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Hackers are leveraging commercial LLMs like Claude and GPT-4.1 not to create novel malware, but to accelerate traditional intrusion workflows by automating script repair and data exfiltration logic. This shift reduces the time required to maintain persistence in compromised networks, particularly when initial access vectors or command executions fail. The finding underscores that AI currently serves as a force multiplier for threat actors rather than a source of entirely new attack signatures.

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Hackers Use Claude and GPT-Powered Tools to Help Breach Government and Financial Networks

Cybersecurity NewsSeptember 10, 20264 min read

Hackers have used commercial AI models to help break into government, transport and financial networks across Latin America. The activity shows how chat-based tools can speed up familiar intrusion work, from fixing faulty scripts to moving stolen information out of a compromised system. The campaigns did not rely on a new AI-built malware family alone. […] The post Hackers Use Claude and GPT-Powered Tools to Help Breach Government and Financial Networks appeared first on Cyber Security News.

Hackers have used commercial AI models to help break into government, transport and financial networks across Latin America. The activity shows how chat-based tools can speed up familiar intrusion work, from fixing faulty scripts to moving stolen information out of a compromised system. The campaigns did not rely on a new AI-built malware family alone. One operation abused legitimate Windows utilities and repeated batch scripts, while another used job-themed phishing, remote-access malware and a proxy tool…

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