AI BriefingNoroboto: A Lying Font and a Rust-Based Mitigation
Key point
Introducing 'Noroboto,' an attack technique that deceives both AI and users by manipulating a font's Unicode mapping.
Details
By exploiting the complexity of the modern LegalTech stack, a 'lexploit' attack is possible that induces a mismatch between visual information and actual data.
This attack, named Noroboto.ttf, manipulates a font's Unicode mapping. By leveraging the Private Use Area (PUA) of Unicode, it renders normal-looking characters on screen while the actual text data is stored as meaningless values.
The key characteristics are as follows:
- Visual Deception: By keeping the font metrics identical to the original font, the document's layout and page numbers are perfectly preserved, making it hard for users to notice.
- Data Mismatch: When a user copies the text or an AI model parses the document, the actual content appears as completely different Unicode values.
The research team tested this attack using ChatGPT and confirmed that the model could perform deobfuscation by identifying the pattern, much like solving a simple substitution cipher. This research warns of security vulnerabilities in AI-based document analysis systems and proposes a Rust-based mitigation to defend against them.
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