API fuzzing targets web APIs, systematically testing endpoints and parameters by sending unexpected or malformed inputs. Its goals include identifying vulnerabilities, improving robustness, and automating security testing.
- Uncovering Hidden Vulnerabilities: undocumented or misconfigured endpoints.
- Testing Robustness: Ensures APIs handle unexpected inputs gracefully.
- Automating Security Testing: Reduces manual effort by automating testing.
- Simulating Real-World Attacks: Identifies vulnerabilities before exploitation.
Types of API Fuzzing
-
Parameter Fuzzing
- Tests parameters like query strings, headers, and request bodies.
- Identifies vulnerabilities like injection attacks, XSS, and parameter tampering.
-
Data Format Fuzzing
- Targets structured formats (e.g., JSON, XML).
- Exposes parsing errors, buffer overflows, or special character mishandling.
-
Sequence Fuzzing
- Tests request order and timing in interconnected APIs.
- Reveals issues like race conditions, IDOR, or authorization bypass.
Example API Endpoints
- GET / (Read Root): Returns root resource or basic info.
- GET /items/{item_id} (Read Item): Retrieves a specific item.
- DELETE /items/{item_id} (Delete Item): Removes an item.
- PUT /items/{item_id} (Update Item): Updates an item’s data.
- POST /items/ (Create/Update Item): Creates or updates items.
Fuzzing the API: Clone and set up the fuzzer
:
git clone https://github.com/PandaSt0rm/webfuzz_api.git
cd webfuzz_api
pip3 install -r requirements.txt
python3 api_fuzzer.py http://IP:PORT
curl http://IP:PORT/cz...
- 404 Not Found: Invalid endpoints.
- 200 OK: Valid endpoints.
- 405 Method Not Allowed: Incorrect HTTP method.
Common Vulnerabilities Identified
- Broken Object-Level Authorization (BOLA): Manipulating parameters to access restricted objects.
- Broken Function-Level Authorization (BFLA): Unauthorized access to API functions via parameter modification.
- Server-Side Request Forgery (SSRF): Injecting malicious values to redirect server requests.