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The more you know about My SQL, the better you can hack My SQL!
Generally, My SQL is teamed up with PHP and an Apache web server (often referred to as LAMPP or XAMPP) to build dynamic, database driven web sites.
When you click on sqlmap, you will be greeted by a screen like that below.
Sqlmap is a powerful tool, written as a Python script (we will be doing Python tutorial soon) that has a multitude of options.
We are querying the database so it is called as Query language. For eg:if the number of columns is 7 ,then the query is as follow: It will show some numbers in the page(it must be less than ‘x’ value, i mean less than or equl to number of columns). Find the table name which is related with the admin or user. if the version is 4 or some others, you have to guess the table names. It is hard and bore to do sql inection with version 4.
Forhistorical reasons, SQL is usually pronounced “sequel,” but the alternate pronunciation“S. In fact, SQL works with one specific type of database, called arelational database. i am going to use the admin table name.click ok Now you can see the CHAR(numbers separated with commans) in the Hack toolbar.
Select * from table_name :this statement is used for showing the content of tables including column name. We have to visit the websites one by one for checking the vulnerability. Note:if you like to hack particular website,then try this:site: eg: Now we should check the vulnerability of websites. Copy and paste the code at the end of the url instead of the “mysqlchar”For eg: Now it will show the list of admin,password,admin_id,admin_name,admin_password,active,id,admin_name,admin_pas s,admin_id,admin_name,admin_password, ID_admin,admin_username,username,password..
The next step is to try to determine the tables and columns in that database.
In this way, we will have some idea what data is in the database, where it is and what type of data (numeric or string).
google dork is searching for vulnerable websites using the google searching tricks. But we are going to use “inurl:” command for finding the vulnerable websites. Now replace the ” from information_schema.columns where table_name=CHAR(97, 100, 109, 105, 110)” with the “from table_name” For eg: Sometime it will show the column is not found.