GCD AI RADAR
incidents/AIR-2026-1396

MobileInject Cross-Modal Consistency Injection Against Mobile Agents

Attack on AI1 Research / proof of conceptPrompt injection

Researchers presented MobileInject to evaluate how multimodal large language model mobile agents are vulnerable to indirect cross-modal prompt injection. The attack embeds malicious instructions within cross-application smartphone content to steer agent behavior.

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Prompt injection
    Untrusted content (web pages, documents, emails, tool output) steers a model into ignoring its instructions.
owasp llm top 10
mitre atlas
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
1 · Research / proof of concept
Demonstrated by researchers; no known real-world exploitation.
targets
Framework / tooling, Individuals
products
MobileInject, Mobile MLLM Agents
incident date
19 Oct 2026
first reported
19 Oct 2026
origin
News & research feeds
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
multimodal · prompt-injection · mobile-agents · mllm
record
created 2026-10-19 05:07Z · updated 2026-10-19 05:07Z · json

Sources · 1

  1. 2026-10-19
    MobileInject: Evaluating Reasoning-to-Action Security of MLLM-Based Mobile Agents under Cross-Modal Consistency Injection
    arXiv · arxiv.org/abs/2610.23307

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