# c0ny1/upload-labs

一个想帮你总结所有类型的上传漏洞的靶场

Repository: https://github.com/c0ny1/upload-labs
Canonical: https://ross.abutalabs.com/products/upload-labs
Language: PHP
License Family: other
Last push: 2023-06-26T12:37:14+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3022, "days_push": 1164, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- 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 4190, forks 826 (observed 2026-08-28T04:08:38.821013+00:00)

## What it is
A PHP-based deliberately vulnerable training range (CTF-style lab) that collects 20 levels of file upload vulnerabilities found in penetration testing and CTF challenges. It helps learners systematically understand and practice exploiting different types of upload vulnerabilities.

## Use cases
- practice exploiting file upload vulnerabilities
- learn web security through hands-on CTF challenges
- train penetration testing skills on upload bypass techniques
- set up a local vulnerable lab for security education
- study how different upload filtering mechanisms can be bypassed

## When to choose
- you want hands-on practice with file upload vulnerabilities in a safe lab
- you are preparing for CTF competitions or pentest certifications
- you are teaching or learning web security concepts around uploads

## When to avoid
- you need a production-ready secure file upload solution
- you want a modern framework rather than a legacy PHP 5.x lab
- you are looking for automated vulnerability scanning rather than manual practice

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: security, penetration-testing
- domain: security, penetration-testing, education, web-development
- platform: php, windows, self-hosted
- tags: vulnerable-app, ctf, file-upload-vulnerabilities, security-training, wargame, pentest-lab, docker, linux

## Member repositories
- c0ny1/upload-labs (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:38.821013+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 2026-08-29T18:22:36.172475+00:00, confidence not recorded.
  - readme: https://github.com/c0ny1/upload-labs (fetched 2026-08-28T04:08:38.821013+00:00, sha cb33a33071e1)
- Data as of 2026-08-30T08:39:29.467469+00:00.