# paralax/awesome-honeypots

an awesome list of honeypot resources

Repository: https://github.com/paralax/awesome-honeypots
Canonical: https://ross.abutalabs.com/products/awesome-honeypots
Language: Python
License: Artistic-2.0
License Family: other
Topics: honeypot, awesome-list, awesome, list, honeyd
Last push: 2026-06-01T14:15:45+00:00

## Health v2 (maintenance only)
Score: 70/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 85, release rhythm 35, longevity 100
- inputs: {"age_days": 4094, "days_push": 93, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 10534, forks 1374 (observed 2026-08-28T04:10:42.253913+00:00)

## What it is
A curated awesome list of honeypot tools, resources, and related components for network and security deception, organized into categories like database, web, and service honeypots. It focuses on free and open-source projects with links to guides and analysis tools.

## Use cases
- find open source honeypots to deploy
- set up a honeypot to catch attackers
- learn about deception-based security tools
- find an Elasticsearch or MySQL honeypot
- research tools for analyzing attacker activity
- build a threat intelligence feed from honeypot data

## When to choose
- you want a curated directory of honeypot software and guides
- you are researching which honeypot fits a specific service or protocol
- you need free and open-source deception tools

## When to avoid
- you need a single ready-to-run honeypot product rather than a list
- you want commercial honeypot support or managed services

## Facets
- artifact type: learning-resource
- maturity: active
- function: security, monitoring, developer-tools
- domain: security, awesome-lists, networking, penetration-testing
- platform: self-hosted, python
- tags: honeypot, curated-list, intrusion-detection, deception, threat-intelligence, linux

## Member repositories
- paralax/awesome-honeypots (main) score 70

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:42.253913+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:18:33.979463+00:00, confidence not recorded.
  - readme: https://github.com/paralax/awesome-honeypots (fetched 2026-08-28T04:10:42.253913+00:00, sha 76212400e14e)
- Data as of 2026-08-30T08:39:29.467469+00:00.