AI Agents Used to Compromise 85 Taiwan Government Accounts in 4 Days

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A multi-agent software framework was used to automate a four-day operation from 1 July to 4 July 2026 against government systems in Asia, according to Dream Group. The Financial Times identified the target as Taiwan, while Taiwan’s Ministry of Digital Affairs later confirmed an AI-assisted attack on government agencies in July. Dream documented 12 attack waves, 21 connected government systems, 85 cracked employee accounts and at least 2,564 extracted personnel records.

Researchers from Dream Research Labs discovered an archive spanning more than 160MB and containing 1,395 files from the attackers’ operational workspace. The framework was built around the open-source AI agents Hermes created by Nous Research and OpenClaw and could deploy up to eight sub-agents simultaneously, assigning them different targets and attack techniques.

How the Attack Worked

The framework began by mapping government infrastructure through publicly accessible web code, discovering APIs, authentication configurations, and an unauthenticated database containing employee names,...

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