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Php Crlf Audit

Community
0xShe
php-crlf-audit

PHP Web 源码 CRLF/响应分割审计工具。识别用户输入进入 HTTP 响应头,分析换行/控制字符过滤与编码,输出分级、PoC 与修复建议(禁止省略)。

Overview

Publisher0xShe
RepositoryPHP-Code-Audit-Skill
Skill namephp-crlf-audit
Stars
406
Forks
42
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 0xShe on GitHub. Read the source before you install it.

Installation

Install the Php Crlf Audit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/0xShe/PHP-Code-Audit-Skill/tree/main/php-crlf-audit
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/0xShe/PHP-Code-Audit-Skill.git /tmp/PHP-Code-Audit-Skill
mkdir -p .claude/skills
cp -r /tmp/PHP-Code-Audit-Skill/php-crlf-audit .claude/skills/php-crlf-audit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Php Crlf Audit in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Php Crlf Audit on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Php Crlf Audit is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

PHP CRLF 响应分割审计(php-crlf-audit)

分析 PHP 项目源码,识别用户可控数据是否进入响应头(header)、Cookie、或其他可被浏览器/中间件解释为新头,从而造成响应拆分、缓存投毒或重定向劫持。

分级与编号

  • 详见:shared/SEVERITY_RATING.md
  • 漏洞编号:{C/H/M/L}-CRLF-{序号}

必检 Sink(强制)

识别以下点:

  • header() 的 header 值参数含用户输入
  • setcookie() 的 cookie name/value/domain/path 中含用户输入
  • 输出到自定义 header 的函数/封装(最终仍调用 header)
  • 返回 body 内拼接到 HTTP 响应头(少见,但仍需在代码中证据化)

必检过滤与归一化(强制)

必须输出:

  • 是否对 \r、\n 做了拒绝或清洗
  • 是否对可见控制字符进行了处理
  • 是否进行了 URL 编码/转义(但注意:错误的“部分过滤”可能绕过)

PoC(强制)

  • 必须给出真实路由与可控字段名
  • payload 必须体现 CRLF:%0d%0a(或 \r\n)并说明预期效果(如注入 Location 或自定义 header)

报告输出

{output_path}/vuln_audit/crlf_{timestamp}.md

条目模板(强制)

必须包含:位置证据 + 数据流链 + 可利用前置条件 + PoC + 修复建议 + 代码搜索语句。

证据引用(强制:来自 php-route-tracer)

每条 CRLF/响应分割疑似漏洞必须逐项引用 trace 输出中 ## 9) Sink Evidence Type Checklist 的 CRLF 行对应证据要点(允许状态为待验证,但证据引用必须存在):

  1. EVID_CRLF_OUTPUT_POINT:响应头/ Cookie 输出点位置证据(header/setcookie 等最终输出位置)
  2. EVID_CRLF_USER_INPUT_INTO_HEADER_COOKIE:用户输入进入 header/cookie 值的证据(包含控制字符进入点)
  3. EVID_CRLF_CONTROL_CHAR_FILTERING_ENCODING:\r\n 或控制字符过滤/编码证据(拒绝/清洗/编码实现的对应片段)

tracer 证据缺失处理(强制)

  • 若无法定位上述 1~3 任一关键证据要点:该漏洞状态只能标记为 ⚠️待验证,不得直接给出 ✅已确认可利用。

Frequently asked questions

What does the Php Crlf Audit AI skill do?

PHP Web 源码 CRLF/响应分割审计工具。识别用户输入进入 HTTP 响应头,分析换行/控制字符过滤与编码,输出分级、PoC 与修复建议(禁止省略)。

Why use Php Crlf Audit on TypingMind?

Because you install it once and use it with any model. Php Crlf Audit is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Php Crlf Audit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/0xShe/PHP-Code-Audit-Skill/tree/main/php-crlf-audit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Php Crlf Audit?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Php Crlf Audit?

As many as you like. As long as a model supports skills, you can use Php Crlf Audit with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Php Crlf Audit AI skill free?

It is published on GitHub by 0xShe. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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