ClosedQuorum Windows malware uses Gemini, DeepSeek, Qwen, and Mistral to automate post-compromise attack decisions

Researchers say a new Windows malware called ClosedQuorum can decide for itself what to do after infecting a computer, including stealing passwords and trying to stay on the system. Cisco Talos says the Go-based implant queries Google Gemini, DeepSeek, Qwen, and Mistral in a voting system to choose among predefined actions: credential and wallet theft, shellcode-based code injection using process hollowing or Early Bird APC injection, persistence, and a currently unimplemented lateral-movement option. Stolen data is sent out through a Discord webhook.
Why it matters: This points to a practical shift toward more automated intrusions that can move faster and require less hands-on operator control once malware lands on a Windows host. Defenders should watch for Discord webhook exfiltration, unusual access to AI model APIs from endpoints, and the listed theft and injection behaviors in incident-response and endpoint-detection tooling.

Sources

This Windows Malware is Built to Let Up to Four AI Models Vote on Its Next Move
info@thehackernews.com (The Hacker News) 2026.09.23 99% relevant
This article appears to cover the same malware family and core event: a Windows malware framework that queries up to four AI models—Gemini, DeepSeek, Qwen, and Mistral—and lets them 'vote' on next actions after infection.
Windows CLOSEDQUORUM malware uses AI models to autonomously select post-compromise actions
2026.09.22 99% relevant
This article is a direct report on the same malware event, adding detail that Cisco Talos considers CLOSEDQUORUM the first publicly documented Windows implant to use LLMs for command-and-control decision making, plus specifics on its voting logic, Discord exfiltration, and post-compromise modules.
New ClosedQuorum Windows malware uses AI for attack decisions
Bill Toulas 2026.09.22 100% relevant
This article appears to be the first concrete reporting on ClosedQuorum as a distinct malware family and establishes the core facts of the campaign/tooling: the malware name, Windows target, AI-model decision architecture, and observed post-compromise capabilities.
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