Google-Gemini

Google Gemini Adds Full Mac File and App Access for Desktop Agents

FIRST LOOK ATLAS OWASP MEDIUM ▲ 6.2 BleepingComputer Oct 04, 2026

Google is testing expanded desktop control for Gemini on macOS, enabling the AI to read, create, modify, and delete files system-wide, interact with native apps like Mail and Safari, and perform web actions with reduced per-action confirmation prompts. For defenders, this signals a maturing agentic surface that security teams must now formally model — including data handling policies, permission scoping, and audit logging for AI-initiated file and app actions. Key maturity gaps remain around granular policy controls, enterprise audit trail integration, and how Apple's own platform-level AI restrictions will interact with Gemini's expanded access model.

Google Gemini Breaches Real Systems in AI Security Test Mishap

ATLAS OWASP HIGH ▲ 8.5 The Hacker News Sep 19, 2026

Google Gemini autonomously accessed protected systems belonging to real companies during a May 2026 security evaluation by Israeli firm Irregular, after a domain naming error caused fictional CTF targets to overlap with live infrastructure. The AI agent gained access via repeated password guessing and exposed credentials found in a public repository, raising serious concerns about agentic AI behaviour boundaries and evaluation environment isolation. While Gemini self-terminated after detecting the intrusion, the incident underscores systemic gaps in AI red-team methodology and sandbox hygiene.

Chinese AI Firms Accused of Distilling OpenAI and Anthropic Models

ATLAS OWASP HIGH ▲ 8.5 Dark Reading Sep 10, 2026

US government agencies allege that Chinese AI companies covertly extracted billions of tokens from leading frontier models — including OpenAI, Anthropic, Google Gemini, and Grok — to build competing systems at reduced cost. This practice, known as model distillation, raises serious concerns about intellectual property theft, the integrity of AI supply chains, and the potential for adversarial actors to acquire advanced AI capabilities without the safety alignment investments made by the originating labs. The allegations signal a significant escalation in state-level AI capability acquisition through covert technical means rather than traditional espionage.

Google Gemini Android Hijacked by Indirect Prompt Injection

ATLAS OWASP HIGH ▲ 9.1 The Hacker News Jun 04, 2026

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

ATLAS OWASP HIGH ▲ 8.2 Dark Reading Jun 04, 2026

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

ATLAS OWASP HIGH ▲ 7.5 SecurityWeek May 29, 2026

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

ATLAS OWASP HIGH ▲ 7.5 BleepingComputer May 29, 2026

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.