Understanding the XSS Threat: A Comprehensive Guide to DOM Based Cross Site Scripting Vulnerability

Amit Kumar Biswas @Amitlt2
7 min readJan 23, 2023

Cross-site scripting (XSS) has become one of the most common security vulnerabilities and a major threat to online security. It is a type of attack that allows malicious actors to inject client-side scripts into web pages, which can be used to steal personal information, hijack user sessions, and more. The complexity and variety of XSS attacks make them difficult to detect and prevent.

One type of XSS attack that is gaining in popularity is DOM-based XSS. In this article, we’ll explore what DOM-based XSS is, how it differs from traditional XSS, the root causes of DOM XSS, how to find a DOM XSS vulnerability, the impact of DOM XSS, techniques for securing against DOM XSS, best practices for finding and fixing DOM XSS, tools for detecting and preventing DOM XSS, and resources for learning more about DOM XSS.

What is DOM-Based Cross-Site Scripting (XSS)?

DOM-based XSS is a type of cross-site scripting attack that takes advantage of vulnerabilities in the Document Object Model (DOM) of a web page. The DOM is a programming interface that allows web browsers to access and manipulate the content of a web page, such as text, images, and other elements.

DOM XSS attacks occur when a malicious actor can inject malicious code into the DOM of a web page. This code can then be used to hijack user sessions, steal personal information, and more. Unlike traditional XSS attacks, which are usually done through HTML or JavaScript code, DOM-based XSS attacks are done through the DOM itself.

One of the most common ways that a malicious actor can inject malicious code into the DOM of a web page is by using a specially crafted URL. This URL can be sent to a user through email, social media, or other means, and when the user clicks on the URL, the malicious code is injected into the DOM of the web page.

How DOM-Based XSS is Different From Traditional XSS

DOM-based XSS attacks differ from traditional XSS attacks in several ways. Traditional XSS attacks are done through HTML or JavaScript code, while DOM-based XSS attacks are done through the DOM itself. Additionally, DOM-based XSS attacks are usually done through specially crafted URLs, while traditional XSS attacks can be done through other means such as malicious code in web forms.

Another difference between DOM-based XSS and traditional XSS is that DOM-based XSS attacks are often more difficult to detect and prevent. Traditional XSS attacks can be detected by scanning for malicious code, but DOM-based XSS attacks can be more difficult to detect because the malicious code is not visible in the HTML or JavaScript code of the web page.

Exploring the Root Causes of DOM-Based XSS

The root causes of DOM-based XSS are the same as those of traditional XSS: insecure coding practices, inadequate input validation, and insufficient output encoding.

Insecure coding practices can lead to DOM XSS vulnerabilities if a web developer fails to properly validate user input. For example, if a web developer fails to properly check the source of a URL before loading it, a malicious actor can craft a URL that contains malicious code and inject it into the DOM of the web page.

Inadequate input validation can also lead to DOM XSS vulnerabilities. If a web developer fails to properly validate user input, a malicious actor can use specially crafted input to inject malicious code into the DOM of the web page.

Finally, insufficient output encoding can also lead to DOM XSS vulnerabilities. If a web developer fails to properly encode user input, a malicious actor can use specially crafted input to inject malicious code into the DOM of the web page.

Finding a DOM XSS Vulnerability

Finding a DOM XSS vulnerability can be a challenging task, but some steps can be taken to identify potential vulnerabilities. The first step is to identify the sources of user input. These can include web forms, URL parameters, and cookies.

Once the sources of user input have been identified, the next step is to analyze the code to look for vulnerabilities. This can include looking for any code that does not properly validate, encode, or sanitize user input. Any code that does not properly validate, encode, or sanitize user input should be marked as a potential vulnerability.

The final step in finding a DOM XSS vulnerability is to test any potential vulnerabilities. This can be done by crafting a URL that contains malicious code and sending it to a user, or by using automated tools to scan for potential vulnerabilities.

Exploring the Impact of DOM-Based XSS

DOM-based XSS attacks can have a significant impact on a web application or website. The most common impact is the theft of user data, such as passwords and credit card numbers. DOM-based XSS attacks can also be used to hijack user sessions, redirect users to malicious websites, and more.

The impact of a DOM XSS attack can depend on the type of attack and the level of access the malicious actor has. For example, if a malicious actor has administrative access to the web application or website, they can use a DOM XSS attack to gain access to confidential data, modify the web application, and more.

Techniques for Securing Against DOM-Based XSS

The best way to secure against DOM-based XSS attacks is to follow secure coding practices. This includes properly validating, encoding, and sanitizing user input, and avoiding the use of eval(), innerHTML(), and other potentially dangerous functions.

It is also important to use web application firewalls (WAFs) and other security tools to detect and prevent DOM-based XSS attacks. WAFs can be used to detect and block malicious URLs and other suspicious activity. Additionally, automated tools can be used to scan for potential vulnerabilities and test for DOM XSS attacks.

Finally, it is important to monitor user activity and web application logs to look for suspicious activity. This can help to identify any potential DOM XSS attacks before they can cause significant damage.

The Best Practices for Finding and Fixing DOM Based XSS

Finding and fixing DOM-based XSS vulnerabilities can be a challenging task, but some best practices can help to make the process easier.

The first step is to identify the sources of user input. This can include web forms, URL parameters, and cookies. Once the sources of user input have been identified, the next step is to analyze the code to look for vulnerabilities. This can include looking for any code that does not properly validate, encode, or sanitize user input. Any code that does not properly validate, encode, or sanitize user input should be marked as a potential vulnerability.

Once potential vulnerabilities have been identified, the next step is to test them. This can be done by crafting a URL that contains malicious code and sending it to a user, or by using automated tools to scan for potential vulnerabilities.

Once potential vulnerabilities have been identified and tested, the next step is to fix them. This can be done by correcting any insecure coding practices, properly validating user input, encoding user input, and properly sanitizing user input.

Finally, it is important to deploy the fixes and monitor user activity and web application logs to look for any suspicious activity. This can help to ensure that any potential DOM XSS attacks are identified and addressed before they can cause significant damage.

Tools for Detecting and Preventing DOM-Based XSS

Several tools can be used to detect and prevent DOM-based XSS attacks. These include web application firewalls (WAFs), automated scanners, and intrusion detection systems (IDS).

Web application firewalls (WAFs) can be used to detect and block malicious URLs and other suspicious activity. Automated scanners can be used to scan for potential vulnerabilities and test for DOM XSS attacks. Intrusion detection systems (IDS) can be used to monitor user activity and web application logs to look for suspicious activity.

Resources for Learning More About DOM-Based XSS

If you’re interested in learning more about DOM-based XSS, there are several resources available. The OWASP website has a comprehensive guide to DOM-based XSS, as well as a list of tools for detecting and preventing DOM XSS. Additionally, the SANS Institute has a comprehensive guide to DOM-based XSS, as well as a list of resources for learning more about DOM XSS.

Finally, there are several books available that can provide a more in-depth look at DOM-based XSS. These include “Web Application Security: A Comprehensive Guide to Cross Site Scripting” by Don Parker, “Cross Site Scripting Attacks: Detection, Prevention, and Response” by Rob Ragan and Geoffrey Grosenbach, and “The Definitive Guide to Cross Site Scripting” by Robert Hansen and Jeremiah Grossman.

Conclusion

Cross-site scripting (XSS) is a major threat to online security and one of the most common security vulnerabilities. DOM-based XSS is a type of XSS attack that takes advantage of vulnerabilities in the Document Object Model (DOM) of a web page. In this article, we explored what DOM-based XSS is, how it differs from traditional XSS, the root causes of DOM XSS, how to find a DOM XSS vulnerability, the impact of DOM XSS, techniques for securing against DOM XSS, best practices for finding and fixing DOM XSS, tools for detecting and preventing DOM XSS, and resources for learning more about DOM XSS.

By understanding the threat posed by DOM-based XSS and following secure coding practices and best practices for finding and fixing DOM XSS vulnerabilities, organizations can protect their web applications and websites from malicious actors. Additionally, using web application firewalls (WAFs), automated scanners, and intrusion detection systems (IDS) can help to detect and prevent DOM XSS attacks.

Tools

Dalfox:- https://github.com/hahwul/dalfox

FinDOM Xss:- https://github.com/dwisiswant0/findom-xss

OWASP Xenotix XSS Exploit Framework:- https://github.com/ajinabraham/OWASP-Xenotix-XSS-Exploit-Framework

DOMXssFinder:- https://github.com/ariary/DomXssFinder

Reports

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Happy Hacking!!!

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Amit Kumar Biswas @Amitlt2

Cyber Security Analyst at @avalanceGlobalSolutions | Security Researcher in | Cyber Security Researcher in Microsoft & Bugcrowd | R&D in Smart Contract |