scholarly journals Analysis of protection capabilities against SQL Injection attacks

2018 ◽  
Vol 7 ◽  
pp. 150-157
Author(s):  
Bogdan Krawczyński ◽  
Jarosław Marucha ◽  
Grzegorz Kozieł

Publication refers to SQL Injection attacks whose are one of the most dangerous in a cyberspace. Based on a literature studies, classification of the SQL Injection attacks was prepared. The purpose of the work was to analyse of protections effectiveness against SQL Injection attacks. Research method has been based on author application, which was implemented in JSP (JavaServer Pages) technology using MySQL database server.

Author(s):  
Aldebaran Bayu Nugroho ◽  
Satria Mandala

<p>There are several types of SQL injection attacks. One of the most popular SQL Injection Attacks is Blind SQL. This attack is performed by exploiting a gap in the database server when executing query words. If the server responds to an invalid query, the attacker will then reverse the engineering part of the SQL query, which is obtained from the error message of the server. The process of generating a blind SQL injection attack is complicated. As a result, a Pentester often requires a long time to penetrate the database server. This research provides solutions to the problems above by developing the automation of a blind SQL injection attack. The method used in this research is to generate keywords, such as the database name and table name so that the attacker can retrieve information about the user name and password. This research also compares several search algorithms, such as linear search, binary search, and interpolation search for generating the keywords of the attack. Automation of the Blind SQL Injection was successfully developed, and the performance of the keywords generation for each algorithm was also successfully measured, i.e., 1.7852 seconds for Binary Search, 1.789 seconds for interpolation and 1.902 seconds for Linear Search.</p>


2010 ◽  
Vol 1 (1) ◽  
pp. 20-40 ◽  
Author(s):  
San-Tsai Sun ◽  
Konstantin Beznosov

This article presents an approach for retrofitting existing Web applications with run-time protection against known, as well as unseen, SQL injection attacks (SQLIAs) without the involvement of application developers. The precision of the approach is also enhanced with a method for reducing the rate of false positives in the SQLIA detection logic, via runtime discovery of the developers’ intention for individual SQL statements made by Web applications. The proposed approach is implemented in the form of protection mechanisms for J2EE, ASP.NET, and ASP applications. Named SQLPrevent, these mechanisms intercept HTTP requests and SQL statements, mark and track parameter values originating from HTTP requests, and perform SQLIA detection and prevention on the intercepted SQL statements. The AMNESIA testbed is extended to contain false-positive testing traces, and is used to evaluate SQLPrevent. In our experiments, SQLPrevent produced no false positives or false negatives, and imposed a maximum 3.6% performance overhead with 30 milliseconds response time for the tested applications.


Author(s):  
Kasra Amirtahmasebi ◽  
Seyed Reza Jalalinia

Due to the huge growth in the need for using Web applications worldwide, there have been huge efforts from programmers to develop and implement new Web applications to be used by companies. Since a number of these applications lack proper security considerations, malicious users will be able to gain unauthorized access to confidential information of organizations. A concept called SQL Injection Attack (SQLIA) is a prevalent method used by attackers to extract the confidential information from organizations’ databases. They work by injecting malicious SQL codes through the web application, and they cause unexpected behavior from the database. There are a number of SQL Injection detection/prevention techniques that must be used in order to prevent unauthorized access to databases.


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