✍️ Introduction

Most hunters look for technical bugs:

  • XSS
  • SQLi
  • SSRF

But some of the highest payouts come from something else:

πŸ‘‰ Breaking how the system is supposed to work

No injection. No payload tricks.

Just:

πŸ’₯ Abusing logic to create real financial loss

🧠 The Goal of This Walkthrough

We're not just finding a logic flaw.

We're turning it into:

πŸ‘‰ direct financial impact

🧭 The Scenario (Realistic)

You're testing an e-commerce application.

Checkout flow:

  1. Add item
  2. Apply coupon
  3. Pay

πŸ” Step 1 β€” Understand the Flow

Captured request:

POST /apply-coupon
code=DISCOUNT10

πŸ‘‰ Works once (as expected)

⚠️ Most Hunters Stop Here

They confirm:

  • Coupon works
  • No obvious issue

πŸ‘‰ And move on

🧠 Step 2 β€” Break the Assumption

Ask:

πŸ‘‰ "What if I send this multiple times?"

πŸ”‘ Step 3 β€” Replay the Request

You send:

POST /apply-coupon
code=DISCOUNT10

Multiple times in quick succession.

πŸ‘‰ The system applies it multiple times

πŸ“Έ Screenshot β€” Coupon Applied Multiple Times

None
None
None
None
None
None

πŸ’₯ Step 4 β€” Escalate the Impact

Now:

  • Price = 100
  • Discount = 10%

After multiple requests:

πŸ‘‰ Price drops to near 0

πŸ’₯ Financial abuse confirmed

πŸ”₯ Step 5 β€” Combine With Timing (Race Condition)

You send:

πŸ‘‰ Multiple coupon requests at the same time

System processes all of them.

πŸ‘‰ Discount applied repeatedly without validation

πŸ’₯ Critical impact

🧭 What Just Happened

You chained:

  1. Business logic flaw (no limit enforcement)
  2. Request replay
  3. Race condition

πŸ‘‰ Final result:

πŸ’₯ Direct financial loss

⚠️ Why This Is High Severity

Because it affects:

  • πŸ’³ Revenue
  • πŸ“¦ Orders
  • πŸ’° Business operations

πŸ‘‰ This is what companies care about most

⚠️ Common Mistakes

❌ Only testing once ❌ Trusting UI restrictions ❌ Not replaying requests ❌ Ignoring timing attacks

🧠 Pro Techniques

πŸ”‘ 1. Always Test Repetition

If something should happen once:

πŸ‘‰ Try it multiple times

πŸ”‘ 2. Skip Steps

Try:

POST /checkout

Without applying coupon normally

πŸ‘‰ Backend may not validate flow

πŸ”‘ 3. Modify Values

Change:

price=100 β†’ price=1
quantity=1 β†’ quantity=10

πŸ‘‰ Check if backend trusts client

πŸ”‘ 4. Target Refunds & Credits

High-value targets:

  • Refund systems
  • Wallet credits
  • Gift cards

πŸ‘‰ Often vulnerable

πŸ”‘ 5. Combine With Race Conditions

Logic flaw + timing:

πŸ‘‰ Extremely powerful

πŸ’₯ Real Impact Scenario

Refund endpoint:

POST /refund
order_id=123

You send 5 requests at once.

System processes all 5.

πŸ‘‰ You get refunded 5 times

πŸ’₯ Direct financial loss β†’ Critical vulnerability

🧭 Why This Changes Your Level

Because:

πŸ‘‰ You're no longer finding "bugs"

πŸ‘‰ You're creating real-world impact

πŸš€ What's Next

πŸ‘‰ Next post:

🧠 How I Actually Hunt β€” The Ghostyjoeβ„’ Workflow

⚠️ Ethical Use Disclaimer

This content is for educational purposes only.

Only test systems you are authorized to test.

πŸ‘ Before You Go

If this helped you:

πŸ‘‰ Clap πŸ‘ πŸ‘‰ Follow πŸ‘‰ Share

β˜• Support

πŸ‘‰ https://buymeacoffee.com/ghostyjoe