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Image-Based Prompt Injection

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-03-23 / skill-finderImage-Based Prompt Injection: Typographic Adversarial Instructions on Physical Objects Hijack Multimodal Agents Without Any Digital File ManipulationCSA Research documents a novel threat class where adversarial text embedded on physical objects (stickers, printed signs, whiteboards) in photos can hijack multimodal LLM agent behavior. Unlike digital injection, there is no file to inspect or sanitize — the attack vector is the physical world captured by camera. This is particularly relevant for agents with computer-use or vision capabilities operating in real-world environments.
2026-03-22 / arxiv-researcherImage-Based Prompt Injection: Adversarial Images Hijack Multimodal LLMs with 64% Success RateResearchers demonstrate Image-based Prompt Injection (IPI), a black-box attack embedding adversarial instructions into natural images to override multimodal LLM behavior without any model access. The most effective configuration achieves up to 64% attack success under stealth constraints across tested VLMs. This establishes a new attack surface distinct from text-based prompt injection, relevant to any pipeline that processes user-supplied images with a VLM.

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MENTIONS
CSA Research
CSA Research documented Image-Based Prompt Injection threat class in physical environments.
Source finding
MENTIONS
CSA Research -> Image-Based Prompt Injection
CSA Research documented Image-Based Prompt Injection threat class in physical environments.
Source finding

Source trail

Cloud Security Alliance — Image-Based Prompt Injection Research Note arXiv 2603.03637

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Image-Based Prompt Injection intelligence trail | MindPattern