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This malware concept demonstrates a critical security shift where threat actors leverage generative AI models to autonomously select attack vectors like data exfiltration or privilege escalation without human command. While the specific sample remains in research phases with no confirmed wild deployment, it highlights emerging risks associated with integrating LLMs into adversarial decision loops. Security teams must now consider how to mitigate potential misuse of public APIs for automated cyber operations.
This Malware Doesn’t Wait for Hackers—It Asks AI Models What to Do Next
A Windows malware sample called CLOSEDQUORUM can choose its next move without waiting for an attacker to send instructions. Once configured and deployed, it asks AI models whether to steal data, hide in a process, or maintain access. The decision maker no longer needs a dedicated control server. The sample emerged from research into software […] The post This Malware Doesn’t Wait for Hackers—It Asks AI Models What to Do Next appeared first on Cyber Security News.
A Windows malware sample called CLOSEDQUORUM can choose its next move without waiting for an attacker to send instructions. Once configured and deployed, it asks AI models whether to steal data, hide in a process, or maintain access. The decision maker no longer needs a dedicated control server. The sample emerged from research into software that uses AI during an attack. Its delivery route is unknown; operators apparently deploy customized copies themselves, rather than relying on a single known campaign. There is no confirmed deployment in the wild, so reported capabilities…
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