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A classification of SQL injection attacking vector as of 2010. In computing, SQL injection is a code injection technique used to attack data-driven applications, in which malicious SQL statements are inserted into an entry field for execution (e.g. to dump the database contents to the attacker).
An SQL injection takes advantage of SQL syntax to inject malicious commands that can read or modify a database or compromise the meaning of the original query. [13] For example, consider a web page that has two text fields which allow users to enter a username and a password.
At a function level, a common technique is the construction of an Abstract syntax tree to control the flow of data within the function. [ 9 ] Since late 90s, the need to adapt to business challenges has transformed software development with componentization [ 10 ] enforced by processes and organization of development teams. [ 11 ]
Interface injection, where the dependency's interface provides an injector method that will inject the dependency into any client passed to it. In some frameworks, clients do not need to actively accept dependency injection at all. In Java, for example, reflection can make private attributes public when testing and inject services directly. [30]
The methods of injection can vary a great deal; in some cases, the attacker may not even need to directly interact with the web functionality itself to exploit such a hole. Any data received by the web application (via email, system logs, IM etc.) that can be controlled by an attacker could become an injection vector.
On its own, an arbitrary code execution exploit will give the attacker the same privileges as the target process that is vulnerable. [11] For example, if exploiting a flaw in a web browser, an attacker could act as the user, performing actions such as modifying personal computer files or accessing banking information, but would not be able to perform system-level actions (unless the user in ...
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Major DBMSs, including SQLite, [5] MySQL, [6] Oracle, [7] IBM Db2, [8] Microsoft SQL Server [9] and PostgreSQL [10] support prepared statements. Prepared statements are normally executed through a non-SQL binary protocol for efficiency and protection from SQL injection, but with some DBMSs such as MySQL prepared statements are also available using a SQL syntax for debugging purposes.