SafeBreach’s disclosure of Fake Context Alignment reveals a systemic weakness in how LLM assistants like Gemini ingest and prioritize external signals. By weaponizing routine notifications from WhatsApp, Slack, and SMS, attackers silently append instructions that override user intent, enabling actions from smart-home takeover to persistent memory poisoning. This extends the researchers’ earlier calendar-invite vector and mirrors broader patterns documented in indirect prompt-injection literature, where trusted channels bypass content classifiers. Google’s November 2025 patch improved detection yet left cross-app context boundaries unaddressed, a gap also flagged in NIST’s AI Risk Management Framework updates on supply-chain prompt risks. The attack surface grows exponentially as assistants integrate deeper into vehicles and homes; hands-free scenarios amplify impact because voice confirmation loops are skipped. Comparable vulnerabilities have appeared in other agents, underscoring that localized fixes cannot contain context-manipulation threats when every messaging app becomes an unvetted input channel.