# hongriSec/PHP-Audit-Labs

一个关于PHP的代码审计项目

Repository: https://github.com/hongriSec/PHP-Audit-Labs
Canonical: https://ross.abutalabs.com/products/php-audit-labs
Language: PHP
License Family: other
Last push: 2019-09-17T08:24:27+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2974, "days_push": 2542, "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 1910, forks 335 (observed 2026-08-28T04:05:53.137361+00:00)

## What it is
A Chinese-language tutorial series on PHP code auditing by HongRi Security, covering common PHP function pitfalls and vulnerabilities in frameworks like ThinkPHP5. It includes CTF practice challenges deployable via Docker.

## Use cases
- learn php code auditing
- study common php function vulnerabilities
- practice ctf web security challenges
- understand thinkphp5 sql injection vulnerabilities
- learn deserialization attacks in php
- find php security learning materials in chinese

## When to choose
- you want structured lessons on PHP vulnerability patterns with real CMS examples
- you need hands-on CTF labs to practice code auditing
- you are studying ThinkPHP5 framework vulnerabilities

## When to avoid
- you need an automated static analysis or auditing tool rather than tutorials
- you need actively updated content for modern PHP versions
- you cannot read Chinese-language material

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: security, penetration-testing, vulnerability-scanning, developer-tools
- domain: security, tutorials, web-development, education
- platform: php, cross-platform
- tags: code-audit, php-security, ctf, vulnerability-analysis, thinkphp, sql-injection, deserialization, chinese-language, docker

## Member repositories
- hongriSec/PHP-Audit-Labs (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:53.137361+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 2026-08-30T03:11:04.165987+00:00, confidence not recorded.
  - readme: https://github.com/hongriSec/PHP-Audit-Labs (fetched 2026-08-28T04:05:53.137361+00:00, sha fb0dc8062911)
- Data as of 2026-08-30T08:39:29.467469+00:00.