IntelOwl: manage your Threat Intelligence at scale
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Updated
Nov 3, 2026 - Python
IntelOwl: manage your Threat Intelligence at scale
OWASP Honeypot, Automated Deception Framework.
HASH (HTTP Agnostic Software Honeypot)
A low/zero interaction ssh authentication logging honeypot
Built a mini HoneyNet in Azure and ingest log sources from various resources into a Log Analytics workspace
🛡️ Zero-config hardware honeypot on a single ESP32-S3 — fake RTSP/HTTP/Telnet/SSH/FTP traps that capture attacker credentials, MAC/vendor & User-Agent, with Telegram alerts and a dark-mode dashboard. Pure ESP-IDF / C, no cloud, no Raspberry Pi.
A structured list of honeypots software that allows quickly searches.
Low-interaction OT/ICS honeynet that emulates a fake industrial plant (Modbus + S7) and maps live attackers in real time.
Internet-facing honeynet: T-Pot, Wazuh, Zeek/Suricata, Telegram + VirusTotal alerting and a sandboxed malware pipeline into a REMnux vault
Adaptive multi-layered honeynet architecture for threat behavior analysis via machine learning, selective escalation, and deception-driven telemetry.
Real-time cloud honeypot and threat observatory capturing internet attacks, analyzing adversary behavior, producing threat intelligence, and mapping activity to MITRE ATT&CK.
A easy to deploy docker based honeynet / honeypot C2 for easy logging and testing.
A lightweight, dynamic CLI honeypot designed to simulate vulnerable services and trap malicious actors. Perfect for threat detection, research, and intrusion analysis on micro or resource-constrained systems.
🍯 Two-node healthcare honeynet on Azure (a fake HR SaaS and a fake hospital EMR): 14 lure services, a real-time SOC dashboard, and lateral-movement detection.
Tweaked scripts for the deployment of Dionaea through MHN
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