AI-Enabled Attacks
Four AI Models, One Vote: Cisco Talos Uncovers Windows Malware That Lets an LLM Panel Decide What to Steal Next
Cisco Talos disclosed CLOSEDQUORUM on September 22, describing it as the first publicly documented Windows implant to delegate tactical command-and-control decisions to a panel of commercial large language models. On each run, the malware queries up to four AI services — DeepSeek, Qwen, Mistral, and Google Gemini, reached through OpenRouter — with the infected machine's computer name, Windows version, and admin status, then asks each model to pick one of four actions: steal, inject, persist, or move. Each model must answer in a fixed format or its vote is discarded; the action with the most votes wins, and if no model returns a usable answer the malware simply retries rather than falling back to a default. Talos found the sample using CAIRN, a new open-source toolkit it released the same day for hunting AI-integrated malware by scanning metadata — prompt templates, provider API endpoints, jailbreak terms — without ever executing the binary.
The "steal" action dumps LSASS memory for Windows credentials and pulls saved passwords from Chrome, Edge, and Firefox alongside MetaMask, Exodus, and other crypto wallet data; "inject" runs code in other processes via Early Bird APC injection or process hollowing; "persist" installs three separate mechanisms — a Registry Run key, a scheduled task, and a WMI event subscription that re-checks every 60 seconds. Stolen data is encrypted, chunked into 1,900-byte pieces, and exfiltrated through Discord webhooks. Forensic priority: hunt a Registry Run value named "WindowsUpdate," a PowerShell script at C:\Windows\Temp\wmi.ps1, and WMI event subscriptions using Windows Update-themed names; capture memory before remediation to recover the model responses that drove the malware's decisions, since that log is itself an evidentiary record of attacker intent.