Team Idea
Neural Trapper is an active defense platform that upgrades static honeytokens into dynamic, generative decoys. Traditional deception tools rely on rigid dummy files that experienced attackers easily spot and bypass. When an intruder probes our lightweight honeypot, the system intercepts the request and evaluates their intent. An LLM running on AMD hardware instantly hallucinates a tailored, realistic decoy to keep the attacker hooked. Intruders get trapped in a synthetic sandbox, wasting valuable time while revealing their tools and methods. Every interaction and payload variation is captured and streamed live to a centralized cloud database. Defenders receive immediate alerts and forensic telemetry on a Flutter dashboard before real assets are touched.
Team Members
Unknown Hacker
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