Professors Hide Traps in PDFs to Snag ChatGPT Users — I Built the Detector That Finds Them
White text in a PDF assignment whispers to ChatGPT: praise my cat. Thirty-three students got caught. Here's the tool that spots these stealth attacks before they bite.
⚡ Key Takeaways
- PDF structure analysis trumps ML for detecting hidden prompt injections — it's language-agnostic and catches all real-world traps. 𝕏
- Professors' white-text tricks caught 39% of a class; now spreading to resumes and papers. 𝕏
- Open-source pdf-injection-scanner offers devs a CLI weapon in the AI cheating arms race. 𝕏
Worth sharing?
Get the best Open Source stories of the week in your inbox — no noise, no spam.
Originally reported by Dev.to
Related Stories
Security & Privacy
IPI-Scanner: Your AI's First Line Against Invisible Poison in the Data Stream
AI & Machine Learning
The Browser Tool Crushing AI Detectors: Zipf's Law Trumps Perplexity
Security & Privacy
Security Testing Wake-Up Call: Why Teams Ship Vulns and Regret It Later
Security & Privacy