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This incident highlights a critical shift in threat landscapes where attackers leverage AI coding assistants like Claude Code to automate penetration testing, inadvertently leaking their proprietary workflows and tool configurations. The exposure of these artifacts provides researchers with unique visibility into the operational methods of advanced persistent threats targeting financial infrastructure. Ultimately, this underscores that while AI accelerates offensive capabilities, it simultaneously creates new attack surfaces through the accidental disclosure of sensitive operational data.
Hackers Target South Korean Banks With AI, Then Accidentally Expose Their Own Attack Tools
Hackers linked to AI-assisted attacks on South Korean banks left parts of their own infrastructure open, giving researchers a view of their tools and preparations. The exposed files showed a wider operation involving cryptocurrency theft tools, Linux attacks, and mobile security testing beyond the banking campaign. Public reporting cited in the investigation said the breaches […] The post Hackers Target South Korean Banks With AI, Then Accidentally Expose Their Own Attack Tools appeared first on Cyber Security News.
Hackers linked to AI-assisted attacks on South Korean banks left parts of their own infrastructure open, giving researchers a view of their tools and preparations. The exposed files showed a wider operation involving cryptocurrency theft tools, Linux attacks, and mobile security testing beyond the banking campaign. Public reporting cited in the investigation said the breaches exposed personal information belonging to at least 68,000 people across at least seven…
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