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One of the most well known examples of data-flow analysis is taint checking, which consists of considering all variables that contain user-supplied data – which is considered "tainted", i.e. insecure – and preventing those variables from being used until they have been sanitized. This technique is often used to prevent SQL injection attacks ...
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).
To prevent code injection problems, the person could use secure input and output handling strategies, such as: Using an application programming interface that, if used properly, is secure against all input characters. Parameterized queries allow the moving of user data out of a string to be interpreted.
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 act of encrypting a database also reduces the incentive for individuals to hack the aforementioned database as "meaningless" encrypted data adds extra steps for hackers to retrieve the data. [3] There are multiple techniques and technologies available for database encryption, the most important of which will be detailed in this article.
SQL Slammer [a] is a 2003 computer worm that caused a denial of service on some Internet hosts and dramatically slowed general Internet traffic. It also crashed routers around the world, causing even more slowdowns.
Data sanitization is an integral step to privacy preserving data mining because private datasets need to be sanitized before they can be utilized by individuals or companies for analysis. The aim of privacy preserving data mining is to ensure that private information cannot be leaked or accessed by attackers and sensitive data is not traceable ...
The same-origin policy does not prevent the browser from making GET, POST, OPTIONS, and TRACE requests; it only prevents the responses from being read by user code. Therefore, if an endpoint uses a one of these "safe" request methods to write information or perform an action on a user's behalf, it can be exploited by attackers.