The malware calls itself "Volta-Autodoxer" internally.
After collecting data from a device, it assembles a dossier and sends it to large language models through OpenRouter, a service that routes prompts to different AI providers.
The prompt tells the model to act as a forensic intelligence analyst and produce a structured, citation-backed assessment of the victim.
Talos did not track whether Volta has been used in the wild.
The malware class has been used to steal hundreds of millions of credentials.
Cisco Talos researcher Ryan Fetterman says that identifying high-value targets faster improves an attacker's odds of using stolen credentials or authentication tokens before passwords are changed or tokens expire.
He also says more advanced capabilities are reaching less sophisticated attackers.
CrowdStrike recently told WIRED it had seen four hacking groups using AI tools to compromise dozens of targets worldwide.
Volta runs a broad first sweep of a device, then a deeper second pass. By searching a victim's Gmail or another central account, it uses receipts and order history from services such as UberEats and DoorDash to build a picture of the person's location and habits. Its prompt asks the model for an executive summary, what the person is worth, and an assessment of their operational security, and to connect details across fields, such as checking whether a Wi-Fi password matches a surname. Requests default to Anthropic's Claude Opus 4.6, with fallbacks to Moonshot AI's Kimi K2 and then Google's Gemini 2.5 Flash, apparently in case guardrails block the request. The malware still works without AI, and Fetterman says clues suggest it may have been built to sell to multiple attackers. Talos identified it using its CAIRN framework, which is designed to find hacking tools with AI features.