Testing for MySQL

Summary

SQL Injection vulnerabilities occur whenever input is used in the construction of a SQL query without being adequately constrained or sanitized. The use of dynamic SQL (the construction of SQL queries by concatenation of strings) opens the door to these vulnerabilities. SQL injection allows an attacker to access the SQL servers. It allows for the execution of SQL code under the privileges of the user used to connect to the database.

MySQL server has a few particularities so that some exploits need to be specially customized for this application. That’s the subject of this section.

How to Test

When an SQL injection vulnerability is found in an application backed by a MySQL database, there are a number of attacks that could be performed depending on the MySQL version and user privileges on DBMS.

MySQL comes with at least four versions which are used in production worldwide, 3.23.x, 4.0.x, 4.1.x and 5.0.x. Every version has a set of features proportional to version number.

• From Version 4.0: UNION
• From Version 4.1: Subqueries
• From Version 5.0: Stored procedures, Stored functions and the view named INFORMATION_SCHEMA
• From Version 5.0.2: Triggers

It should be noted that for MySQL versions before 4.0.x, only Boolean or time-based Blind Injection attacks could be used, since the subquery functionality or UNION statements were not implemented.

From now on, we will assume that there is a classic SQL injection vulnerability, which can be triggered by a request similar to the one described in the Section on Testing for SQL Injection.

https://www.example.com/page.php?id=2

The Single Quotes Problem

Before taking advantage of MySQL features, it has to be taken in consideration how strings could be represented in a statement, as often web applications escape single quotes.

MySQL quote escaping is the following:

'A string with \'quotes\''

That is, MySQL interprets escaped apostrophes \' as characters and not as metacharacters.

So if the application, to work properly, needs to use constant strings, two cases are to be differentiated:

1. Web app escapes single quotes ' => \'
2. Web app does not escape single quotes ' => '

Under MySQL, there is a standard way to bypass the need of single quotes, having a constant string to be declared without the need for single quotes.

Let’s suppose we want to know the value of a field named password in a record, with a condition like the following:

1. password like 'A%'
2. The ASCII values in a concatenated hex: password LIKE 0x4125
3. The char() function: password LIKE CHAR(65,37)

Multiple Mixed Queries

MySQL library connectors do not support multiple queries separated by ; so there’s no way to inject multiple non-homogeneous SQL commands inside a single SQL injection vulnerability like in Microsoft SQL Server.

For example the following injection will result in an error:

1 ; update tablename set code='javascript code' where 1 --

Information Gathering

Fingerprinting MySQL

Of course, the first thing to know is if there’s MySQL DBMS as a backend database. MySQL server has a feature that is used to let other DBMS ignore a clause in MySQL dialect. When a comment block '/**/' contains an exclamation mark '/*! sql here*/' it is interpreted by MySQL, and is considered as a normal comment block by other DBMS as explained in MySQL manual.

Example:

1 /*! and 1=0 */

If MySQL is present, the clause inside the comment block will be interpreted.

Version

There are three ways to gain this information:

1. By using the global variable @@version
2. By using the function VERSION()
3. By using comment fingerprinting with a version number /*!40110 and 1=0*/

which means

if(version >= 4.1.10)
   add 'and 1=0' to the query.

These are equivalent as the result is the same.

In band injection:

1 AND 1=0 UNION SELECT @@version /*

Inferential injection:

1 AND @@version like '4.0%'

The response would contain something to the lines of:

5.0.22-log

Login User

There are two kinds of users MySQL Server relies upon.

1. USER(): the user connected to the MySQL Server.
2. CURRENT_USER(): the internal user who is executing the query.

There is some difference between 1 and 2. The main one is that an anonymous user could connect (if allowed) with any name, but the MySQL internal user is an empty name (‘’). Another difference is that a stored procedure or a stored function are executed as the creator user, if not declared elsewhere. This can be known by using CURRENT_USER.

In band injection:

1 AND 1=0 UNION SELECT USER()

Inferential injection:

1 AND USER() like 'root%'

The response would contain something to the lines of:

user@hostname

Database Name in Use

There is the native function DATABASE()

In band injection:

1 AND 1=0 UNION SELECT DATABASE()

Inferential injection:

1 AND DATABASE() like 'db%'

Expected Result, A string like this:

dbname

INFORMATION_SCHEMA

From MySQL 5.0 a view named INFORMATION_SCHEMA was created. It allows us to get all the information about databases, tables, and columns, as well as procedures and functions.

All of this information could be extracted by using known techniques as described in SQL Injection section.

Attack Vectors

Write in a File

If the connected user has FILE privileges and single quotes are not escaped, the into outfile clause can be used to export query results in a file.

Select * from table into outfile '/tmp/file'

Note: there is no way to bypass single quotes surrounding a filename. So if there’s some sanitization on single quotes like escape \' there will be no way to use the into outfile clause.

This kind of attack could be used as an out-of-band technique to gain information about the results of a query or to write a file which could be executed inside the web server directory.

Example:

1 limit 1 into outfile '/var/www/root/test.jsp' FIELDS ENCLOSED BY '//'  LINES TERMINATED BY '\n<%jsp code here%>';

Results are stored in a file with rw-rw-rw privileges owned by MySQL user and group.

Where /var/www/root/test.jsp will contain:

//field values// <%jsp code here%>

Read from a File

load_file is a native function that can read a file when allowed by the file system permissions. If a connected user has FILE privileges, it could be used to get the files’ content. Single quotes escape sanitization can by bypassed by using previously described techniques.

load_file('filename')

The whole file will be available for exporting by using standard techniques.

Standard SQL Injection Attack

In a standard SQL injection you can have results displayed directly in a page as normal output or as a MySQL error. By using already mentioned SQL Injection attacks and the already described MySQL features, direct SQL injection could be easily accomplished at a level depth depending primarily on the MySQL version the pentester is facing.

A good attack is to know the results by forcing a function/procedure or the server itself to throw an error. A list of errors thrown by MySQL and in particular native functions could be found on MySQL Manual.

Out of Band SQL Injection

Out of band injection could be accomplished by using the into outfile clause.

Blind SQL Injection

For blind SQL injection, there is a set of useful function natively provided by MySQL server.

• String Length:
  • LENGTH(str)
• Extract a substring from a given string:
  • SUBSTRING(string, offset, #chars_returned)
• Time based Blind Injection:
  • BENCHMARK and SLEEP BENCHMARK(#ofcycles,action_to_be_performed) The benchmark function could be used to perform timing attacks when blind injection by boolean values does not yield any results. See. SLEEP() (MySQL > 5.0.x) for an alternative on benchmark.

For a complete list, refer to the MySQL manual

Tools

• Bernardo Damele A. G.: sqlmap, automatic SQL injection tool
• Muhaimin Dzulfakar: MySqloit, MySql Injection takeover tool

References

Whitepapers

• Chris Anley: “Hackproofing MySQL”

Case Studies

• Zeelock: Blind Injection in MySQL Databases