SQLiX, coded in Perl, is a SQL Injection scanner, able to crawl, detect SQL injection vectors, identify the back-end database and grab function call/UDF results (even execute system commands for MS-SQL). The concepts in use are different than the one used in other SQL injection scanners. SQLiX is able to find normal and blind SQL injection vectors and doesn’t need to reverse engineer the original SQL request (using only function calls).
SQLiX is a SQL Injection scanner which attempts to fill the gap between what commercial software available on the market can do and what can really be done to detect and identify SQL injection.
Current injection methods used by commercial web assessment software are based on error generation or statement injections.
The error generation method is quite simple and is based on meta characters like single quotes or double quotes. By injecting these characters in the original SQL request, you generate a syntax error which could result in an SQL error message displayed in the HTTP reply. The main issue with this technique is the fact that it’s only based on pattern matching. There is no way to handle multiple languages or complex behaviors when the error message is filtered by the server-side scripts.
The second method used is statement injection. Let’s look at an example:
The target URL
The scanner will try to compare the HTML content of the original request with the HTML content of
If the request (1) provides the same result as request (0) and request (2) doesn’t, the scanner will conclude that SQL injection is possible. This method works fine, but is very limited by the syntax of the original request. If the original request contains parentheses, store procedures or function calls, this method will rarely work. Worse, if the variable is used by multiple SQL requests, all with different syntaxes, there is no automatic way to make them all work simultaneously.
Another global issue concerning SQL injection is the fact that pen testers frequently conclude that a given SQL injection vulnerability can’t be exploited. By concluding this incorrect statement they are inviting their customers to not patch the vulnerability.
You can download here:
Documentation and examples are here:
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- aidSQL – PHP Application For SQL Injection Detection & Exploitation
- OWASP (Open Web Application Security Project) Testing Guide v3 Released
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- OWASP – Fortify Bug Taxonomy
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