VerticalSideways
Multi-Modal Steganography Attack Chaining: Human-in-the-Oops
How hidden messages in images, code, and text can slip through AI workflows—even with a human in the loop.
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VerticalSideways examines how statistical assumptions in automated classifiers can be exploited through multimodal steganography. Drawing on production-system research that led to a bug bounty, a fix, and a second bypass, the session connects image-based XSS, blind SSRF, graphical injection, and business-logic failures. It looks at what happens when automated systems and their human reviewers share the same blind spots.
For: AI security teams, bug bounty hunters, researchers, and students


