# pureqh/Hyacinth

一款java漏洞集合工具

Repository: https://github.com/pureqh/Hyacinth
Canonical: https://ross.abutalabs.com/products/hyacinth
License Family: other
Last push: 2026-01-13T08:48:28+00:00

## Health v2 (maintenance only)
Score: 55/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 62, release rhythm 33, longevity 77
- inputs: {"age_days": 1083, "days_push": 232, "days_rel": 232, "gap_med": 184.5, "n_releases_24m": 3}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1144, forks 75 (observed 2026-08-28T04:03:45.186394+00:00)

## What it is
Hyacinth is a Java-based GUI tool that bundles detection and exploitation modules for common Java vulnerabilities such as Struts2, Fast, Weblogic, Shiro, Log4j, JBoss, and SpringCloud. It also includes a webshell generation module (Bypass) with payload obfuscation for WAF evasion, designed for red team and attack-defense exercises.

## Use cases
- detect and exploit java deserialization vulnerabilities
- brute force shiro keys
- generate obfuscated webshells to bypass waf
- test struts2 and fast vulnerabilities
- consolidate multiple exploit jars into one gui tool
- red team attack-defense exercise toolkit

## When to choose
- you need an all-in-one GUI for common Java vulnerability exploitation during authorized penetration tests
- you want payload obfuscation to evade WAFs
- you work on Windows or macOS and want a ready-to-run jar

## When to avoid
- you need a stable, licensed, production security product
- you require support for very recent JDK runtimes without quirks
- you need automated CI-based vulnerability scanning rather than manual exploitation

## Facets
- artifact type: application
- maturity: active
- function: penetration-testing, security, gui
- domain: security, penetration-testing, developer-tools
- platform: windows, jvm, cross-platform
- tags: vulnerability-exploitation, red-team, webshell-generator, waf-bypass, java-deserialization, macos, desktop

## Member repositories
- pureqh/Hyacinth (main) score 55

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.186394+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 2026-08-30T06:34:45.608674+00:00, confidence not recorded.
  - readme: https://github.com/pureqh/Hyacinth (fetched 2026-08-28T04:03:45.186394+00:00, sha 3fdce5bd4bd4)
- Data as of 2026-08-30T08:39:29.467469+00:00.