三、关于pymysql防注入
1、字符串拼接查询，造成注入
正常查询语句：
#! /usr/bin/env python # -*- coding:utf-8 -*- # __author__ = "TKQ" import pymysql conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='', db='tkq1') cursor = conn.cursor() user="u1" passwd="u1pass" #正常构造语句的情况 sql="select user,pass from tb7 where user='%s' and pass='%s'" % (user,passwd) #sql=select user,pass from tb7 where user='u1' and pass='u1pass' row_count=cursor.execute(sql) row_1 = cursor.fetchone() print row_count,row_1 connmit() cursor.close() conn.close()
构造注入语句：
#! /usr/bin/env python # -*- coding:utf-8 -*- # __author__ = "TKQ" import pymysql conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='', db='tkq1') cursor = conn.cursor() user="u1' or '1'-- " passwd="u1pass" sql="select user,pass from tb7 where user='%s' and pass='%s'" % (user,passwd) #拼接语句被构造成下面这样，永真条件，此时就注入成功了。因此要避免这种情况需使用pymysql提供的参数化查询。 #select user,pass from tb7 where user='u1' or '1'-- ' and pass='u1pass' row_count=cursor.execute(sql) row_1 = cursor.fetchone() print row_count,row_1 connmit() cursor.close() conn.close()
2、避免注入，使用pymysql提供的参数化语句
正常参数化查询
#! /usr/bin/env python
# -*- coding:utf-8 -*-
# __author__ = "TKQ"
import pymysql
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='', db='tkq1')
cursor = conn.cursor()
user="u1"
passwd="u1pass"
#执行参数化查询
row_count=cursor.execute("select user,pass from tb7 where user=%s and pass=%s",(user,passwd))
row_1 = cursor.fetchone()
print row_count,row_1
connmit()
cursor.close()
conn.close()
构造注入，参数化查询注入失败。
#! /usr/bin/env python
# -*- coding:utf-8 -*-
# __author__ = "TKQ"
import pymysql
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='', db='tkq1')
cursor = conn.cursor()
user="u1' or '1'-- "
passwd="u1pass"
#执行参数化查询
row_count=cursor.execute("select user,pass from tb7 where user=%s and pass=%s",(user,passwd))
#内部执行参数化生成的SQL语句，对特殊字符进行了加转义，避免注入语句生成。
# sql=cursor.mogrify("select user,pass from tb7 where user=%s and pass=%s",(user,passwd))
# print sql
#select user,pass from tb7 where user='u1' or '1'-- ' and pass='u1pass'被转义的语句。
row_1 = cursor.fetchone()
print row_count,row_1
connmit()
cursor.close()
conn.close()
结论：excute执行SQL语句的时候，必须使用参数化的方式，否则必然产生SQL注入漏洞。
3、使用存mysql储过程动态执行SQL防注入
使用MYSQL存储过程自动提供防注入，动态传入SQL到存储过程执行语句。
delimiter
DROP PROCEDURE IF EXISTS proc_sql
CREATE PROCEDURE proc_sql (
in nid1 INT,
in nid2 INT,
in callsql VARCHAR(255)
)
BEGIN
set @nid1 = nid1;
set @nid2 = nid2;
set @callsql = callsql;
PREPARE myprod FROM @callsql;
-- PREPARE prod FROM 'select * from tb2 where nid>? and nid<?'; 传入的值为字符串，？为占位符
-- 用@p1，和@p2填充占位符
EXECUTE myprod USING @nid1,@nid2;
DEALLOCATE prepare myprod;
END
delimiter ;
set @nid1=12; set @nid2=15; set @callsql = 'select * from tb7 where nid>? and nid<?'; CALL proc_sql(@nid1,@nid2,@callsql)
pymsql中调用
#! /usr/bin/env python
# -*- coding:utf-8 -*-
# __author__ = "TKQ"
import pymysql
conn = pymysql.connect(host='127.0.0.1', port=3306, user='root', passwd='', db='tkq1')
cursor = conn.cursor()
mysql="select * from tb7 where nid>? and nid<?"
cursor.callproc('proc_sql', args=(11, 15, mysql))
rows = cursor.fetchall()
print rows #((12, 'u1', 'u1pass', 11111), (13, 'u2', 'u2pass', 22222), (14, 'u3', 'u3pass', 11113))
connmit()
cursor.close()
conn.close()
四、使用with简化连接过程
每次都连接关闭很麻烦，使用上下文管理，简化连接过程
#! /usr/bin/env python
# -*- coding:utf-8 -*-
# __author__ = "TKQ"
import pymysql
import contextlib
#定义上下文管理器，连接后自动关闭连接
@contextlib.contextmanager
def mysql(host='127.0.0.1', port=3306, user='root', passwd='', db='tkq1',charset='utf8'):
conn = pymysql.connect(host=host, port=port, user=user, passwd=passwd, db=db, charset=charset)
cursor = conn.cursor(cursor=pymysql.cursors.DictCursor)
try:
yield cursor
finally:
connmit()
cursor.close()
conn.close()
# 执行sql
with mysql() as cursor:
print(cursor)
row_count = cursor.execute("select * from tb7")
row_1 = cursor.fetchone()
print row_count, row_1更多:python2进制 高位补0Python中操作mysql的pymysql模块详解
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