HotPot: open-source research honeypot targets bots, attackers and AI agents

Summary

A GitHub repository called kvviingu/HotPot describes a research honeypot built to attract bots, human attackers and autonomous AI agents. According to the listing, it includes a real-shell SSH and Telnet container, web pages and AI-agent bait such as MCP, A2A and llms.txt, plus decoy services. It also bundles Suricata intrusion detection and a local threat-intelligence dashboard. The repository shows 0 stars, so its adoption so far appears limited.

AI-assisted summary based on the listed source.

What happened

Research honeypot for bots, human attackers and autonomous AI agents: real-shell SSH/Telnet container, web and AI-agent bait (MCP, A2A, llms.txt), decoy services, Suricata IDS, and a local threat-intel dashboard. Stars: 0. Updated repository signal.

Why it matters

Security researchers and teams running internet-facing systems may find this useful for studying how autonomous agents probe and attack networks. Watch whether the project gains real-world use and how its AI-agent bait compares with traditional honeypot designs.

Source transparency

GitHub github.com github https://vqv.me/g0UKW

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Signal Intelligence

Signal Strength 95% Technical label SOURCE-BACKED Public Interest 24 Category OPEN SOURCE Reader Depth TECHNICAL

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Public Interest components

Recognizable Entity Score 0 Practical Impact Score 16 Novelty Interest Score 70 Consequence Score 18 Curiosity Score 16 Shareability Score 24

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