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Hackers use 12 AI agents to attack hundreds of organizations in 11 countries

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Security vendor Acronis's threat research team disclosed on November 4 that an operator believed to be located in Hualien, Taiwan, assembled BOSSAI, an attack network of 12 AI agents, which over 12 days attacked hundreds of organizations in 11 countries, with targets including government emergency services, banks, universities, and military systems; Taiwan was the most heavily attacked, and about 10 organizations in Taiwan, Mexico, and Thailand were confirmed to have been breached or to have had data leaked. The agents stole dispatch records covering seven districts from the Taipei 119 emergency dispatch system API, including incident times, response types, and street-level locations; a Taipei City Fire Department emergency patient care records platform that had been accessible without login since 2018 was also breached, leaking electrocardiograms, ambulance images, and patients' personal records. From a misconfigured exposed development environment, the researchers obtained more than 90,000 files, about 9 GB of logs, agent conversations, and credentials, and used them to reconstruct the architecture: 9 of the agents were actually operational, did not communicate directly with one another, and had their outputs passed manually by the operator, invoking penetration-testing tools via an MCP server; the attack core ran on a local model with safety alignment removed, while commercial models such as Grok, Claude Code, and Codex were mostly used to build and maintain the infrastructure.

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Nov 9
  1. The Hacker NewsSelected
    Acronis report: Taiwanese hacker used BOSSAI agents to steal Taipei emergency dispatch records

    Acronis Threat Research Unit reports that an attacker believed to be located in Hualien City, Taiwan, operated a network of AI agents named BOSSAI (12 agents, 9 put into use), attacking hundreds of organizations in at least 11 countries and stealing dispatch records covering seven districts from the API of Taipei's 119 emergency dispatch system, including incident times, response types and street-level locations. The agents also found a platform of the Taipei fire department that has been accessible without login since 2018, exposing ECG readings and ambulance video; the attacks succeeded against about 10 organizations in Taiwan, Mexico and Thailand, including about 206,800 residential phone records containing names and addresses in Mexico and data from three universities in Thailand. Commercial models mostly refused to assist with the attacks; Grok and MiniMax M3 both refused when directly asked to attack, so the attack agents ran almost entirely on locally hosted abliterated models with safety training removed (modified versions of DeepSeek, GLM and Qwen).

  2. iThome (Taiwan)
    Acronis exposes operational details of the AI automated attack system BOSSAI, integrating 12 AI agents, MCP and Skills

    Security vendor Acronis Threat Research Unit (TRU) disclosed that an AI attack architecture named BossAI targeted Taiwan's emergency services systems and hundreds of organizations in 11 countries worldwide, operated by an attacker believed to be located in Hualien City, Taiwan, integrating 12 AI agents, chaining penetration testing tools through MCP, and using a local AI model with safety restrictions removed to carry out attacks. Researchers obtained more than 90,000 files and approximately 9GB of data from a suspected misconfigured development environment, and used this to reconstruct how the architecture operated. During the investigation, 9 agents were actually operational, with no direct communication among them, and the attacker manually passed work results between them; the attacker also used Skills to save attack workflows and experience, among which gov-api-penetration, targeting Taiwan government fire dispatch and emergency management APIs, was used 51 times and modified 57 times. Hermes generated 18,311 messages across approximately 95 work stages, of which 83.5% were tool calls and execution results; more than half of the high-risk and critical weaknesses reported by HalberdStrike were false positives or misclassifications.

  3. iThome (Taiwan)Selected
    AI automated attack system BossAI targets Taiwan emergency response services

    Security vendor Acronis disclosed on November 4 the AI-automated attack system BossAI: an attacker located in Hualien, Taiwan, used 12 AI agents to attack hundreds of organizations in 11 countries within 12 days, with Taiwan the most heavily attacked region and emergency response services the main target. The agents divided the work of infrastructure setup, vulnerability scanning, penetration testing and exploitation, and connected security tools such as Nmap, sqlmap and Metasploit through an MCP server. The emergency patient care records platform of the Taipei City Fire Department was breached, leaking electrocardiograms, ambulance footage and patient vital signs dating from 2018, and the 119 emergency dispatch system also had case records from 7 administrative districts obtained. Acronis noted that commercial models were used only to build and maintain the attack infrastructure, while the actual attacks were mainly carried out by modified versions of DeepSeek, GLM and Qwen with safety restrictions removed, among which Hermes was the primary attack agent, able to automatically perform asset reconnaissance, vulnerability analysis and exploitation.

Nov 6
Nov 5
  1. Cyber PressSelected
    Hackers deployed the BOSSAI network composed of 12 AI agents, attacking hundreds of organizations worldwide

    The Acronis Threat Research Unit (TRU) disclosed that one operator used the BOSSAI network composed of 12 AI agents to attack hundreds of organizations in 11 countries, with targets including government emergency services, banks, universities, military systems, e-commerce websites and gambling platforms. The operation was discovered due to a misconfigured exposed development environment, which contained more than 90,000 files, 9GB of logs, agent conversations, exploitation tools, credentials and victim data. The main attacks were carried out by Hermes, with about 95 sessions and 18,311 messages, invoking sqlmap, nmap and nikto through a Kali Linux server. The agents did not communicate with each other, and the operator had to manually copy results from one agent to another. Commercial models refused to assist with the attacks; Grok 4.5 and MiniMax M3 required written authorization and were used only to set up infrastructure; the attack agents ran on local open-source models with safety controls removed.

  2. CybersecuritynewsSelected
    A hacker used 12 AI agents to breach Taiwan's emergency services systems and steal sensitive data

    The Acronis threat research team disclosed an attack campaign codenamed BOSSAI: an operator in Taiwan assembled 12 AI agents (9 active) to attack hundreds of organizations in 11 countries, with confirmed theft of medical data and personal records. Grok, OpenClaw, Claude Code, Codex and others were responsible for setting up servers and proxies, while Hermes, Cursor and others were responsible for scanning and carrying out attacks; the operator manually passed results between agents, and the agents invoked security tools via MCP servers such as HexStrike AI. A Taipei fire department patient care platform exposed ECG readings, ambulance video and vital signs dating from 2018 without requiring login; about 206,800 residential phone records were collected in Mexico; and data from 3 of 45 universities in Thailand was pulled. Grok 4.5 and MiniMax M3 refused to assist with the attack, and the operator switched to local models with safety restrictions removed, but more than half of the high-severity findings from the scanner HalberdStrike were false positives.

Nov 4
  1. AcronisSelected
    BOSSAI: inside the AI agent attack grid targeting Taiwan's emergency services

    The Acronis Threat Research Unit (TRU) disclosed that a Taiwan-based operator used a BOSSAI grid of 12 AI agents to launch sustained attacks against hundreds of organizations in 11 countries, including government emergency services, banks, universities and military systems, with about 10 targets confirmed compromised or with data exfiltrated. The core of the attack ran on locally hosted DeepSeek-V4, GLM and Qwen models with safety alignment removed; commercial models such as Grok 4.5 and MiniMax M3 repeatedly refused attack requests and were mainly used to set up and maintain infrastructure. Taiwan was hit hardest, involving case records from a fire and emergency medical records platform and the 119 dispatch system; the operation against Mexico collected about 206,800 resident phone records. The report also documented agent hallucinations and false positives, with more than half of HalberdStrike's high-severity and critical vulnerability findings being false positives or misclassifications.

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