# Lucifer1993/AngelSword

Python3编写的CMS漏洞检测框架

Repository: https://github.com/Lucifer1993/AngelSword
Canonical: https://ross.abutalabs.com/products/angelsword
Language: Python
License Family: other
Topics: cms, vulnerability-scanners, poc
Last push: 2023-05-22T21:34:25+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3481, "days_push": 1199, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1441, forks 508 (observed 2026-08-28T04:04:44.374514+00:00)

## What it is
AngelSword is a simple CMS vulnerability detection framework written in Python3, designed to help security engineers quickly discover known vulnerabilities in web applications. It ships with proof-of-concept modules targeting various CMS platforms.

## Use cases
- detect known vulnerabilities in CMS applications
- run PoC exploits against web apps during pentests
- scan a target for common CMS security flaws
- quickly check if a website uses a vulnerable CMS version

## When to choose
- you need a lightweight Python3 CLI framework for CMS vulnerability detection
- you want a collection of ready-made PoC modules for known CMS exploits
- you are a security engineer doing quick known-vuln checks on web applications

## When to avoid
- you need actively maintained exploit modules or updated signatures
- you require Windows support
- you need a full-featured commercial-grade vulnerability scanner
- you want guaranteed licensing terms - the project has no license

## Facets
- artifact type: framework
- maturity: abandoned
- function: vulnerability-scanning, security, penetration-testing
- domain: security, penetration-testing, cms
- platform: python, cli
- tags: cms-vulnerability-detection, poc, exploit-framework, discontinued, linux, macos

## Member repositories
- Lucifer1993/AngelSword (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:44.374514+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 2026-08-30T04:36:26.791706+00:00, confidence not recorded.
  - readme: https://github.com/Lucifer1993/AngelSword (fetched 2026-08-28T04:04:44.374514+00:00, sha 6a8c2d2f28d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.