SQL is one of the most challenging and time consuming languages to both learn and write and this makes it all the more difficult to deal with when it is attacked. SQL injection is an attack where a malicious SQL code is executed within code already written to enable the attacker to take control of a web application’s database server.

The difficult thing about reducing the chance of an attack is that SQL injection defense isn’t taught in most SQL based courses and so people are often unaware or struggle to know how to defend against such attacks. While SQL injection attacks seem to be as powerful as ever, there are some great defenses that you can put into place that will help in SQL injection attack protection.

The biggest thing you remember when you’re putting in place SQL injection defense is that it has to be integrated very deeply. If you don’t cover all the bases then attackers will very easily be able to work their way around the defense mechanisms you have put into place and will essentially render your efforts completely worthless. Once you get into the flow of protecting your SQL code you will be able to integrate it much more easily as and when you are writing the code itself.

A really simple way of protecting yourself from SQL injection is to limit permissions. This might make things more complicated if there are things that you desperately need permissions for but if you apply this wherever possible then even if an attacker using a SQL injection attack then they won’t get the outcome that they are after. As much as possible limiting accounts to read only or with limited permissions unless it is absolutely necessary will reduce the amount of data attackers are able to get out of it.

When you want to protect your code from SQL injection attacks there are plenty of things you implement into the code itself that will protect you. If you’re wondering how effective your SQL defense coding is then you can use a SQL injection defense test. This will highlight areas that you need to improve on and will help you in the long run when writing code in the future.