List and Validate OAuth Client Scopes in Genesys Cloud
What You Will Build
- This script retrieves every OAuth client registered in a Genesys Cloud organization and validates their assigned scopes against a predefined allowlist.
- It uses the Genesys Cloud Platform API v2 and the official Python SDK (
genesyscloud). - The tutorial covers Python implementation with robust error handling and pagination support.
Prerequisites
- OAuth Client Type: You need a Service Account or Machine-to-Machine (M2M) OAuth client with the following scopes:
oauth:client:read(Required to list clients)oauth:client:write(Optional, only if you plan to update scopes later; read-only for this tutorial)
- SDK Version:
genesyscloud>= 2.0.0 - Language/Runtime: Python 3.8+
- External Dependencies:
genesyscloud: The official Genesys Cloud Python SDK.python-dotenv: For secure credential management (recommended).
Install the dependencies via pip:
pip install genesyscloud python-dotenv
Authentication Setup
Genesys Cloud uses OAuth 2.0 for API authentication. For server-side scripts, the Client Credentials flow is the standard approach. This flow exchanges your client ID and secret for an access token.
The Genesys Cloud Python SDK handles token acquisition and refresh automatically if you configure the PlatformClient correctly. You do not need to manually implement the token refresh logic in your business code.
Create a .env file in your project root to store credentials securely:
GENESYS_CLOUD_REGION=us-east-1
GENESYS_CLOUD_CLIENT_ID=your_client_id
GENESYS_CLOUD_CLIENT_SECRET=your_client_secret
Initialize the SDK in your script:
import os
from dotenv import load_dotenv
from genesyscloud.platform.client import PlatformClient
# Load environment variables
load_dotenv()
def get_platform_client() -> PlatformClient:
"""
Initializes and returns a configured Genesys Cloud PlatformClient.
"""
region = os.getenv("GENESYS_CLOUD_REGION")
client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")
if not all([region, client_id, client_secret]):
raise ValueError("Missing required environment variables: REGION, CLIENT_ID, CLIENT_SECRET")
# Configure the API client
api_client = PlatformClient(
region=region,
client_id=client_id,
client_secret=client_secret
)
# Verify connectivity by forcing a token fetch
try:
api_client.login()
print("Successfully authenticated with Genesys Cloud.")
return api_client
except Exception as e:
print(f"Authentication failed: {e}")
raise
if __name__ == "__main__":
client = get_platform_client()
Implementation
Step 1: Retrieve All OAuth Clients
The endpoint GET /api/v2/oauth/clients returns a paginated list of OAuth clients. By default, Genesys Cloud returns 25 results per page. To list all clients, you must handle pagination.
The SDK provides a helper method get_oauth_clients but does not automatically paginate through all results in a single call without explicit configuration or a loop. We will use the async_ version of the API call to handle pagination manually, ensuring we capture every client regardless of the total count.
Required Scope: oauth:client:read
from genesyscloud.platform.client import PlatformClient
from genesyscloud.oauth.api import OAuthApi
from genesyscloud.oauth.model import OAuthClient
from typing import List, Dict, Any
def fetch_all_oauth_clients(api_client: PlatformClient) -> List[Dict[str, Any]]:
"""
Fetches all OAuth clients from the organization using pagination.
Args:
api_client: Authenticated PlatformClient instance.
Returns:
List of dictionaries containing client ID and name.
"""
oauth_api = OAuthApi(api_client)
all_clients = []
page_size = 100 # Max recommended page size for performance
next_page_token = None
print("Starting pagination for OAuth clients...")
try:
while True:
# Construct the request
response = oauth_api.get_oauth_clients(
page_size=page_size,
page_token=next_page_token
)
# Append current page results
if response.entities:
for client in response.entities:
all_clients.append({
"id": client.id,
"name": client.name,
"description": client.description,
"client_type": client.client_type,
"scopes": client.scopes if client.scopes else []
})
# Check for next page
next_page_token = response.next_page_token
if not next_page_token:
break
except Exception as e:
print(f"Error fetching OAuth clients: {e}")
raise
print(f"Retrieved {len(all_clients)} OAuth clients.")
return all_clients
Step 2: Validate Scope Assignments
Once you have the list of clients, you need to validate their scopes. A common security practice is to define an “allowlist” of scopes that should be present or to check for specific sensitive scopes (e.g., admin:all, user:all) that might indicate over-permissioned service accounts.
In this step, we will iterate through the retrieved clients and flag any client that:
- Has a
client_typeofconfidential(typically service accounts) AND - Contains a scope from a defined “high-risk” list.
from typing import List, Dict, Any, Set
# Define high-risk scopes for auditing
HIGH_RISK_SCOPES = {
"admin:all",
"user:all",
"integration:all",
"oauth:client:write",
"routing:queue:write",
"analytics:report:write"
}
def audit_client_scopes(clients: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""
Audits OAuth clients for high-risk scope assignments.
Args:
clients: List of client dictionaries from fetch_all_oauth_clients.
Returns:
List of clients that have high-risk scopes.
"""
flagged_clients = []
for client in clients:
# Only audit confidential clients (Service Accounts/M2M)
# Public clients (Web Apps) usually have different security models
if client.get("client_type") != "confidential":
continue
# Normalize scopes to a set for fast lookup
client_scopes = set(client.get("scopes", []))
# Find intersection with high-risk scopes
risky_scopes_found = client_scopes.intersection(HIGH_RISK_SCOPES)
if risky_scopes_found:
flagged_clients.append({
"id": client["id"],
"name": client["name"],
"client_type": client["client_type"],
"total_scopes": len(client_scopes),
"risky_scopes": list(risky_scopes_found),
"description": client.get("description", "N/A")
})
return flagged_clients
Step 3: Process and Report Results
After auditing, you need a structured way to output the results. In production, you might write this to a JSON file, send a Slack notification, or log it to a monitoring system. Here, we will format it as a clean console report and export to JSON.
import json
from datetime import datetime
def generate_audit_report(flagged_clients: List[Dict[str, Any]], output_file: str = "oauth_audit.json") -> None:
"""
Generates a human-readable report and saves results to JSON.
Args:
flagged_clients: List of clients with high-risk scopes.
output_file: Path to save the JSON report.
"""
timestamp = datetime.now().isoformat()
report_data = {
"audit_timestamp": timestamp,
"total_flagged_clients": len(flagged_clients),
"high_risk_scopes_checked": list(HIGH_RISK_SCOPES),
"clients": flagged_clients
}
# Console Output
print("\n" + "="*60)
print("OAUTH CLIENT AUDIT REPORT")
print("="*60)
if not flagged_clients:
print("No high-risk scope assignments found.")
else:
print(f"Found {len(flagged_clients)} client(s) with high-risk scopes:\n")
for client in flagged_clients:
print(f"Client ID: {client['id']}")
print(f"Client Name: {client['name']}")
print(f"Description: {client['description']}")
print(f"Total Scopes: {client['total_scopes']}")
print(f"Risky Scopes: {', '.join(client['risky_scopes'])}")
print("-" * 40)
# JSON Export
try:
with open(output_file, 'w') as f:
json.dump(report_data, f, indent=2)
print(f"\nDetailed report saved to {output_file}")
except IOError as e:
print(f"Error writing report file: {e}")
Complete Working Example
Combine the steps above into a single executable script. This script assumes you have the .env file configured as described in the Authentication Setup section.
import os
import sys
import json
from datetime import datetime
from typing import List, Dict, Any, Set
from dotenv import load_dotenv
from genesyscloud.platform.client import PlatformClient
from genesyscloud.oauth.api import OAuthApi
# --- Configuration ---
load_dotenv()
# Define high-risk scopes for auditing
HIGH_RISK_SCOPES: Set[str] = {
"admin:all",
"user:all",
"integration:all",
"oauth:client:write",
"routing:queue:write",
"analytics:report:write"
}
def get_platform_client() -> PlatformClient:
"""Initializes and returns a configured Genesys Cloud PlatformClient."""
region = os.getenv("GENESYS_CLOUD_REGION")
client_id = os.getenv("GENESYS_CLOUD_CLIENT_ID")
client_secret = os.getenv("GENESYS_CLOUD_CLIENT_SECRET")
if not all([region, client_id, client_secret]):
raise ValueError("Missing required environment variables: REGION, CLIENT_ID, CLIENT_SECRET")
api_client = PlatformClient(
region=region,
client_id=client_id,
client_secret=client_secret
)
try:
api_client.login()
print("Successfully authenticated with Genesys Cloud.")
return api_client
except Exception as e:
print(f"Authentication failed: {e}")
raise
def fetch_all_oauth_clients(api_client: PlatformClient) -> List[Dict[str, Any]]:
"""Fetches all OAuth clients from the organization using pagination."""
oauth_api = OAuthApi(api_client)
all_clients = []
page_size = 100
next_page_token = None
print("Starting pagination for OAuth clients...")
try:
while True:
response = oauth_api.get_oauth_clients(
page_size=page_size,
page_token=next_page_token
)
if response.entities:
for client in response.entities:
all_clients.append({
"id": client.id,
"name": client.name,
"description": client.description,
"client_type": client.client_type,
"scopes": client.scopes if client.scopes else []
})
next_page_token = response.next_page_token
if not next_page_token:
break
except Exception as e:
print(f"Error fetching OAuth clients: {e}")
raise
print(f"Retrieved {len(all_clients)} OAuth clients.")
return all_clients
def audit_client_scopes(clients: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
"""Audits OAuth clients for high-risk scope assignments."""
flagged_clients = []
for client in clients:
if client.get("client_type") != "confidential":
continue
client_scopes = set(client.get("scopes", []))
risky_scopes_found = client_scopes.intersection(HIGH_RISK_SCOPES)
if risky_scopes_found:
flagged_clients.append({
"id": client["id"],
"name": client["name"],
"client_type": client["client_type"],
"total_scopes": len(client_scopes),
"risky_scopes": list(risky_scopes_found),
"description": client.get("description", "N/A")
})
return flagged_clients
def generate_audit_report(flagged_clients: List[Dict[str, Any]], output_file: str = "oauth_audit.json") -> None:
"""Generates a human-readable report and saves results to JSON."""
timestamp = datetime.now().isoformat()
report_data = {
"audit_timestamp": timestamp,
"total_flagged_clients": len(flagged_clients),
"high_risk_scopes_checked": list(HIGH_RISK_SCOPES),
"clients": flagged_clients
}
print("\n" + "="*60)
print("OAUTH CLIENT AUDIT REPORT")
print("="*60)
if not flagged_clients:
print("No high-risk scope assignments found.")
else:
print(f"Found {len(flagged_clients)} client(s) with high-risk scopes:\n")
for client in flagged_clients:
print(f"Client ID: {client['id']}")
print(f"Client Name: {client['name']}")
print(f"Description: {client['description']}")
print(f"Total Scopes: {client['total_scopes']}")
print(f"Risky Scopes: {', '.join(client['risky_scopes'])}")
print("-" * 40)
try:
with open(output_file, 'w') as f:
json.dump(report_data, f, indent=2)
print(f"\nDetailed report saved to {output_file}")
except IOError as e:
print(f"Error writing report file: {e}")
def main():
try:
# Step 1: Authenticate
api_client = get_platform_client()
# Step 2: Fetch Clients
all_clients = fetch_all_oauth_clients(api_client)
# Step 3: Audit Scopes
flagged_clients = audit_client_scopes(all_clients)
# Step 4: Report
generate_audit_report(flagged_clients)
except Exception as e:
print(f"Fatal error: {e}")
sys.exit(1)
if __name__ == "__main__":
main()
Common Errors & Debugging
Error: 403 Forbidden (Insufficient Scopes)
What causes it:
The OAuth client used to run the script does not have the oauth:client:read scope assigned. Genesys Cloud enforces strict scope-based authorization. Even if you have an access token, you cannot access OAuth client data without the specific read scope.
How to fix it:
- Go to the Genesys Cloud Admin Console.
- Navigate to Admin > Security > OAuth.
- Select your service account client.
- Click Edit.
- In the Scopes section, ensure
oauth:client:readis checked. - Save the changes. You may need to regenerate your client secret or wait for the cache to expire (usually < 1 minute).
Error: 429 Too Many Requests
What causes it:
If your organization has a very large number of OAuth clients (unlikely, but possible in enterprise setups with many integrations) or if you run this script frequently in a loop, you may hit rate limits. The default rate limit for OAuth endpoints is typically 100 requests per minute per client.
How to fix it:
Implement exponential backoff in your pagination loop. The Genesys Cloud Python SDK does not automatically retry 429s for bulk pagination loops.
import time
# Inside the fetch_all_oauth_clients loop, wrap the API call:
try:
response = oauth_api.get_oauth_clients(
page_size=page_size,
page_token=next_page_token
)
except Exception as e:
if "429" in str(e):
wait_time = 5
print(f"Rate limited. Waiting {wait_time} seconds...")
time.sleep(wait_time)
# Retry logic would go here
continue
else:
raise
Error: AttributeError: ‘NoneType’ object has no attribute ‘entities’
What causes it:
The API call failed silently or returned an unexpected empty object, often due to network issues or an invalid token. The SDK might return None if the HTTP request fails entirely.
How to fix it:
Always check if response is not None before accessing .entities. Add explicit error handling for the API call.
if not response:
raise RuntimeError("API returned no response. Check network or authentication.")