Unicode Security Analysis

A specialized tool that generates highly obfuscated BIP custom derivation paths and passphrases. It uses layered noise (emojis, multi-script characters, and controlled entropy) to create an additional hidden (plausible deniability) protection layer in case a mnemonic seed is exposed

Deterministic offline scanner for repositories and package artifacts, detecting prompt injection, refusal bait, Trojan Source, obfuscation, and supply-chain anti-analysis before AI code review.

Audit whether an AI tool approval view faithfully represents its raw payload.

Deterministic Unicode 17 text integrity tools for software and Agents.

Zero-dependency heuristic scanner for prompt-injection indicators in untrusted text, for the boundary of LLM agent pipelines.

Phishing-domain detection from Certificate Transparency logs, with a measured false-positive rate. Deterministic: UTS#39 homoglyph skeletons, weighted edit distance, combosquat segmentation. No ML.

Unicode Spoof and Homoglyph Detection for MoonBit (UTS #39)

'İGNORE'.lower() != 'ignore'. Turkish case-folding & Unicode confusables bypass naive prompt-injection filters 94.6% of the time — measured, with dataset + a one-line NFKC fix.

TrustNoChar is a zero-dependency browser-based lab that demonstrates how Unicode homoglyphs and typosquatting attacks exploit human visual perception. It transforms text into deceptive lookalike variants in real time to help researchers, red teams, and security learners study phishing, rendering quirks, and cognitive security risks. 🛡️👁️

SE·EMU is a browser-based social engineering simulation designed to help cybersecurity learners understand and practice the human side of offensive security.