Web-based applications has turn out to be very prevalent due to the ubiquity of web browsers to deliver service oriented application on-demand to diverse client over the Internet and cross site scripting (XSS) attack is a foremost security risk that has continuously ravage the web applications over the years. This paper critically examines the concept of XSS and some recent approaches for detecting and preventing XSS attacks in terms of architectural framework, algorithm used, solution location, and so on. The techniques were analysed and results showed that most of the available recognition and avoidance solutions to XSS attacks are more on the client end than the server end because of the peculiar nature of web application vulnerability and they also lack support for self-learning ability in order to detect new XSS attacks. Few researchers as cited in this paper inculcated the self-learning ability to detect and prevent XSS attacks in their design architecture using artificial neural networks and soft computing approach; a lot of improvement is still needed to effectively and efficiently handle the web application security menace as recommended.

/pdf/cross-site-scripting-attacks-in-web-based-applications-4i8tdcdbjs.pdf

Cross Site Scripting Attacks in Web-Based Applications:

Application uses URL as contribution for Web Application Vulnerabilities recognition. if the length of URL is too long then it will consume more time to scan the URL (Ain Zubaidah et.al 2014).Existing system can notice the web pages but not overall web application. This application will test for URL of any length using String matching algorithm. To avoid XSS and CSRF and detect attacks that try to sidestep program upheld arrangements by white list and DOM sandboxing techniques (Elias Athanasopoulos et.al.2012). The web application incorporates a rundown of cryptographic hashes of legitimate (trusted) client side contents. In the event that there is a cryptographic hash for the content in the white list. On the off chance that the hash is discovered the content is viewed as trusted or not trusted. This application makes utilization of SHA-1 for making a message process. The web server stores reliable scripts inside div or span HTML components that are attribute as reliable. DOM sandboxing helps in identifying the script or code. Partitioning Program Symbols into Code and Non-code. This helps to identify any hidden code in trusted tag, which bypass web server. Scanning the website for detecting the injection locations and injecting the mischievous XSS assault vectors in such infusion focuses and check for these assaults in the helpless web application( Shashank Gupta et.al 2015).The proposed application improve the false negative rate.  

/pdf/web-application-vulnerability-detection-using-hybrid-string-15o5hwivsu.pdf

Web Application Vulnerability Detection Using Hybrid String Matching Algorithm

We are increasingly relying on web, and performing important transactions online through it. The impact and quantity of security vulnerabilities in such applications has increased in recent years. Regular expression has become a common practice to ensure execution of trusted application code. However, its effectiveness in protecting client-side web application code has not yet been established. In this paper, we seek to study the efficacy of regular expression based approach for preventing script injection attacks. The paper proposes an efficient use of regular expressions to identify malicious payload contents. This paper analyzes important aspects in content injection attacks. The goals of this research work are two-fold: i) propose an efficient way to identify content injection attacks (XSS and SQL injection) using regular expressions, and ii) We present a Nondeterministic Finite Automata (NFA) based approach to detect content injection attacks. Our evaluation on Alexas top 500 sites and phpBB popular PHP application shows that the proposed approach effective on preventing content injection attacks on the input fields available on those websites. The proposed approach incurs an average performance overhead of 1.02%. Keywords—Regular expression, Content Injection, Crosssite scripting, SQL injection, injection attacks.

The Code Sanitizer: Regular Expression Based Prevention of Content Injection Attacks

In this digital era, organizations and industries are moving towards replacing websites with web applications for many obvious reasons. With this transition towards web-based applications, organizations and industries find themselves surrounded by several threats and vulnerabilities. One of the largest concerns is keeping their infrastructure safe from attacks and misuse. Web security entails applying a set of procedures and practices, by applying several security principles at various layers to protect web servers, web users, and their surrounding environment. In this paper, we will discuss several attacks that may affect web-based applications namely: SQL injection attacks, cookie poisoning, cross-site scripting, and buffer overflow. Additionally, we will discuss detection and prevention methods from such attacks.

Security vulnerabilities related to web-based data

: Different kind of Web Application run with help of web server using World Wide Web protocol and many of web application could be vulnerable with SQL Injection attacks this is the type of input validation attacks. Using this type of attacks, web application could be hacked easily and steal the confidential data by the anonymous user. This may be dangerous for organization market value. Keyword: SQLInjection Attacks, Static Analysis, Dynamic analysis, Detection, Prevention

Prevention and Detection Techniques for SQL Injection Attacks

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Prevention and Detection Techniques for SQL Injection Attacks