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rakib-nyc / nullorigin

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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.

python privacy reverse-proxy provenance exif steganography digital-forensics watermarking adversarial-machine-learning security-research homoglyph watermark-removal c2pa llm metadata-removal content-credentials synthid trojan-source unicode-security ai-watermarking
  • Updated Aug 16, 2026
  • Python

giriaryan694-a11y / SMUGGLR

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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. 🔓

cybersecurity steganography web-security zero-dependency offensive-security red-team data-hiding social-engineering security-research client-side-security browser-security invisible-characters payload-obfuscation zero-width-characters text-obfuscation unicode-security unicode-steganography homoglyph-attacks whitespace-ciphers encoding-exploitation
  • Updated May 13, 2026
  • HTML

balyakin / refraction

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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.

go cli golang security obfuscation ci static-analysis software-supply-chain sarif security-tools devsecops code-scanning sast ai-security supply-chain-security prompt-injection llm-security trojan-source unicode-security offline-scanner
  • Updated Jun 18, 2026
  • Go

giriaryan694-a11y / TrustNoChar

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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. 🛡️👁️

cybersecurity web-security zero-dependency offensive-security typosquatting red-team social-engineering security-research security-awareness browser-security font-rendering domain-security url-analysis phishing-analysis unicode-security homoglyph-attacks idn-spoofing visual-deception unicode-exploitation human-factor-security
  • Updated May 14, 2026
  • HTML

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