LLM Honeypot vs. Cryptojacking: Understanding the Enemy

This blog post by Mario Candela (founder of Beelzebub) demonstrates how an LLM‑powered honeypot captured and analyzed a cryptojacking attack. The attacker’s bot first cleared competing malware (killing processes like `xmrig`, `cnrig`), changed the root password, then downloaded and executed a script from `c3pool.org` to install the XMRig miner for Monero (XMR). The honeypot used was Beelzebub – a low‑code, AI‑native framework configured as an SSH LLM honeypot (with GPT‑4o as the backend). The bot’s commands revealed system reconnaissance (OS, uptime, GPU/CPU specs, network) followed by deployment of the miner connecting to the attacker’s wallet. The author traced the public wallet address to a mining pool, finding that 20 XMR (≈$4,126) had been paid out. He reported the wallet to the c3pool team, who removed all infected miners. The post concludes by promoting Beelzebub’s managed platform for security deception, automated AI red teaming, and real‑time malware analysis. 

https://beelzebub.ai/blog/llm-honeypot-vs-cryptojacking-understanding-the-enemy

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