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Google Sues Chinese Smishing Network Accused of Using Gemini AI in Phishing

thehackernews.com 2026-06-13 malicious AI use Critical

What Happened

Google on Friday said it's pursuing legal action against a Chinese cybercrime network, accusing it of using its Gemini artificial intelligence (AI) agent to send phishing text messages targeting Americans. The network is said to be behind the development and management of a phishing-as-a-service (PhaaS) software kit called Outsider, per the tech giant. "The operation weaponized Gemini to help

Why It Matters

According to Google’s lawsuit, a China-based cybercrime group known as Outsider Enterprise used AI tools, including Google’s Gemini, to generate phishing website code and spam messages as part of a large-scale phishing-as-a-service operation, creating thousands of fake sites and over a million fraudulent URLs targeting U.S. users.[1][2][3] Reports state the group also sent millions of smishing texts with malicious links to steal personal information from hundreds of thousands of victims.[3] From a CyberSE.AI perspective, this illustrates how general-purpose AI agents can be systematically weaponized to industrialize phishing and smishing campaigns, lowering the technical bar for abuse and increasing operational scale. Organizations should respond by continuously red-teaming AI-supported attack scenarios, hardening their own AI agent designs against misuse, and enforcing clear internal policies on AI-assisted code and content generation to detect and mitigate similar AI-powered phishing ecosystems.

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CyberSE Analysis

This signal maps to malicious AI use. Organizations using AI agents, LLM APIs, SaaS integrations, or sensitive data workflows should review whether this class of issue could create unauthorized tool execution, data leakage, weak approval gates, or unmanaged supply-chain exposure.

Recommended Actions

  • Restrict AI agent tool permissions and production write paths.
  • Review sensitive data access across prompts, logs, embeddings, memory, and SaaS integrations.
  • Add human approval workflows for high-impact or state-changing actions.
  • Run prompt injection and indirect prompt injection tests against affected workflows.
  • Document the owner, control gap, and remediation deadline for this risk class.

Source

https://thehackernews.com/2026/06/google-sues-chinese-smishing-network.html

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