3.1. Understanding Basic Data Validation Techniques
Problem
You have data coming into your application, and you would like to filter or reject data that might be malicious.
Solution
Perform data validation at all levels whenever possible. At the very least, make sure data is filtered on input.
Match constructs that are known to be valid and harmless. Reject anything else.
In addition, be sure to be skeptical about any data coming from a potentially insecure channel. In a client-server architecture, for example, even if you wrote the client, the server should never assume it is talking to a trusted client.
Discussion
Applications should not trust any external input. We have often seen situations in which people had a custom client-server application and the application developer assumed that, because the client was written in house by trusted, strong coders, there was nothing to worry about in terms of malicious data being injected.
Those kinds of assumptions lead people to do things that turn out badly, such as embedding in a client SQL queries or shell commands that get sent to a server and executed. In such a scenario, an attacker who is good at reverse engineering can replace the SQL code in the client-side binary with malicious SQL code (perhaps code that reads private records or deletes important data). The attacker could also replace the actual client with a handcrafted client.
In many situations, an attacker who does not even have control over the client is nevertheless able to ...
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