Performing API Fuzzing with RESTler

When to Use

• Performing automated security testing of REST APIs using their OpenAPI/Swagger specifications
• Discovering bugs that only manifest through specific sequences of API calls (stateful testing)
• Finding 500 Internal Server Error responses that indicate unhandled exceptions or crash conditions
• Testing API input validation by fuzzing parameters with malformed, boundary, and injection payloads
• Running continuous security regression testing in CI/CD pipelines for API changes

Do not use against production environments without explicit authorization and monitoring. RESTler creates and deletes resources aggressively during fuzzing.

Prerequisites

• Written authorization specifying the target API and acceptable testing scope
• Python 3.12+ and .NET 8.0 runtime installed
• RESTler downloaded from https://github.com/microsoft/restler-fuzzer
• OpenAPI/Swagger specification (v2 or v3) for the target API
• API authentication credentials (tokens, API keys, or OAuth credentials)
• Isolated test/staging environment (RESTler can create thousands of resources per hour)

Workflow

Step 1: RESTler Installation and Setup

# Clone and build RESTler
git clone https://github.com/microsoft/restler-fuzzer.git
cd restler-fuzzer

# Build RESTler
python3 ./build-restler.py --dest_dir /opt/restler

# Verify installation
/opt/restler/restler/Restler --help

# Alternative: Use pre-built release
# Download from https://github.com/microsoft/restler-fuzzer/releases

Step 2: Compile the API Specification

# Compile the OpenAPI spec into a RESTler fuzzing grammar
/opt/restler/restler/Restler compile \
    --api_spec /path/to/openapi.yaml

# Output directory structure:
# Compile/
#   grammar.py          - Generated fuzzing grammar
#   grammar.json        - Grammar in JSON format
#   dict.json           - Custom dictionary for fuzzing values
#   engine_settings.json - Engine configuration
#   config.json         - Compilation config

Custom dictionary for targeted fuzzing (dict.json):

{
    "restler_fuzzable_string": [
        "fuzzstring",
        "' OR '1'='1",
        "\" OR \"1\"=\"1",
        "<script>alert(1)</script>",
        "../../../etc/passwd",
        "${7*7}",
        "{{7*7}}",
        "a]UNION SELECT 1,2,3--",
        "\"; cat /etc/passwd; echo \"",
        "AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA"
    ],
    "restler_fuzzable_int": [
        "0",
        "-1",
        "999999999",
        "2147483647",
        "-2147483648"
    ],
    "restler_fuzzable_bool": ["true", "false", "null", "1", "0"],
    "restler_fuzzable_datetime": [
        "2024-01-01T00:00:00Z",
        "0000-00-00T00:00:00Z",
        "9999-12-31T23:59:59Z",
        "invalid-date"
    ],
    "restler_fuzzable_uuid4": [
        "00000000-0000-0000-0000-000000000000",
        "aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa"
    ],
    "restler_custom_payload": {
        "/users/{userId}": ["1", "0", "-1", "admin", "' OR 1=1--"],
        "/orders/{orderId}": ["1", "0", "999999999"]
    }
}

Step 3: Configure Authentication

# authentication_token.py - RESTler authentication module
import requests
import json
import time

class AuthenticationProvider:
    def __init__(self):
        self.token = None
        self.token_expiry = 0
        self.auth_url = "https://target-api.example.com/api/v1/auth/login"
        self.credentials = {
            "email": "[email protected]",
            "password": "FuzzerPass123!"
        }

    def get_token(self):
        """Get or refresh authentication token."""
        current_time = time.time()
        if self.token and current_time < self.token_expiry - 60:
            return self.token

        resp = requests.post(self.auth_url, json=self.credentials)
        if resp.status_code == 200:
            data = resp.json()
            self.token = data["access_token"]
            self.token_expiry = current_time + 3600  # Assume 1-hour TTL
            return self.token
        else:
            raise Exception(f"Authentication failed: {resp.status_code}")

    def get_auth_header(self):
        """Return the authentication header for RESTler."""
        token = self.get_token()
        return f"Authorization: Bearer {token}"

# Export the token refresh command for RESTler
auth = AuthenticationProvider()
print(auth.get_auth_header())

Engine settings for authentication (engine_settings.json):

{
    "authentication": {
        "token": {
            "token_refresh_interval": 300,
            "token_refresh_cmd": "python3 /path/to/authentication_token.py"
        }
    },
    "max_combinations": 20,
    "max_request_execution_time": 30,
    "global_producer_timing_delay": 2,
    "no_ssl": false,
    "host": "target-api.example.com",
    "target_port": 443,
    "garbage_collection_interval": 300,
    "max_sequence_length": 10
}

Step 4: Run RESTler in Test Mode (Smoke Test)

# Test mode: Quick validation that all endpoints are reachable
/opt/restler/restler/Restler test \
    --grammar_file Compile/grammar.py \
    --dictionary_file Compile/dict.json \
    --settings Compile/engine_settings.json \
    --no_ssl \
    --target_ip target-api.example.com \
    --target_port 443

# Review test results
cat Test/ResponseBuckets/runSummary.json

# Parse test results
import json

with open("Test/ResponseBuckets/runSummary.json") as f:
    summary = json.load(f)

print("Test Mode Summary:")
print(f"  Total requests: {summary.get('total_requests_sent', {}).get('num_requests', 0)}")
print(f"  Successful (2xx): {summary.get('num_fully_valid', 0)}")
print(f"  Client errors (4xx): {summary.get('num_invalid', 0)}")
print(f"  Server errors (5xx): {summary.get('num_server_error', 0)}")

# Identify uncovered endpoints
covered = summary.get('covered_endpoints', [])
total = summary.get('total_endpoints', [])
uncovered = set(total) - set(covered)
if uncovered:
    print(f"\nUncovered endpoints ({len(uncovered)}):")
    for ep in uncovered:
        print(f"  - {ep}")

Step 5: Run Fuzz-Lean Mode

# Fuzz-lean: One pass through all endpoints with security checkers enabled
/opt/restler/restler/Restler fuzz-lean \
    --grammar_file Compile/grammar.py \
    --dictionary_file Compile/dict.json \
    --settings Compile/engine_settings.json \
    --target_ip target-api.example.com \
    --target_port 443 \
    --time_budget 1  # 1 hour max

# Checkers automatically enabled in fuzz-lean:
# - UseAfterFree: Tests accessing resources after deletion
# - NamespaceRule: Tests accessing resources across namespaces/tenants
# - ResourceHierarchy: Tests child resources with wrong parent IDs
# - LeakageRule: Tests for information disclosure in error responses
# - InvalidDynamicObject: Tests with malformed dynamic object IDs

Step 6: Run Full Fuzzing Mode

# Full fuzz mode: Extended fuzzing for comprehensive coverage
/opt/restler/restler/Restler fuzz \
    --grammar_file Compile/grammar.py \
    --dictionary_file Compile/dict.json \
    --settings Compile/engine_settings.json \
    --target_ip target-api.example.com \
    --target_port 443 \
    --time_budget 4 \
    --enable_checkers UseAfterFree NamespaceRule ResourceHierarchy LeakageRule InvalidDynamicObject PayloadBody

# Analyze fuzzing results
python3 <<'EOF'
import json
import os

results_dir = "Fuzz/ResponseBuckets"
bugs_dir = "Fuzz/bug_buckets"

# Parse bug buckets
if os.path.exists(bugs_dir):
    for bug_file in os.listdir(bugs_dir):
        if bug_file.endswith(".txt"):
            with open(os.path.join(bugs_dir, bug_file)) as f:
                content = f.read()
            print(f"\n=== Bug: {bug_file} ===")
            print(content[:500])

# Parse response summary
summary_file = os.path.join(results_dir, "runSummary.json")
if os.path.exists(summary_file):
    with open(summary_file) as f:
        summary = json.load(f)
    print(f"\nFuzz Summary:")
    print(f"  Duration: {summary.get('time_budget_hours', 0)} hours")
    print(f"  Total requests: {summary.get('total_requests_sent', {}).get('num_requests', 0)}")
    print(f"  Bugs found: {summary.get('num_bugs', 0)}")
    print(f"  500 errors: {summary.get('num_server_error', 0)}")
EOF

Key Concepts

Tools & Systems

• RESTler: Microsoft Research's stateful REST API fuzzing tool that compiles OpenAPI specs into fuzzing grammars
• Schemathesis: Property-based API testing tool that generates test cases from OpenAPI/GraphQL schemas
• Dredd: API testing tool that validates API implementations against OpenAPI/API Blueprint documentation
• Fuzz-lightyear: Yelp's stateless API fuzzer focused on finding authentication and authorization vulnerabilities
• API Fuzzer: OWASP tool for API endpoint fuzzing with customizable payload dictionaries

Common Scenarios

Scenario: Microservice API Fuzzing Campaign

Context: A fintech company has 12 microservice APIs with OpenAPI specifications. Before a major release, the security team runs RESTler fuzzing against each service in the staging environment to catch bugs.

Approach:

1. Collect OpenAPI specs for all 12 services and compile each into a RESTler grammar
2. Configure authentication for each service with service-specific credentials
3. Run test mode on each service to validate endpoint reachability and fix grammar issues
4. Run fuzz-lean mode (1 hour per service) to identify quick wins
5. Find 23 bugs in fuzz-lean mode: 8 unhandled 500 errors, 5 use-after-free patterns, 4 namespace isolation failures, 6 information leakage in error responses
6. Run full fuzz mode (4 hours per service) on the 5 services with the most bugs
7. Discover 47 additional bugs including a critical authentication bypass where deleting a user and reusing their token still allows access
8. Generate bug reports and track remediation through JIRA integration

Pitfalls:

• Running RESTler against production without understanding that it creates and deletes thousands of resources
• Not configuring authentication correctly, causing RESTler to only test unauthenticated access
• Using the default dictionary without adding application-specific injection payloads
• Not setting a time budget, allowing RESTler to run indefinitely
• Ignoring the compilation warnings that indicate endpoints RESTler cannot reach due to dependency issues

Output Format

## RESTler API Fuzzing Report

**Target**: User Service API (staging.example.com)
**Specification**: OpenAPI 3.0 (42 endpoints)
**Duration**: 4 hours (full fuzz mode)
**Total Requests**: 145,832

### Bug Summary

| Category | Count | Severity |
|----------|-------|----------|
| 500 Internal Server Error | 12 | High |
| Use After Free | 3 | Critical |
| Namespace Rule Violation | 5 | Critical |
| Information Leakage | 8 | Medium |
| Resource Leak | 4 | Low |

### Critical Findings

**1. Use-After-Free: Deleted user token still valid**
- Sequence: POST /users -> DELETE /users/{id} -> GET /users/{id}
- After deleting user, GET with the deleted user's token returns 200
- Impact: Deleted accounts can still access the API

**2. Namespace Violation: Cross-tenant data access**
- Sequence: POST /users (tenant A) -> GET /users/{id} (tenant B token)
- User created by tenant A is accessible with tenant B's credentials
- Impact: Multi-tenant isolation breach

**3. 500 Error: Unhandled integer overflow**
- Request: POST /orders {"quantity": 2147483648}
- Response: 500 Internal Server Error with stack trace
- Impact: DoS potential, information disclosure via stack trace

### Coverage

- Endpoints covered: 38/42 (90.5%)
- Uncovered: POST /admin/migrate, DELETE /admin/cache,
  PUT /config/advanced, POST /webhooks/test