ow I Discovered and Exploited Business Logic Flaws in Modern Web Applications

๐Ÿ‘จโ€๐Ÿ’ป About Me

Hi, I'm Montaser โ€” a security researcher and bug bounty hunter passionate about discovering real-world vulnerabilities in modern web applications.

I focus primarily on business logic flaws, race conditions, and access control issues, as they often lead to impactful vulnerabilities that are overlooked by traditional security testing.

In this article, I'll walk you through two real-world vulnerabilities I discovered, both involving race conditions that allowed me to bypass platform-enforced limits.

โšก Understanding Race Conditions

A race condition occurs when multiple requests are processed at the same time, and the system fails to properly synchronize them.

This can lead to unexpected behavior โ€” especially when the application relies on checks like:

  • Limits (e.g., number of projects or groups)
  • Balances
  • Permissions

If these checks are not atomic, they can be bypassed.

๐Ÿงฉ Vulnerability #1: Bypassing Project Limits

๐Ÿ“ Overview

In this case, a platform restricted free-tier users to a maximum of 3 projects per organization.

However, I discovered that this limit could be bypassed using concurrent requests.

๐Ÿ” Root Cause

The backend performed a quota check like:

"Does the user have less than 3 projects?"

But the issue was:

  • The check was not atomic
  • Multiple requests were validated at the same time
  • Each request passed before the database was updated

๐Ÿ› ๏ธ Exploitation Steps

Here's how I exploited it:

  1. Created an organization with fewer than 3 projects
  2. Intercepted the project creation request
  3. Sent it to a repeater tool
  4. Duplicated the request 20โ€“50 times
  5. Used a parallel request tool to send them simultaneously

๐Ÿ’ฅ Result

  • All requests returned 200 OK
  • The organization ended up with 11 projects instead of 3

๐Ÿšจ Impact

This vulnerability allowed:

  • Bypassing subscription limits
  • Using paid features for free
  • Breaking billing logic
  • Potential large-scale abuse

This is a serious business logic flaw affecting platform integrity.

๐Ÿงฉ Vulnerability #2: Group Limit Bypass

๐Ÿ“ Overview

In another platform, users were limited to 10 groups per account.

But using the same race condition technique, I was able to exceed this limit.

๐Ÿ” Root Cause

Similar to the first case:

  • The system checked the number of groups
  • But did not enforce the check atomically
  • Concurrent requests bypassed the restriction

๐Ÿ› ๏ธ Exploitation Steps

  1. Logged into a normal user account
  2. Ensured I had fewer than 10 groups
  3. Intercepted the group creation request
  4. Sent it to a repeater/intruder
  5. Fired 20โ€“25 parallel requests

๐Ÿ’ฅ Result

  • All requests succeeded
  • The account ended up with 24 groups instead of 10

๐Ÿšจ Impact

This issue could lead to:

  • Abuse of platform resources
  • Circumvention of product limitations
  • Performance degradation
  • Exploitation of group-based features at scale

๐Ÿง  Why These Bugs Matter

Race conditions are often underestimated because:

  • They don't rely on complex payloads
  • They don't require special access
  • They are easy to automate

Yet, they can directly impact:

  • ๐Ÿ’ฐ Revenue (bypassing paid plans)
  • โš™๏ธ System stability
  • ๐Ÿ“Š Business logic integrity

๐Ÿ›ก๏ธ How to Fix These Issues

To prevent such vulnerabilities, developers should:

  • Use atomic operations for quota checks
  • Implement database transactions
  • Apply row-level locking
  • Re-validate constraints after insertion
  • Add rate limiting for sensitive endpoint

Thanks for reading ๐Ÿ™ I'll keep sharing more from my bug bounty journey.

Feel free to connect or share your thoughts

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