graphql_schema_parse
解析GraphQL文档,并提供将其转成**.gql**(前端查询可用得query字符串),.json(requests可用得json关键字参数接收数据)
GraphQL
GraphQL 既是一种用于 API 的查询语言也是一个满足你数据查询的运行时,详细内容点击标题访问官网 在实际工作种,最常用的是 query(查询), mutation(更改/新增), subscription
当发起一个GraphQL请求之后,通过抓包能够发现,最终和RESTFul发送请求没多大区别,它指定了JSON格式传参数,大致如下
{
"query": " query users {\n users{\n id\n username\n }\n \n }\n ",
"variables": {},
"operationName": "users"
}
{
"query": "mutation addUser($username: String!, $password: String!) {\n addUser(username: $username, password: $password) {\n id\n username\n }\n}\n",
"variables": {
"username": "gql",
"password": "gql1"
},
"operationName": "addUser"
}
{
"query": "mutation addUserInput($user: AddUserInput!) {\n addUserInput(user: $user) {\n id\n username\n }\n}\n",
"variables": {
"user": {
"username": "haha",
"password": "gg"
}
},
"operationName": "addUserInput"
}
- query: 其实就是生成的查询部分语句,前端传字段后端定义有返回
- variables: 使用query语句中的变量名
- operationName: 则是后端在实现时指定的接口名称(暂时这么理解吧)
这里用的Python语言,实际
_会被转换成驼峰写法
GraphQL示例应用
提供的GraphQL示例应用源码地址:https://gitee.com/zy7y/starlette-example
源码使用
- 克隆
git clone https://gitee.com/zy7y/starlette-example
- 安装依赖
pip install -r requirements.txt
pip install strawberry-graphql[debug-server]
3. 启动
cd injection_service\graphql
strawberry server schema
通过url获取接口文档
# 转JSON
gql parse http://127.0.0.1:8000 目录地址
# 转GQL
gql parse http://127.0.0.1:8000 --to gql 目录地址
# 转sqlmap(-r HTTP请求信息.txt)
# 带json
gql parse http://127.0.0.1:8000 --headers .\examples\headers.json --to sqlmap .\examples\sqlmap(json)示例
# 不带json
gql parse http://127.0.0.1:8000 --to sqlmap .\examples\sqlmap示例
需要Token认证
// 新建headers.json 如下
{
"Authorization": "Bearer token"
}
gql parse http://127.0.0.1:8000 --headers headers.json 目录地址
使用graphql-schema-parse
安装
pip install graphql-schema-parse
通过SDL获取接口文档
- 前置条件
# 在执行启动服务相同目录下执行, 得到SDL
strawberry export-schema schema > schema.graphql
2. 通过graphql文件转换成gql
sdl文件必须是utf-8编码,不是则自行修改
gql parse examples\schema.graphql --to gql 目录地址
测试
- gql文件(查询-query)
将生成的users.gql 文件内容复制到127.0.0.1:8000当中
- gql文件(突变-mutation)
将生成的addUser.gql 文件内容复制到127.0.0.1:8000当中
- json文件(查询-query)
将生成的users.json 文件内容赋值给
data,使用requests包发送请求,代码如下
from requests import post
url = "http://127.0.0.1:8000/graphql"
data = {
"query": " query users {\n users{\n id\n username\n }\n \n }\n ",
"variables": {}, "operationName": "users"}
print(post(url, json=data).json())
4. json文件(突变-mutation)
将生成的addUsers.json 文件内容赋值给
data,使用requests包发送请求,代码如下
from requests import post
url = "http://127.0.0.1:8000/graphql"
data = {
"query": " mutation addUserInput ($user: AddUserInput!){\n addUserInput (user: $user){\n id\n username\n }\n \n }\n ",
"variables": {"user": {"username": "", "password": ""}}, "operationName": "addUserInput"}
print(post(url, json=data).json())
5. txt文件(sqlmap -r httpinfo.txt, 可用于sqlmap sql注入扫描)
addUserInput.txt文件内容
POST /graphql HTTP/1.1
HOST: http://127.0.0.1:8000
Authorization: Bearer token
Content-Type: application/json
{"query": " mutation addUserInput ($user: AddUserInput!){\n addUserInput (user: $user){\n id\n username\n }\n \n }\n ", "variables": {"user": {"username": "*", "password": "*"}}, "operationName": "addUserInput"}
# 安装sqlmap
pip install sqlmap
# 进行SQL注入扫描, sqlmap详细用法前往sqlmap官网学习
sqlmap -r addUserInput.txt --level 5 --risk 3
扫描过程中
扫描结果(获取到了我的数据库为SQLlite)
参数详情
gql parse --help
output:
Usage: cli.py parse [OPTIONS] FROM_PATH TO_DIRECTORY
将Graphql接口文档转成gql文件/Json文件 :param from_path: 接口文档地址, 本地JSON文件地址(.json) 或者 本地
SDL文件(.schema ), 或者 服务器URL填入(服务器的IP:PORT) :param to: 转换之后的文件类型, 可选
TO_DIRECTORY 生成文件保存目录,不存在时,自动创建 [required]
Options:
--headers TEXT url方式获取接口文档时,可选项传入请求头json文件地址
--to [json|gql] [default: ToType.to_json]
--depth INTEGER query语句体中可用查询字段递归深度 [default: 1]
--help Show this message and exit.
Metadata
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