Unveiling a Novel AI Attack: Image-Based Data Theft
Researchers from Trail of Bits, Kikimora Morozova and Suha Sabi Hussain, have revealed a critical vulnerability where malicious prompts in images can infiltrate AI systems. This innovative attack exploits downscaled images, unnoticed by users, but detectable through specific resampling algorithms.
Key Insights:
- Mechanism: Full-resolution images harbor hidden instructions becoming visible when downscaled.
- Impact: Successfully exfiltrated sensitive data, including Google Calendar details, using AI tools.
- Affected Systems:
- Google Gemini CLI
- Vertex AI Studio
- Google Assistant & more
To combat this threat, the researchers recommend:
- Implementing dimension restrictions on image uploads.
- Requesting user confirmation for sensitive operations.
This attack showcases the need for heightened awareness in AI security practices.
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