Types Of SQL Injection Attacks Research Articles

A deep learning approach based on multi-view consensus for SQL injection detection

SQL injection (SQLi) attacks are one of the oldest and most serious security threats, consistently ranking among the top ten critical web security risks. Traditional defense mechanisms against SQL injection predominantly use blacklists to disallow common injection characters or terms. However, the major challenge for these systems is to create a comprehensive list of potential SQLi characters, terms, and multi-terms that encompass various types of SQLi attacks (time-based, error-based, etc.), taking into account various SQL datasets (such as MySQL, Oracle, and NoSQL). Recently, some research studies have concentrated on feature learning from SQL queries by applying some well-known deep architectures to detect SQLi attacks. Motivated by a similar objective, this research introduces a novel deep learning-based SQLi detection system named “Bidirectional LSTM-CNN based on Multi-View Consensus” (MVC-BiCNN). The proposed method implements a pre-processing step that generates multiple views from SQL data by semantically encoding SQL statements into their corresponding SQL tags. By utilizing two different main layers, which are bidirectional long short-term memory (LSTM) and convolutional neural network (CNN), the proposed method learns a joint latent space from multi-view representations. In the detection phase, the proposed method yields separate predictions for each representation and assesses whether the query constitutes an SQLi attack based on a consensus function’s output. Moreover, Interpretable Model-Agnostic Annotations (LIME), one of the methods of Explainable Artificial Intelligence (XAI), is employed for the purpose of interpreting the model’s results and analyzing the SQL injection (SQLi) inputs. The experimental results demonstrate that MVC-BiCNN outperforms the baseline methods, yielding 99.96% detection rate.

Study the Best PenTest Algorithm for Blind SQL Injection Attacks

<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>

Research on the Detection Method of SQL Injection Attack Based on Sequence Alignment

In order to improve the detection efficiency of SQL injection attack, this paper proposes a detection method of SQL injection attack based on sequence alignment algorithm. Needleman-Wunsch and its improved algorithm are used to carry out sequence alignment and then find out the best alignment results in the global-scope. Experiments show that 100% of the SQL injection attacks tested are detected in the detection rate; the algorithm has the minimum response delay compared with other types of SQL injection attacks. The detection method proposed in this paper can improve the detection effect quickly and effectively, and reduce the complexity of time and space.

Analysis of the defending possibilities against SQL Injection attacks

The article describes various protection methods of database and types of SQL Injection attacks. These are extremely dangerous attacks because they threaten the confidentiality of sensitive data. In order to analyze in detail protection methods and methods of attacks, simulations of attacks and defence were performed in the following languages: C #, PHP, Java. Based on the simulation results for particular languages, the effectiveness and efficiency of database protection methods were compared.

Neutralizing SQL Injection Attack on Web Application Using Server Side Code Modification

SQL Injection attacks pose a very serious security threat to Web applications and web servers. They allow attackers to obtain unrestricted access to the databases underlying the applications and to the potentially sensitive and important information these databases contain. This research, “Neutralizing SQL Injection attack on web application using server side code modification” proposes a method for boosting web security by detecting SQL Injection attacks on web applications by modification on the server code so as to minimize vulnerability and mitigate fraudulent and malicious activities. This method has been implemented on a simple website with a database to register users with an admin that has control privileges. The server used is a local server and the server code was written with PHP as the back end. The front end was designed using MySQL. PHP server side scripting language was used to modify codes. ‘PDO prepare’ a tool to prepare parameters to be executed. The proposed method proved to be efficient in the context of its ability to prevent all types of SQL injection attacks. Acunetix was used to test the vulnerability of the code, and the code was implemented on a simple website with a simple database. Some popular SQL injection attack tools and web application security datasets have been used to validate the model. Unlike most approaches, the proposed method is quite simple to implement yet highly effective. The results obtained are promising with a high accuracy rate for detection of SQL injection attack.

SQL Injection Attack on Web Application

SQL injection attacks are one of the highest dangers for applications composed for the Web. These attacks are dispatched through uncommonly made client information on web applications that utilizes low level string operations to build SQL queries. An SQL injection weakness permits an assailant to stream summons straightforwardly to a web application’s hidden database and annihilate usefulness or privacy. In this paper we proposed a simplified algorithm which works on the basic features of the SQL Injection attacks and will successfully detect almost all types of SQL Injection attacks. In the paper we have also presented the experiment results in order to acknowledge the proficiency of our algorithm.

SQL Injection Impact on Web Server and Their Risk Mitigation Policy Implementation Techniques: An Ultimate solution to Prevent Computer Network from Illegal Intrusion

SQL Injection attacks pose a very serious security threat to Web applications and web servers. They allow attackers to obtain unrestricted access to the databases underlying the applications and to the potentially sensitive and important information these databases contain. Although researchers and security professionals have proposed various methods to address the SQL injection problem but current approaches either fail to address the full scope of the problem or have limitations that prevent their use and adoption. Many researchers and security professionals are familiar with only a subset of the wide range of techniques available to attackers who are trying to take advantage of SQL injection vulnerabilities. As a result, many solutions proposed in the literature address only some of the issues related to SQL injection. To address this problem, we are presenting an extensive review of the different types of SQL injection attacks known to date. Also for each type of attack, we provide descriptions and examples of how attacks of that type could be performed. We also presented and analyze existing detection and prevention techniques against SQL injection attacks. Keywords:SQL injection attack, SQL queries, web application, DBMS, taxonomy, web application.

Efficient Solution for Detection and Prevention of SQL Injection Attacks : Wave System Technique

Abstract SQL Injection attacks are one of the most common threats on web applications that refer to an attacker who can use vulnerability to bypass authentication for retrieving the contents of an entire database then create, delete, update or drop the whole structure. There are many methods used to repel these attacks but none of these methods have proved to work on detecting and preventing all types of SQL injection attacks which means specific method for a certain particular type. The aim of this research is to present a new method to detect and prevent the largest number of these attacks and test it against the 50 codes written by PHP and HTML languages Analysis and comparison have been carried out between the existing solutions YASCA, RIPS and WAVE, questionnaires were completed by experts such as developers and database administrators and identification of the actual risks behind these threats have all helped in addressing the best method to use in securing websites.

Neutralizing SQL Injection Attack Using Server Side Code Modification in Web Applications

Reports on web application security risks show that SQL injection is the top most vulnerability. The journey of static to dynamic web pages leads to the use of database in web applications. Due to the lack of secure coding techniques, SQL injection vulnerability prevails in a large set of web applications. A successful SQL injection attack imposes a serious threat to the database, web application, and the entire web server. In this article, the authors have proposed a novel method for prevention of SQL injection attack. The classification of SQL injection attacks has been done based on the methods used to exploit this vulnerability. The proposed method proves to be efficient in the context of its ability to prevent all types of SQL injection attacks. Some popular SQL injection attack tools and web application security datasets have been used to validate the model. The results obtained are promising with a high accuracy rate for detection of SQL injection attack.

SQL Injection Attack Roadmap and Fusion

With SQL Injection, an attacker can change the intended effect of dynamically generated query in a web Application. This can lead to unauthorized access to the database underlying web application, and harmful transactions on the potentially sensitive information contained in the database. Clear understanding of a problem always assists in finding stronger solution to the problem. In this paper, we conducted an extensive review of several empirical studies on SQL injection attacks and vulnerabilities, with the goal of providing the research community with better insight into possible relationship that exists between different types of SQL Injection Attacks (SQLIAs), and the types of vulnerabilities exploited by each. Consequently, the result of our study is presentation of SQLIAs fusion which shows how different types of SQLIAs lead to one another, and also presentation of step by step SQLIA roadmap. We are very optimistic that our study can help the research community with clearer understanding of SQL Injections, and thus facilitates emergence of stronger solutions to the long standing problem.

A detection model for SQL injection attack

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 injection attacks and block the frequent SQL injection as well as support single/batch website scanning and generate scanning reports in HTML format. Multi-thread mechanism is adopted to improve program performance as well as acquiring much information about vulnerability. Testing proved that it can effectively prevent three types of SQL injection attacks, and effectively block frequent SQL injection attacks, helping users confirm the information about SQL injection vulnerability in single/batch websites through the returned information.

MAC based solution for SQL injection

With the rapid development of Internet, more and more organizations connect their databases to the Internet for resource sharing. However, due to developers’ lack of knowledge of all possible attacks, web applications become vulnerable to multiple attacks. Thus the network databases could face multiple threats. Web applications generally consist of a three tier architecture where database is in the third pole, which is the most valuable asset in any organization. SQL injection is an attack technique used to exploit code by altering back-end SQL statements through manipulating input. An attacker can directly compromise the database, that’s why this is a most threatening attack. SQL injection attack occupies first position in top ten vulnerabilities as specified by Open Web Application Security Project [12]. It is probably the most common Website vulnerability today! Current scenarios which provide solutions to SQL injection attack either have limited scope i.e. can’t be implemented in all platforms or do not cover all types of SQL injection attacks. In this work we implement Detection Block model against SQL injection attacks. The model works both on client and server side. Client side implements a filter function and server side is based on information theory. MAC static and dynamic query which is derived from entropy is compared to detect an attack.

AN EFFICIENT TECHNIQUE FOR SQL INJECTION DETECTION AND PREVENTION

With the recent rapid increase of interactive web applications that employ back-end database services, a SQL injection attack has become one of the most serious security threats. This type of attack can compromise confidentiality and integrity of information and database. Actually, an attacker intrudes to the web application database and consequently, access to data. For preventing this type of attack different techniques have been proposed by researchers but they are not enough because most of implemented techniques cannot stop all type of attacks. In this paper our proposed technique are detection of SQL injection and prevention based on first order, second order and blind SQL injection attacks online. The proposed technique implemented in JAVA and evaluated for seven types of SQL injection attacks. Experimental results have shown that the proposed technique is efficient related to execution time overhead. Our technique need to be one second overhead to execution time. Moreover, we have compared the proposed technique with the popular web application vulnerabilities scanner techniques. The most advantages of proposed technique Its easiness to adopt by software developer, having the same syntactic structure as current popular record set retrieval methods.

A Hybrid Technique for SQL Injection Attacks Detection and Prevention

SQL injection is a type of attacks used to gain, manipulate, or delete information in any data-driven system whether this system is online or offline and whether this system is a web or non-web-based. It is distinguished by the multiplicity of its performing methods, so defense techniques could not detect or prevent such attacks. The main objective of this paper is to create a reliable and accurate hybrid technique that secure systems from being exploited by SQL injection attacks. This hybrid technique combines static and runtime SQL queries analysis to create a defense strategy that can detect and prevent various types of SQL injection attacks. To evaluate this suggested technique, a large set of SQL queries have been executed through a simulation that had been developed. The results indicate that the suggested technique is reliable and more effective in capturing more SQL injection types compared to other SQL injection detection methods.

A Hybrid Technique for SQL Injection Attacks Detection and Prevention

SQL injection is a type of attacks used to gain, manipulate, or delete information in any data-driven system whether this system is online or offline and whether this system is a web or non -web -based. It is distinguished by the multiplicity of its performing methods, so defense techniques could not detect or prevent such attacks. The main objective of this paper is to create a reliable and accurate hybrid technique that secure systems from being exploited by SQL injection attacks. This hybrid technique combines static and runtime SQL queries analysis to create a defense strategy that can detect and prevent various types of SQL injection attacks. To evaluate this suggested technique, a large set of SQL queries have been executed through a simulation that had been developed. The results indicate that the suggested technique is reliable and more effective in capturing more SQL injection types compared to other SQL injection detection methods.

Injection, Detection, Prevention of SQL Injection Attacks

SQL injections have been always the top most priority for any website and web application. Every web application and website developed in php, asp.net, jsp which is connected to the database like MySQL, Microsoft SQL Server, and oracle are prone to SQL injection attacks. Most of the websites are created by using open source language such as php. The paper focuses the types of SQL injection attacks on the open source database in MySQL .The aim is to create a dummy web site where users can login and register. The attacker can login these dummy website using different types of SQL injection, make changes in the database, detect these types of attacks using IP tracking methods with their injection types and to prevent them. General Terms Web security, SQL injection, detection and prevention techniques.

Analysis of SQL Injection Attack

SQL injection attacks are a serious security threat to Web applications. They allow attackers to obtain unrestricted access to the databases underlying the applications and to the potentially sensitive information these database contain. Various researchers and practitioners have proposed various methods to address the SQL injection problem. To address this problem, we present an extensive review of the various types of SQL injection attacks known to date. For each type of attack, we provide descriptions and examples of how attacks of that type could be performed. We also present a methodology to prevent SQL injection attacks. It concentrates on the SQL queries and SQL stored procedure where input parameters are injected by the attacker. After a rigorous input validation with our proposed SQL security model will ensure input validation.

A Survey Of Sql Injection Countermeasures

SQL injection has become a predominant type of attacks that target web applications. It allows attackers to obtain unauthorized access to the back-end database to change the intended application-generated SQL queries. Researchers have proposed various solutions to address SQL injection problems. However, many of them have limitations and often cannot address all kinds of injection problems. What’s more, new types of SQL injection attacks have arisen over the years. To better counter these attacks, identifying and understanding existing countermeasures are very important. In this research , I had surveyed existing techniques against SQL injection attacks and analyzed their advantages and disadvantages. In addition, I identified techniques for building secure systems and applied them to my applications and database system, and illustrated how they were performed and the effect of them.