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Course 3 - Mastering Nuclei for Bug Bounty | Episode 7: Exploiting Business Logic Flaws and Achieving Multiple Redemptions
In this lesson, you’ll learn about:
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
- Race conditions — definition & impact: concurrency bugs that occur when multiple requests/threads read/write the same resource simultaneously; often business‑logic flaws (e.g., redeeming a single‑use coupon multiple times) that can cause direct financial loss.
- Common targets & scenarios: single‑use tokens, gift cards, coupon redemptions, inventory decrements, account balance updates, and other stateful operations that must be atomic.
- Detection approaches:
- Identify endpoints that perform state changes (POST/PUT) with weak server‑side atomicity.
- Look for operations lacking proper locking, transactional guarantees, or server‑side checks.
- Reproduce by sending many near‑simultaneous requests and observing duplicate successful responses.
- Nuclei race‑testing (template features):
- Use method: post (or appropriate method) and set the request body with the token/coupon.
- Enable concurrency testing with race: true and control parallelism via race-count: (e.g., race-count: 10).
- Match on success by expecting multiple status: 200 responses or other success indicators to confirm the race exploit.
- Alternative tooling: Turbo Intruder (Burp) is commonly used for high‑precision, high‑concurrency tests when fine control over timing is required.
- Practical workflow:
- Reconstruct the raw request (proxy via Burp).
- Build and validate a Nuclei template (or Turbo script).
- Run against a safe/staging target with controlled race‑count.
- Inspect timestamps/responses to confirm simultaneous requests and duplicated success.
- Real‑world example & rewards: many real bounties (e.g., HackerOne reports) stem from race exploits that allow multiple redemptions; successful findings can yield high rewards because they directly translate to monetary impact.
- Mitigations & secure design:
- Enforce server‑side atomic operations (database transactions, row‑level locking).
- Use optimistic locking with version checks or strong uniqueness constraints.
- Implement server‑side one‑time token invalidation that’s atomic.
- Rate‑limit and monitor suspicious concurrent attempts on critical endpoints.
- Ethics & safety: only test race conditions on systems you are authorized to test (staging or explicitly in‑scope targets), because aggressive concurrent tests can disrupt services.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
View all episodes
By CyberCode AcademyIn this lesson, you’ll learn about:
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy
- Race conditions — definition & impact: concurrency bugs that occur when multiple requests/threads read/write the same resource simultaneously; often business‑logic flaws (e.g., redeeming a single‑use coupon multiple times) that can cause direct financial loss.
- Common targets & scenarios: single‑use tokens, gift cards, coupon redemptions, inventory decrements, account balance updates, and other stateful operations that must be atomic.
- Detection approaches:
- Identify endpoints that perform state changes (POST/PUT) with weak server‑side atomicity.
- Look for operations lacking proper locking, transactional guarantees, or server‑side checks.
- Reproduce by sending many near‑simultaneous requests and observing duplicate successful responses.
- Nuclei race‑testing (template features):
- Use method: post (or appropriate method) and set the request body with the token/coupon.
- Enable concurrency testing with race: true and control parallelism via race-count: (e.g., race-count: 10).
- Match on success by expecting multiple status: 200 responses or other success indicators to confirm the race exploit.
- Alternative tooling: Turbo Intruder (Burp) is commonly used for high‑precision, high‑concurrency tests when fine control over timing is required.
- Practical workflow:
- Reconstruct the raw request (proxy via Burp).
- Build and validate a Nuclei template (or Turbo script).
- Run against a safe/staging target with controlled race‑count.
- Inspect timestamps/responses to confirm simultaneous requests and duplicated success.
- Real‑world example & rewards: many real bounties (e.g., HackerOne reports) stem from race exploits that allow multiple redemptions; successful findings can yield high rewards because they directly translate to monetary impact.
- Mitigations & secure design:
- Enforce server‑side atomic operations (database transactions, row‑level locking).
- Use optimistic locking with version checks or strong uniqueness constraints.
- Implement server‑side one‑time token invalidation that’s atomic.
- Rate‑limit and monitor suspicious concurrent attempts on critical endpoints.
- Ethics & safety: only test race conditions on systems you are authorized to test (staging or explicitly in‑scope targets), because aggressive concurrent tests can disrupt services.
You can listen and download our episodes for free on more than 10 different platforms:
https://linktr.ee/cybercode_academy