βοΈ Introduction
Most hunters look for technical bugs:
- XSS
- SQLi
- SSRF
But some of the highest payouts come from something else:
π Breaking how the system is supposed to work
No injection. No payload tricks.
Just:
π₯ Abusing logic to create real financial loss
π§ The Goal of This Walkthrough
We're not just finding a logic flaw.
We're turning it into:
π direct financial impact
π§ The Scenario (Realistic)
You're testing an e-commerce application.
Checkout flow:
- Add item
- Apply coupon
- Pay
π Step 1 β Understand the Flow
Captured request:
POST /apply-coupon
code=DISCOUNT10π Works once (as expected)
β οΈ Most Hunters Stop Here
They confirm:
- Coupon works
- No obvious issue
π And move on
π§ Step 2 β Break the Assumption
Ask:
π "What if I send this multiple times?"
π Step 3 β Replay the Request
You send:
POST /apply-coupon
code=DISCOUNT10Multiple times in quick succession.
π The system applies it multiple times
πΈ Screenshot β Coupon Applied Multiple Times
π₯ Step 4 β Escalate the Impact
Now:
- Price = 100
- Discount = 10%
After multiple requests:
π Price drops to near 0
π₯ Financial abuse confirmed
π₯ Step 5 β Combine With Timing (Race Condition)
You send:
π Multiple coupon requests at the same time
System processes all of them.
π Discount applied repeatedly without validation
π₯ Critical impact
π§ What Just Happened
You chained:
- Business logic flaw (no limit enforcement)
- Request replay
- Race condition
π Final result:
π₯ Direct financial loss
β οΈ Why This Is High Severity
Because it affects:
- π³ Revenue
- π¦ Orders
- π° Business operations
π This is what companies care about most
β οΈ Common Mistakes
β Only testing once β Trusting UI restrictions β Not replaying requests β Ignoring timing attacks
π§ Pro Techniques
π 1. Always Test Repetition
If something should happen once:
π Try it multiple times
π 2. Skip Steps
Try:
POST /checkoutWithout applying coupon normally
π Backend may not validate flow
π 3. Modify Values
Change:
price=100 β price=1
quantity=1 β quantity=10π Check if backend trusts client
π 4. Target Refunds & Credits
High-value targets:
- Refund systems
- Wallet credits
- Gift cards
π Often vulnerable
π 5. Combine With Race Conditions
Logic flaw + timing:
π Extremely powerful
π₯ Real Impact Scenario
Refund endpoint:
POST /refund
order_id=123You send 5 requests at once.
System processes all 5.
π You get refunded 5 times
π₯ Direct financial loss β Critical vulnerability
π§ Why This Changes Your Level
Because:
π You're no longer finding "bugs"
π You're creating real-world impact
π What's Next
π Next post:
π§ How I Actually Hunt β The Ghostyjoeβ’ Workflow
β οΈ Ethical Use Disclaimer
This content is for educational purposes only.
Only test systems you are authorized to test.
π Before You Go
If this helped you:
π Clap π π Follow π Share