Tuesday 3 November
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VOLTA infostealer uses an LLM to rank stolen victim data by monetisation value

Severity
High
Sources
1

describes (), a self-deleting Windows infostealer with an optional LLM triage stage that POSTs a victim evidence bundle to the OpenRouter API. The default model is anthropic/claude-opus-4.6 at temperature 0.2, with a failover chain of moonshotai/kimi-k2 and then google/gemini-2.5-flash when refusal phrases are detected. The stealer enriches data with live session access, including receipt searches, Uber Eats and DoorDash order history, token reuse, and Rolimons valuation of Roblox inventory. The articles give no CVEs and no specific defensive guidance.

For security analysts · Written by AI from 1 source · Wrong?

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Full story timeline · 1 update

  1. Sat 31 OctoberAppraisal by AI: Model-driven victim prioritization in the VOLTA infostealerCisco Talos

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Cisco Talos

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