Honey DB

HoneyDB is a honeypot data aggregation platform that collects and indexes attack data from distributed honeypot sensors deployed across the internet. For cyber threat intelligence analysts and OSINT investigators focused on malicious infrastructure, HoneyDB provides real-time and historical data on attacker behaviors, malicious IP addresses, and the commands executed against honeypot systems.

Honeypots are decoy systems designed to attract attackers — they have no legitimate users, so any connection to a honeypot is inherently suspicious. HoneyDB aggregates this data from multiple honeypot operators and makes it searchable via a web interface and API. Investigators can look up specific IP addresses to determine whether they have been observed interacting with honeypots, what kind of activity they engaged in (brute force, exploit attempts, scanning), and when the activity occurred.

The platform is particularly valuable for triaging suspicious IPs flagged in network logs or incident response. If an IP address in your SIEM alerts appears in HoneyDB with a history of attacking honeypots, that significantly strengthens the case for malicious intent. Conversely, the absence of an IP in honeypot data does not clear it — sophisticated attackers avoid known honeypots.

HoneyDB's API allows integration into automated threat intelligence pipelines. Analysts can programmatically query HoneyDB as part of IP enrichment workflows, feeding results into ticketing systems, SOAR platforms, or custom dashboards. The API supports JSON responses and requires an API key for higher volume access.

The platform also tracks top attacking countries, commonly targeted ports, and prevalent attack methods — useful for threat landscape reporting and executive briefings. This aggregate data helps security teams understand current attack trends without investigating individual incidents.

Document HoneyDB query results with the queried IP, result summary, and timestamp for incident reports.