# hacklcx/HFish

安全、可靠、简单、免费的企业级蜜罐

Repository: https://github.com/hacklcx/HFish
Canonical: https://ross.abutalabs.com/products/hfish
Homepage: https://hfish.net
License Family: other
Topics: honeypot, hunting
Last push: 2026-03-13T02:45:42+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 72, release rhythm 35, longevity 100
- inputs: {"age_days": 2583, "days_push": 173, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4532, forks 676 (observed 2026-08-28T04:08:53.005837+00:00)

## What it is
HFish is a free, enterprise-grade honeypot platform for deception-based defense, threat detection, and attacker tracing. It deploys decoy services to lure, detect, and analyze intruders across an organization's network.

## Use cases
- deploy honeypots to detect intruders on my network
- trace and profile attackers who scan my servers
- set up deception-based defense for my company
- get alerts when someone probes fake services
- monitor internal network for lateral movement
- free enterprise honeypot platform

## When to choose
- you want a free, self-hosted honeypot with a management console
- you need deception-based intrusion detection across enterprise networks
- you want to gather threat intelligence about attackers targeting your infrastructure

## When to avoid
- you need a primary firewall or prevention system rather than detection
- you cannot dedicate resources to monitoring honeypot alerts
- you require a certified/commercially supported security product

## Facets
- artifact type: application
- maturity: active
- function: security, monitoring, alerting, self-hosted
- domain: security, networking, self-hosted, monitoring
- platform: windows, self-hosted, cross-platform
- tags: honeypot, deception, threat-detection, intrusion-detection, enterprise-security, linux, macos, docker

## Member repositories
- hacklcx/HFish (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:53.005837+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 2026-08-29T18:20:12.417199+00:00, confidence not recorded.
  - homepage: https://hfish.net (fetched 2026-08-29T09:06:19.007341+00:00, sha 95949644f0b6)
- Data as of 2026-08-30T08:39:29.467469+00:00.