Research of SQL injection attack and prevention technology.
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). SQL injection must exploit a security vulnerability in an application's software, for example, when user input is either incorrectly filtered for string literal escape.
An attack scenario where the hacker could use SQL Injection SQL Injection is one of the widely used web attack mechanism used by hackers to steal sensitive data from organisations. In an online grocery, a hacker can use the SQL Injection to gain access to the database and retrieve the customers’ credit cards information. A hacker may input specifically crafted SQL commands in the login page.
A SQL injection modifies the code of the databases, giving the hacker access to the database, and allowing them to make changes, however they like. This is done primarily for malicious reasons, and can vary in impacts, it can either destroy the whole database or parts of it. The database containing codes in the frontend, which can be exploited by the hacker, are usually the databases which.
This paper illustrates few different forms of SQL injection and based on observation, it is seen that SQL Injection is interpreted differently on different databases. Also, an effective solution is proposed for the prevention of these categories of injection attacks. The authors suggest an approach in which the value entered for every field is checked for an SQL injection attack by parsing it.
Abstract: Among all attacks on the web application system, SQL injection is one of the most serious security issues. Combining the dynamic and static information flow tracking technology, dynamic taint-based tracking technology and white list and black list, this paper designs and implements a prevention model of SQL injection attacks, which can effectively prevent three major types of SQL.
It is a code injection technique where malicious SQL statements are inserted into a given SQL database by simply using a web browser. In this paper, we propose an effective pattern recognition neural network model for detection and classification of SQLi attacks. The proposed model is built from three main elements of: a Uniform Resource Locator (URL) generator in order to generate thousands.
Nowadays SQL injection attack is a major issue of web applications. It allows unrestricted access to the database. The successful execution of SQL injection leads to a loss of integrity and confidentiality. In this paper, a review of different types of SQL injection attacks, their detection and prevention techniques are presented. This paper.