Google Gemini Voice Assistant Exposed to Notification-Based Prompt Injection
SafeBreach disclosed indirect prompt injection attacks against Google Gemini’s Android voice assistant that abuse its notification-reading capability to ingest malicious instructions from third-party apps including WhatsApp, Slack, Signal, Instagram, Messenger, and SMS. The researchers said crafted notifications can silently poison Gemini’s conversational context and manipulate responses without the user’s awareness, allowing attackers to present benign-looking content while embedding hidden or obfuscated prompts that the assistant interprets as trusted instructions.
SafeBreach said its Fake Context Alignment technique bypassed Google’s earlier mitigations by using foreign-language text, muted hyperlinks, and other concealed prompt formats to trick backend authorization logic into treating a victim’s normal reply as approval for sensitive actions. Demonstrated impacts included phishing and social engineering using trusted contact names, smart home control, URL opening, Zoom or other cross-app actions, covert camera streaming, persistent memory poisoning across Google Workspace, and recurring surveillance tasks; Google said classifier improvements deployed after the August 2025 report mitigated the indirect prompt injection and delayed tool invocation scenarios described.
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3 events from the most recent confirmed update back to the earliest known activity.
SafeBreach publicly discloses Gemini notification injection research
SafeBreach publicly disclosed its research on indirect prompt injection attacks against Google Gemini on Android, showing exploitation via notifications from apps including WhatsApp, Slack, Signal, Instagram, Messenger, and SMS. The disclosure also described the Fake Context Alignment bypass and demonstrated impacts such as smart home control, Zoom invocation, phishing, and persistent memory poisoning.
Google says classifier updates mitigated the reported Gemini issues
Google stated that updated content classifier improvements mitigated the indirect prompt injection and delayed tool invocation scenarios described by SafeBreach. This response was cited by both sources as Google's status update on the reported issues.
SafeBreach reports Gemini prompt injection issues to Google
SafeBreach reported notification-based indirect prompt injection vulnerabilities affecting Google Gemini to Google's Vulnerability Reward Program. The report covered attacks delivered through third-party app notifications and a mitigation bypass technique later called Fake Context Alignment.
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Fake Context Alignment: The Attack That Made Gemini Obey Strangers Through Your Notifications - Security Affairs
securityaffairs.com
Open sourceAndroid Gemini prompt injection flaw patched by Google | brief | SC Media
scworld.com
Open sourceMalicious WhatsApp, Slack Alerts Could Have Exposed Millions of Android Users
techrepublic.com
Open sourceResearchers Show How Android Notifications Could Be Used to Manipulate Google Gemini - CySecurity News - Latest Information Security and Hacking Incidents
cysecurity.news
Open sourceNew Google Gemini Vulnerability Exploited via Prompt Injections from WhatsApp, Slack, and SMS
cybersecuritynews.com
Open sourceExploiting Gemini via Prompt Injection | SafeBreach Original Research
safebreach.com
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Google Gemini Indirect Prompt Injection via Calendar Invites Leaks Private Schedule Data
Researchers reported an **indirect prompt-injection** issue in *Google Gemini*’s integration with **Google Calendar** that allows a malicious calendar invite to act as a dormant instruction payload. By crafting natural-language directives in an event’s description field, an attacker can cause Gemini—when later asked routine questions like “What’s my schedule today?”—to ingest the attacker-controlled event content and follow embedded instructions that result in **exfiltration of private calendar details** (e.g., summarizing private meetings) into attacker-visible locations such as a newly created calendar event description. Both reports attribute the finding to **Miggo Security**, describing how the attack can bypass expected privacy controls by exploiting Gemini’s helpful behavior of parsing and acting on calendar data. The technique does not require traditional code execution; it relies on Gemini interpreting attacker-supplied text as instructions, enabling outcomes such as leaking sensitive meeting information and creating deceptive events. This highlights a broader risk pattern for LLM assistants embedded in productivity suites: attacker-controlled content in first-party data fields (like invites) can be weaponized to manipulate the assistant’s actions and data handling.
Mar 21, 2026
GeminiJack No-Click Prompt Injection Vulnerability in Google Gemini Enterprise
Google addressed a critical vulnerability in its Gemini Enterprise AI assistant, identified as GeminiJack, which allowed attackers to exfiltrate sensitive corporate data through a no-click prompt injection attack. Discovered by Noma Labs, the flaw enabled malicious actors to embed hidden instructions within commonly shared documents, calendar invites, or emails. When an employee performed a standard search using Gemini Enterprise, the AI could automatically retrieve and execute these hidden instructions, granting attackers access to confidential information without any user interaction or warning. The vulnerability stemmed from an architectural weakness in how Gemini Enterprise and Vertex AI Search interpret and process information across integrated Workspace data sources, including Gmail, Calendar, and Docs. Attackers could leverage this flaw to extract entire document stores, calendar histories, and years of email records by simply embedding indirect prompt injections in shared artifacts. Google has since fixed the issue following responsible disclosure by Noma Security, highlighting the risks associated with integrating AI assistants into enterprise environments without robust safeguards against prompt injection attacks.
Mar 21, 2026
Google Chrome Gemini AI Agent Enhanced to Counter Prompt Injection Attacks
Google has acknowledged the significant risk of prompt injection attacks targeting its Gemini-powered Chrome browsing agent, which can be manipulated to perform unauthorized actions such as initiating financial transactions or exfiltrating sensitive data. In response, Google has introduced a second AI model, termed the 'user alignment critic,' designed to independently vet the agent's proposed actions before execution. This model operates in isolation from untrusted web content, providing an additional layer of defense against both goal hijacking and data leakage. The move comes as prompt injection has been identified as a leading vulnerability in AI systems, with industry bodies like OWASP and the UK's National Cyber Security Centre highlighting its prevalence and difficulty to mitigate due to the structural limitations of large language models. The Gemini-powered browsing agent, currently in preview, is capable of navigating websites, clicking buttons, and filling forms while users are logged into sensitive accounts, increasing the potential impact of successful attacks. Security experts and analysts have emphasized the need for robust safeguards, as malicious instructions can be hidden in web pages, iframes, or user-generated content. Google's dual-model approach aims to address these concerns by ensuring that any action not aligned with the user's intent is blocked, thereby reducing the risk of exploitation through prompt injection. The development reflects a broader industry trend of reassessing the security of AI-driven browsers and the need for advanced countermeasures to protect users and organizations from emerging threats.
Mar 21, 2026