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Google Gemini Android Hijacked by Indirect Prompt Injection

Google Gemini Android Hijacked by Indirect Prompt Injection

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 The Hacker News

SafeBreach researcher Or Yair demonstrated that malicious text embedded in WhatsApp, Slack, SMS, or Signal notifications could trigger indirect prompt injection against Google Gemini's Android Utilities feature, causing the assistant to execute real device actions without user awareness. A novel bypass technique called 'Fake Context Alignment' defeated Google's post-patch authorization checks by exploiting multilingual obfuscation and muted hyperlinks to trick victims into authorising sensitive actions. Google has patched the issue, but the research exposes a fundamentally large attack surface where any app capable of pushing a notification becomes a potential injection vector.

Google Gemini Voice Prompt Injection via Notifications

Google Gemini Voice Prompt Injection via Notifications

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

A prompt injection vulnerability in Google Gemini's voice assistant allows attackers to embed malicious instructions within device notifications, which the assistant then processes as legitimate commands. This attack vector enables social engineering, unauthorized actions, and potential data exfiltration without direct user interaction with the malicious payload. The flaw highlights the growing risk of indirect prompt injection in ambient AI assistants that consume untrusted content from the surrounding environment.

GreyVibe Deploys ChatGPT and Gemini in LLM Attack Chain

GreyVibe Deploys ChatGPT and Gemini in LLM Attack Chain

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 SecurityWeek

WithSecure has documented GreyVibe, a Russia-nexus threat actor systematically deploying ChatGPT, Google Gemini, and Ideogram AI across every phase of its attack chain — from phishing lure creation to custom malware development — against Ukrainian targets since August 2025. The group's LLM-assisted malware, LegionRelay, contained design flaws introduced during AI-generated development, which paradoxically allowed researchers to track the group over an extended period. The case illustrates both the operational leverage AI provides to moderately skilled threat actors and the novel forensic signatures that AI-assisted development can inadvertently introduce.

GreyVibe Uses ChatGPT and Gemini for Ukraine Cyberespionage

GreyVibe Uses ChatGPT and Gemini for Ukraine Cyberespionage

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 BleepingComputer

A likely Russian threat group dubbed GreyVibe has been actively using commercial LLMs — including ChatGPT and Google Gemini — to generate high-quality phishing lures, malware tooling, and social-engineering content targeting Ukrainian military, government, and civilian organisations. WithSecure researchers identified LLM artefact markers embedded in campaign imagery, confirming AI-assisted content generation at scale. The case represents a concrete, documented example of adversarial LLM weaponisation in an active nation-state-adjacent cyberespionage campaign.

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