Security researchers detailed attacks in Japan where threat actors utilized AI agent workflows, open-source penetration testing frameworks, and LLMs to coordinate intrusions, generate localized phishing pages, and assist server targeting.
In one of the cases analyzed, researchers identified three Internet hotspots used for malicious activities in Japan. The first of these attacks relied on a special tool that leverages dozens of different artificial intelligence programs to automate the entire process of an attack, from identifying security vulnerabilities to intercepting data and creating fake login pages in Japanese. This activity affected dozens of organizations in a short period of time.
In a second case, AI helped people design an attack on a geospatial data server, which resulted in the theft of files and login credentials. A third similar operation used technology to create custom tools to attack network devices and servers.
At the same time, research shows that the use of automated AI systems by attackers is also observed in other regions of the world, such as in attacks against universities and businesses in various countries. Experts point out that the technology acts as a force multiplier, allowing attackers to perform actions with greater speed and autonomy without requiring the same technical expertise that was needed in the past.
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