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Code injection is a computer security exploit where a program fails to correctly process external data, such as user input, causing it to interpret the data as executable commands. An attacker using this method "injects" code into the program while it is running.
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).
Injection exploits are computer exploits that use some input or data entry feature to introduce some kind of data or code that subverts the intended operation of the system. Usually these exploits exploit vulnerabilities resulting from insufficient data validation on input and so forth.
It is common for a web application to store in a database the hash value of a user's password. Without a salt, a successful SQL injection attack may yield easily crackable passwords. Because many users re-use passwords for multiple sites, the use of a salt is an important component of overall web application security. [14]
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.
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]
Passwords were stored in cleartext in the database and were extracted through an SQL injection vulnerability. The Imperva Application Defense Center (ADC) did an analysis on the strength of the passwords. [22] Some of the key findings were: about 30% of users chose passwords whose length was below seven characters,
For example, when testing a program that takes a user's personal details and verifies their credit card number, a developer may decide to add a magic string shortcut whereby entering the unlikely input of "***" as a credit card number would cause the program to automatically proceed as if the card were valid, without spending time verifying it.