Analysis of SQL Injection Detection Techniques

SQL Injection is one of the vulnerabilities in OWASPs Top Ten List for Web Based Application Exploitation.These types of attacks takes place on Dynamic Web applications as they interact with the databases for the various operations.Current Content Management System like Drupal, Joomla or Wordpress have all the information stored in their databases. A single intrusion into these types of websites can lead to overall control of websites by the attacker. Researchers are aware of the basic SQL Injection attacks but there are numerous SQL Injection attacks which are yet to be Prevented and Detected. Over here, we present the extensive review for the Advanced SQL Injection attack such as Fast Flux Sql Injection, Compounded SQL Injection and Deep Blind SQL Injection. We also analyze the detection and prevention using the classical methods as well as modern approaches. We will be discussing the Comparative Evaluation for prevention of SQL Injection

Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture

This paper presents an improvement of the SCMAS architecture aimed at securing SQL-run databases. The main goal of such architecture is the detection and prevention of SQL injection attacks. The improvement consists in the incorporation of unsupervised projection models for the visual inspection of SQL traffic. Through the obtained projections, SQL injection queries can be identified and subsequent actions can be taken. The proposed approach has been tested on a real dataset, and the obtained results are shown.This paper presents an improvement of the SCMAS architecture aimed at securing SQL-run databases. The main goal of such architecture is the detection and prevention of SQL injection attacks. The improvement consists in the incorporation of unsupervised projection models for the visual inspection of SQL traffic. Through the obtained projections, SQL injection queries can be identified and subsequent actions can be taken. The proposed approach has been tested on a real dataset, and the obtained results are shown

Runtime Detection and Prevention for Structure Query Language Injection Attacks

The use of Internet services and web applications has grown rapidly because of user demand. At the same time, the number of web application vulnerabilities has increased as a result of mistakes in the development where some developers gave the security aspect a lower priority than aspects like application usability. An SQL (structure query language) injection is a common vulnerability in web applications as it allows the hacker or illegal user to have access to the web application’s database and therefore damage the data, or change the information held in the database. This thesis proposes a new framework for the detection and prevention of new and common types of SQL injection attacks. The programme of research is divided in several work packages that start from addressing the problem of the web application in general and SQL injection in particular and discuss existing approaches. The other work packages follow a constructive research approach. The framework considers existing and new SQL injection attacks. The framework consists of three checking components; the first component will check the user input for existing attacks, the second component will check for new types of attacks, and the last component will block unexpected responses from the database engine. Additionally, our framework will keep track of an ongoing attack by recording and investigating user behaviour. The framework is based on the Anatempura tool, a runtime verification tool for Interval Temporal Logic properties. Existing attacks and good/bad user behaviours are specified using Interval Temporal Logic, and the detection of new SQL injection attacks is done using the database observer component. Moreover, this thesis discusses a case study where various types of user behaviour are specified in Interval Temporal Logic and show how these can be detected. The implementation of each component has been provided and explained in detail showing the input, the output and the process of each component. Finally, the functionality of each checking component is evaluated using a case study. The user behaviour component is evaluated using sample attacks and normal user inputs. This thesis is summarized at the conclusion chapter, the future work and the limitations will be discussed. This research has made the following contributions: • New framework for detection and prevention of SQL injection attacks. • Runtime detection: use runtime verification technique based on Interval Temporal logic to detect various types of SQL injection attacks. • Database observer: to detect possible new injection attacks by monitoring database transactions. • User’s behaviour: investigates related SQL injection attacks using user input, and providing early warning against SQL injection attacks

Taxonomy of SQL Injection: ML Trends & Open Challenges

SQL injections are a significant and ever-present threat to web applications and database security. During these attacks, malicious SQL statements are injected into input fields of data-driven systems, leading to unauthorized access and data breaches. Consequently, a need is generated to understand the nature of the attacks, detection, and effective prevention techniques. This research paper focuses on providing a taxonomy and comprehensive survey of SQL injection attacks, detection, and prevention, including their various types and techniques. Additionally, it explores the current state-of-the-art and evaluation for attacks, detection, and prevention techniques. This research paper also discusses and provides a taxonomy of current machine learning (ML) trends (Taxonomy) and their open challenges for detection purposes. Finally, this paper ends with a discussion aiming to equip system administrators, researchers, scientists and practitioners with the knowledge and strategies to mitigate the risks associated with SQL injection attacks effectively. Eventually, this will help to enhance the security and resilience of web applications and databases in the face of this significant threat

Survey and Comparative Analysis of SQL Injection Attacks, Detection and Prevention Techniques for Web Applications Security

Web applications witnessed a rapid growth for online business and transactions are expected to be secure, efficient and reliable to the users against any form of injection attacks. SQL injection is one of the most common application layer attack techniques used today by hackers to steal data from organizations. It is a technique that exploits a security vulnerability occurring in the database layer of a web application. The attack takes advantage of poor input validation in code and website administration. It allows attackers to obtain illegitimate access to the backend database to change the intended application generated SQL queries. . In spite of the development of different approaches to prevent SQL injection, it still remains a frightening risk to web applications. In this paper, we present a detailed review on various types of SQL injection attacks, detection and prevention techniques, and their comparative analysis based on the performance and practicality. DOI: 10.17762/ijritcc2321-8169.150613

Unsupervised Visualization of SQL Attacks by Means of the SCMAS Architecture

This paper presents an improvement of the SCMAS architecture aimed at securing SQL-run databases. The main goal of such architecture is the detection and prevention of SQL injection attacks. The improvement consists in the incorporation of unsupervised projection models for the visual inspection of SQL traffic. Through the obtained projections, SQL injection queries can be identified and subsequent actions can be taken. The proposed approach has been tested on a real dataset, and the obtained results are shown

Reverse Proxy Framework using Sanitization Technique for Intrusion Prevention in Database

With the increasing importance of the internet in our day to day life, data security in web application has become very crucial. Ever increasing on line and real time transaction services have led to manifold rise in the problems associated with the database security. Attacker uses illegal and unauthorized approaches to hijack the confidential information like username, password and other vital details. Hence the real time transaction requires security against web based attacks. SQL injection and cross site scripting attack are the most common application layer attack. The SQL injection attacker pass SQL statement through a web applications input fields, URL or hidden parameters and get access to the database or update it. The attacker take a benefit from user provided data in such a way that the users input is handled as a SQL code. Using this vulnerability an attacker can execute SQL commands directly on the database. SQL injection attacks are most serious threats which take users input and integrate it into SQL query. Reverse Proxy is a technique which is used to sanitize the users inputs that may transform into a database attack. In this technique a data redirector program redirects the users input to the proxy server before it is sent to the application server. At the proxy server, data cleaning algorithm is triggered using a sanitizing application. In this framework we include detection and sanitization of the tainted information being sent to the database and innovate a new prototype.Comment: 9 pages, 6 figures, 3 tables; CIIT 2013 International Conference, Mumba

Systematic literature review on SQL injection attack

SQL injection attack is a common threat to web applications that utilizes poor input validation to implement attack on a target database. It is becoming a very serious problem in web applications as successful execution leads to loss of integrity and confidentiality and this makes it a very sensitive issue of software security. The study presents a Systematic Literature Review (SLR) on SQL Injection Attacks (SQLIA) following Kitchenham's procedure of performing systematic literature review. This study gives a review on SQL injection attack, detection and prevention techniques. In the end, an evaluation of the techniques is carried out to check the effectiveness of each technique based on how many method of attack it can detect and prevent. It is imperative to note that a good number of the evaluated techniques were able to detect and prevent all types of SQLIA based on the selected criteria. To determine the best technique resources such as memory and processing time need to be considered in the evaluation