Reflected XSS to Account Takeover: A Deep Dive Into a Real-World Attack Chain

Reflected XSS to Account Takeover: A Deep Dive Into a Real-World Attack Chain

November 30, 2025 8 min read

A detailed analysis of a reflected XSS flaw in a news platform that enabled session theft and account takeover across multiple regional programs.




Disclaimer

This article is for educational and defensive cybersecurity purposes only. No malicious activity was performed. All payloads, tools, and demonstrations were done in safe, controlled, and responsible environments. Never test real systems without explicit authorization.


Introduction

Reflected Cross-Site Scripting (XSS) continues to appear in production applications around the world. Even mature platforms with solid user interfaces can unintentionally expose dangerous injection points when older or unmaintained components are left running.

In this blog, I break down a real-world reflected XSS found by a security researcher in a widely used news platform. The vulnerability allowed session theft, full account takeover, and phishing-grade exploitation across six separate regional programs belonging to the same organization.

Although the payload and pop-ups shown in this case may appear simple, the underlying impact was significant. A single reflected XSS, combined with an external logging service and parameter discovery tools, turned into a dangerous attack chain.

This deep-dive will walk you through the researcher’s methodology, the technical flow, and the defensive measures every organization must adopt.


Understanding the Target Surface

The researcher started with broad reconnaissance to identify all assets within the scope of the organization. Instead of manually guessing subdomains, they used an online subdomain enumeration service:

  • Identified all hosted platforms
  • Grouped them by country
  • Focused on older assets using outdated stacks
  • Examined parameter-rich pages such as search, archive, and filtering interfaces

One of the regional news portals loaded older scripts and legacy services - a perfect spot for XSS testing.

A clean infographic showing a researcher mapping an organization’s attack surface, with subdomains feeding into a central dashboard highlighting legacy assets and search pages.


Step 1 - Reconnaissance & Subdomain Enumeration

Before any payload testing, the researcher needed visibility into the application ecosystem. They used a public subdomain discovery tool to enumerate the organization's assets.

Tool used

subdomainfinder.c99.nl

This provided a wide list of subdomains like:

  • archive.example-country.com
  • search.example-country.com
  • edition.example-country.com
  • legacy.example-country.com

These older sites often contain outdated input validation routines - making them ideal for injection testing.

Recon tips for beginners:

  • Always enumerate all subdomains
  • Focus on outdated technologies
  • Identify search and parameter-driven pages
  • Map request/response patterns using a proxy
  • Test quietly and safely without generating noise

Recon is often the difference between finding nothing and discovering impactful flaws.

Workflow diagram illustrating the reconnaissance process: subdomain discovery via magnifying glass, automated tools, passive sources like Wayback, leading to a list of target hosts.


Step 2 - Finding the Injection Point

The researcher focused on the search functionality of one regional platform. Search bars are classic XSS targets because:

  • They echo user input back onto the page
  • They rely on dynamic query parameters
  • Validation is often inconsistent
  • They are frequently overlooked by developers

After testing multiple payloads across different parameter variations, one eventually triggered a JavaScript execution.

The working payload was:

"><iframe/src="javascript:alert(1)>"autofocus>
HTTP

This simple payload caused a reflected XSS pop-up - confirming the vulnerability.

Why this payload worked

The input was:

  • Injected into the DOM without sanitation
  • Rendered inside an attribute
  • Parsed incorrectly due to unclosed quotes
  • Executed automatically because of autofocus

This gave the researcher a stable, reliable XSS on one of the company's active domains.

Concept diagram showing a web search input sending a query that is reflected into page HTML, highlighting the request-response loop and the DOM element where the payload executes.


Step 3 - Validating the XSS (Safe & Controlled)

The researcher didn’t escalate without validation. They:

  • Confirmed the payload worked consistently
  • Tested multiple devices/browsers
  • Verified execution only affected their account
  • Avoided stealing real user data
  • Ensured no sensitive information was exposed

A safe validation process is essential for responsible disclosure.

Beginners often rush to exploit impact without validating the context - avoid that mistake.

Screenshot of the browser showing the successful execution of the XSS payload, resulting in a visible alert popup.


Step 4 - Expanding the Attack Surface With ParamSpider

Reflected XSS can be trivial or devastating depending on reachability.

To expand the injection vectors, the researcher used:

ParamSpider
A tool that scrapes URLs and extracts potential GET parameters from:

  • WaybackMachine
  • sitemap.xml
  • robots.txt
  • Hyperlinks
  • Archived request logs

This tool allowed the researcher to discover additional parameters across the site:

  • ?query=
  • ?content=
  • ?search=
  • ?filter=
  • ?redirect=

Each parameter became a potential injection point for XSS payloads.

With more vectors discovered, the researcher now had paths for phishing, redirection, and eventual session hijacking setups.

Screenshot of the XSS Report dashboard showing the captured data from the vulnerability, illustrating the external logging capabilities.


Step 5 - Escalating Impact Using an External XSS Logging Service

Reflected XSS alone isn’t always impactful unless chained with a second-stage action. To escalate the impact, the researcher leveraged:

xss.report (a legitimate XSS testing/logging service)

The platform generates payloads that, when executed, capture:

  • Victim’s IP
  • User-agent
  • Cookies/session info (if accessible)
  • Browser metadata
  • Referrer details
  • Any custom logged variables

The dashboard then displays this information in real time.

Example usage

The service provides polyglot payloads that can be inserted into vulnerable parameters.

When the victim loads the link:

  • The payload executes
  • Information is logged
  • Researcher receives details in the dashboard

This is how session hijacking becomes possible - but only if the platform lacks cookie flags like HttpOnly, Secure, or proper session regeneration.

Illustration of an XSS attack chain showing the malicious link, the victim's browser executing the payload, and data being sent to an external logging service dashboard.


Step 6 - Weaponizing the Payload (Ethically and Safely)

Armed with ParamSpider’s discovered parameters and xss.report’s dynamic payloads, the researcher generated a harmless proof-of-concept link.

This link:

  • Contained an encoded XSS payload
  • Automatically executed when visited
  • Logged the session information into the researcher’s dashboard

By responsibly testing with their own sessions only, the researcher confirmed:

  • Session tokens were not protected using HttpOnly
  • Cookies were accessible via JavaScript
  • Account takeover was theoretically possible

This formed the basis of the responsible disclosure report.

Checklist-style graphic showing safe testing steps: confirm only own sessions, no data harvesting, responsible disclosure, and redaction, with a green checkmark theme.


Step 7 - Impact Overview

The XSS vulnerability existed across six country-specific news domains belonging to the same company. This significantly increased the severity because:

  • Each domain had millions of monthly visitors
  • Many users stayed logged in for personalized news
  • The same vulnerability pattern repeated across multiple properties
  • A malicious attacker could automate exploitation across all portals

Potential impact

Impact Description
Account Takeover If sessions were accessible, attackers could fully access user accounts
Cookie Theft Missing HttpOnly allowed JavaScript to read session cookies
Phishing Weaponization Injected payloads could redirect users to credential-harvesting pages
Privacy Exposure Victim metadata logged in external services
Mass Exploitation Six programs were affected due to code reuse

This impact demonstrates how a simple XSS becomes high severity when:

  • Located on a high-traffic site
  • Combined with session misconfigurations
  • Exploitable across multiple domains

Impact matrix infographic showing four cells: Account Takeover, Cookie Theft, Phishing Weaponization, and Mass Exploitation, each with a descriptive icon.


Step 8 - Responsible Disclosure

The researcher followed the proper responsible disclosure flow:

  • Documented payload behavior
  • Recorded responses
  • Captured the affected endpoints
  • Submitted reports to each regional bug bounty program
  • Avoided real exploitation
  • Tested only their own session tokens
  • Avoided harvesting real user data
  • Presented mitigation steps

Six reports were marked as duplicates because the issue affected each regional variant, but the researcher still fulfilled the ethical expectation of reporting everything.


Understanding Why Reflected XSS Still Happens Today

Despite being one of the oldest web vulnerabilities, reflected XSS remains common because of:

  • Legacy codebases still in production
  • Unmaintained templates and outdated frameworks
  • Direct DOM injection without sanitization
  • Query parameters being echoed without encoding
  • Lack of modern security headers
  • Development teams assuming search inputs are safe
  • Improper testing for edge-case payloads

Organizations must treat even minor UI fields as potential injection surfaces.


Defensive Perspective

To protect against reflected XSS and prevent similar account takeover risks, organizations must adopt a layered security model.

Required Fixes

  1. Output Encoding
    Use proper HTML-encoding (&lt;, &gt;, &quot;) before reflecting user input.
  2. Input Validation
    Reject suspicious characters like <, ", ', > when not required.
  3. Content Security Policy (CSP)
    Deploy strict CSP rules to prevent inline scripts:
  • script-src 'self'
  • Avoid using unsafe-inline
  • Lock down third-party domains
  1. HttpOnly & Secure Cookies
    Mark authentication cookies as:
  • HttpOnly → prevents JavaScript access
  • Secure → requires HTTPS
  • SameSite → prevents CSRF
  1. Escaping inside Attributes
    Use proper attribute escaping when injecting values into HTML attributes.
  2. Automated XSS scanning
    Run tools like:
  • Burp Suite’s Active Scanner
  • ZAP’s XSS scanning module
  • Nuclei templates
  • GitHub CodeQL
  1. Legacy code audits
    Audit all frames, templates, and old rendering engines.

Layered security diagram for XSS prevention showing input validation, output encoding, Content Security Policy (CSP), secure cookies, and automated scanning shields.


Troubleshooting & Pitfalls

Many developers assume:

  • “It’s just a search bar - harmless.”
  • “Nobody will guess this parameter.”
  • “JavaScript URLs never execute.”
  • “We sanitized input in one location - we’re safe.”

But reflected XSS often appears:

  • In error messages
  • In templated HTML emails
  • In outdated UI sections
  • In untested alternative parameters
  • In archived or regional versions

Security teams must test entire ecosystems - not just primary URLs.


Final Thoughts

This case highlights how a simple reflected XSS can escalate into a severe security risk when combined with:

  • Poor cookie security
  • Reused code across multiple regions
  • Dynamic payload generation services
  • Weak CSP policies
  • Legacy search pages

Modern attackers do not rely solely on advanced exploitation. They use chaining - combining small cracks to form a large breach. This is why even “simple XSS” is powerful when applied in the right context.

Reflected XSS remains one of the most common - and most dangerous - vulnerabilities in the real world. Organizations must invest in:

  • Strong validation
  • Solid output encoding
  • Secure cookie flags
  • Proper content security policies

Ultimately, this finding reinforces an important reminder:

Never underestimate the impact of reflected XSS.

Stay safe, stay ethical, and always disclose responsibly.

A concise ‘next steps’ card visual listing actionable items: Audit legacy pages, enable HttpOnly, deploy CSP, and run param scanning.

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Herish Chaniyara

Herish Chaniyara

Web Application Penetration Tester (VAPT) & Security Researcher. A Gold Microsoft Student Ambassador and PortSwigger Hall of Fame (#59) member dedicated to securing the web.

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For any queries or professional discussions: herish.chaniyara@gmail.com