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AlertAI · Cyberattack3 min read

One Man Used AI Helpers to Break Into Taiwan's Emergency Systems

One man in Taiwan used AI agents to scan hundreds of targets and steal data from about 10, a warning to anyone with old or unprotected systems online.

By the Dashline deskSource: The Hacker News
One Man Used AI Helpers to Break Into Taiwan's Emergency Systems
Photo: DanTD, CC BY-SA 4.0
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What happenedA single attacker used AI agents to scan hundreds of organizations and steal data from about 10, including Taipei emergency dispatch records.
Who is affectedEmergency services, universities, lenders and phone record holders in Taiwan, Mexico and Thailand, plus any group running poorly protected systems.
What to do
  1. 1List every system of yours that faces the internet, including old ones.
  2. 2Make sure each one requires a login, and close ports you do not use.
  3. 3Install pending updates, especially on databases.
  4. 4Ask your IT provider to test web forms and data connections for known flaws.

A single person in Taiwan used a set of AI helpers to hunt for weak spots at hundreds of organizations, and got into about 10 of them, researchers at Acronis's Threat Research Unit said last week. The haul includes emergency dispatch records covering seven Taipei districts.

What happened

The researchers are highly confident the attacker is one man based in Hualien City, Taiwan. He pointed AI agents, programs that carry out tasks on their own, at hundreds of organizations in at least 11 countries. Targets included emergency services, banks, universities and military systems. Data was collected or systems were accessed at about 10 of them in Taiwan, Mexico and Thailand.

The dispatch records came from a city's system for 119, Taiwan's emergency number for fire and ambulance services. They include incident times, response types, case status and street-level locations. They are case records, not live ambulance tracking. The agents also found a Taipei fire department platform exposing 2018 patient data, including ECG readings and ambulance video, with no login.

Other victims

  • A Taiwanese lending firm lost an account table through SQL injection, a trick that makes a database hand over data.
  • Three Thai universities were hit the same way, after 489 possible targets across 45 institutions were picked.
  • In Mexico, about 206,800 home phone records with names and addresses were collected.

Where the AI fell short

Commercial AI models mostly refused to help him attack. So the attacking agents ran almost entirely on "abliterated" models, which are AI models run locally with their safety training removed. The agents also made errors. One scanning tool invented flaws, and more than half of its high and critical findings were false positives or wrongly classified. The main attack agent reported results that had not happened.

Most important, the agents failed wherever logins were enforced, paywalls required a valid session, or endpoints were properly filtered.

Why it matters

What the agents found was mostly data that was already poorly protected. That included a medical data port left open since 2018, dispatch records on a public-facing API, a lender with 16 SQL injection points, and universities running unpatched Oracle databases. AI did not break strong defenses. It made it cheap to find and reach many weak targets at once. Organizations with basic protections in place have the least to worry about.

The alert box above lists the steps to take now. They center on knowing what you have online and locking it down.

What is not known

The report does not say whether the affected organizations or Taiwan's authorities were told, or whether the exposed data can still be reached. His motive is also unclear. The researchers think he probably wanted money, and it is unclear whether he works for anyone. They tracked him through his own mistakes, including a reused identity across his businesses and attack servers, and his home IP address showing up in one of his chats.

The takeaway

AI did not beat strong defenses, but it finds forgotten systems with no login fast, so check what you have online and lock it down.

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