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The attack patterns themselves can be used to highlight areas which need to be considered for security hardening in a software application. They also provide, either physically or in reference, the common solution pattern for preventing the attack. Such a practice can be termed defensive coding patterns.
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).
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 ...
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.
Unlike dynamic application security testing (DAST) tools for black-box testing of application functionality, SAST tools focus on the code content of the application, white-box testing. A SAST tool scans the source code of applications and its components to identify potential security vulnerabilities in their software and architecture.
DAST tools are well suited for dealing with low-level attacks such as injection flaws but are not well suited to detect high-level flaws, e.g., logic or business logic flaws. [6] Fuzzing tools are commonly used for input testing. [7] Interactive application security testing (IAST) assesses applications from within using software instrumentation.
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Software Security Assurance (SSA) is the process of ensuring that software is designed to operate at a level of security that is consistent with the potential harm that could result from the loss, inaccuracy, alteration, unavailability, or misuse of the data and resources that it uses, controls, and protects.