Disclaimer: This article is only for educational purposes, security researchers, and pentester. I would like to clarify that I am completely against cyber-crime.
Most cyber-attacks in the world that involve websites occurs due to lack of updates and configuration faults resulting in explorations of success.
One of the main threats is SQL Injection that left many worried about their systems, programmers, and SQL databases.
The biggest problem is not the DBMS itself but the lack of definition and verification of the input fields in web applications.
Many web developers do not know how SQL queries can be handled and assume that an SQL query is a trusted command. This allows for SQL queries to circumvent access controls, thereby bypassing standard authentication and authorization checks. And sometimes SQL queries even may allow access to the command shell on the server operating system level.
Direct injection of SQL commands is a technique where an attacker creates or alters existing SQL commands to expose hidden data or to override valuable data, and even to execute dangerous system level commands on the server.
Structured Query Language is the standard declarative language for relational databases. This allows for its simplicity and ease of use.
SQL was originally developed in the early 70s at IBM labs.
SQLMAP is a tool used for this type of vulnerability.
It is Open source, and often is used for Penetration Testing that enable intrusions on fragile DBMS written in Python. It provides functions to detect and exploit vulnerabilities of SQLI. Let's use the example sqlmap.py, widely used in operating systems and databases.
STEP BY STEP
Readers I will try to explain this in the simplest possible way.
You must have a vulnerable target, to find out if the target is vulnerable just input ' at the end of the URL being tested and press "Enter" if some error is returned the database is vulnerable.
You can use google to find it with some dork. Example: inurl: news.php id = 1?
There is a bank of google dorks data and several other possibilities that can be used to filter your search.
We will now begin the game, to view the menu for sqlmap.py use the command ./sqlmap.py -h
Let's run sqlmap.py, the parameter [--dbs], to search the all databases in DBMS.
Or use the parameter --current-db to show the databases that are being used.
The parameter -D is for the target of database and --tables is tables list.
We will verify the existence of interesting information in the table (admin_users), time to list the columns. The parameter is –columns.
It is important to always indicate the target database (-D) data before listing the tables because if you do not do this (without the -D) it will list all tables in all databases.
-T = target table
-C = target columns, can be more than one column to be chosen. Example: username, password.
--dump = obtain, extract data.
Important to remember the parameter --proxy: enables use of proxy.
Example: /sqlmap.py --url "http://testphp.vulnweb.com/listproducts.php?cat=1" --dbs --proxy=http://188.8.131.52:80
Readers, I think that's the basics for beginners. sqlmap.py also has many interesting functions, I suggest researching about --prefix=PREFIX, --postfix=POSTFIX and takeover options.
More information about the program and videos of them in action on the official site.
--dump is to extract the data from the site but is not given any, this must be within the selected column, and you have to choosen what to extract from the column, where I extracted the logins and passwords are saved within the column.
Generally, the field of "passwords" DBMS are encrypted.
We then need to decrypt the passwords in order to access the target system.
We can find a way to log into the system. But wait, the passwords are encrypted in MD5, hahahaha put your hash on: http://www.md5decrypt.org and may be decrypted or otherwise
BEYOND THE BASICS
Readers, lucky for us, there are some awesome tamper scripts for sqlmap, which can be found in the latest development version from the Subversion repository.
svn checkout https://svn.sqlmap.org/sqlmap/trunk/sqlmap sqlmap-dev
In fact the function of the tamper scripts is to modify the request in a way that will escape detection rules WAF (Web Application Firewall). In some cases it may be necessary to combine some tamper scripts together in order to fool the WAF. For a complete list of scripts for tampering, you may find https://svn.sqlmap.org/sqlmap/trunk/sqlmap/tamper/
Many enterprises often overlook the current vulnerabilities and rely only on the firewall for protection. Unfortunately, most, if not all firewalls can be bypassed. So gentlemen, I want to demonstrate how to use some of the new features of sqlmap to bypass WAF’s/IDS.
Well, I'll demonstrate some important scripts that are charencode.py and charcodeencode.py to work with MySQL.
Hands-on: To begin using tamper scripts, you use the --tamper followed by the script name. In the example, we use the command:
Summary of charencode.py
Quite simply, this script is useful for ignoring very weak web application firewalls (WAF) …
Another interesting function url-decode the request before processing it through their set of rules (:
The web server will anyway go to url-decoded back version, concluding, it should work against any DBMS.
Example to use:
We will demonstrate the use of charunicodeencode.py for additional security. The vast number of organizations have deployed WAF. Guys, this is a tricky part to exploit such an environment. Well, standard SQL injection attack vectors will not work neither will the scripts.
That is the reason we use tamper scripts, this facility known as “tamper scripts" in aid of a quiet way to bypass web application firewalls.
Guys, I have demonstrated just a few of the many tamper scripts. We highly recommend testing them out as each one can be used in different situations.
Notes: That's not a tool for "script kiddies" it is of utmost importance to make use of such a powerful tool responsibly and maturely.
Caution if used in the wrong way, sqlmap generates many queries and can affect the performance of the database target, moreover strange entries and changes to the database schema are possible if the tool is not controlled and used extensively.
I will demonstrate to you how to use sqlmap with The Onion Router for the protection of IP, DNS, etc... In your Linux, in the terminal type:
$ sudo apt-get install tor tor-geoip
After enter the sqlmap folder and type:
./sqlmap.py -u "http://www.targetvuln.com/index.php?cata_id=1" -b -a –tor --check-tor--user-agent="Mozilla/5.0 (compatible; Googlebot/2.1; +http://www.google.com/bot.html)"
The argument --tor invokes the Tor to be used and the --check-tor checks if Tor is being used properly, if not, you will receive an error message in red at the terminal. The User Agent is the googlebot, all your requests on the site will look like the Google bot doing a little visit.
TOR at SQLMap, we can set your TOR proxy for hiding the source from where the traffic or request is generated.
–tor-port, –tor-type : the parameter can help you out to set the TOR proxy manually.
–check-tor : the parameter will check if the tor setup is appropriate and functional.
It is known that many targets have been explored through SQL Injection a few years ago when this threat was discovered, the injection form was "the nail". The pentester had to enter the codes manually, taking longer to complete the attack.
Then came the development of programs that automated attack. Nowadays perhaps the best known of these programs is sqlmap.py. SQLMAP is a program of open source testing framework written in Python. It has full support for database systems: MySQL, Oracle, PostgreSQL, Microsoft SQL Server, Microsoft Access, IBM DB2, SQLite, Firebird, Sybase, SAP MaxDB and also supports 6 types of SQL Injection techniques.
1. Correct the SQL server regularly.
2. Limit the use of dynamic queries.
3. Escape input data from users.
4. Stores the credentials of the database in a separate file.
5. Use the principle of least privilege.
6. Turn off the magic quotes.
7. Disable shell access.
8. Disable any feature of the bank that you do not need
9. Test your code
10. Search in google advanced techniques to correct this vulnerability.