Architecting Decoy OAuth Credentials and Trap Resources for Genesys Cloud API Reconnaissance Detection

How-To-Articles
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Architecting Decoy OAuth Credentials and Trap Resources for Genesys Cloud API Reconnaissance Detection

What This Guide Covers

This guide details the architecture and implementation of a honeypot strategy designed to detect unauthorized API reconnaissance attempts against your Genesys Cloud environment. You will configure Decoy OAuth Clients and Trap Resources that mimic high-value targets, coupled with Event Stream subscriptions to alert security operations on any interaction. Upon completion, you will possess a monitoring layer that distinguishes between legitimate administrative activity and automated scanning or credential stuffing attacks targeting the Public API.

Prerequisites, Roles & Licensing

Before implementing this detection system, ensure the following prerequisites are met within your tenant:

  1. Licensing Requirements: You require Genesys Cloud CX with Event Streams enabled. Audit Logs alone provide retrospective data; Event Streams allow near real-time reaction to reconnaissance activity. The specific licensing tier must include Cloud Contact Center Enterprise or higher, as Event Streams functionality is restricted on lower tiers.
  2. Granular Permissions: The user account executing the configuration requires the following permissions:
    • view_users, create_users (for Trap Resources)
    • view_oauth_clients, create_oauth_clients (for Decoy Clients)
    • manage_events (to subscribe to Event Streams)
    • view_organizations (to verify tenant context during testing)
  3. API Scopes: To create functional trap resources, you must understand the OAuth scopes. Reconnaissance attacks typically target broad scopes like openid, view_users, and view_queues. Your honeypot credentials should request these same scopes to appear legitimate to a scanning bot.
  4. External Dependencies: If utilizing an API Gateway proxy strategy (discussed in Implementation Step 3), you must have access to an external gateway service such as AWS API Gateway, Azure API Management, or Kong. This is required because Genesys Cloud Public API endpoints (api.mypurecloud.com) are immutable and cannot be modified to include custom honeypot paths.

The Implementation Deep-Dive

1. Architecting Decoy OAuth Clients

The most effective method for detecting API reconnaissance within the native Genesys Cloud environment is to create trap credentials. Attackers often scan for exposed client IDs or attempt credential stuffing against known patterns. By creating a Decoy OAuth Client, you provide a lure that appears valuable but triggers immediate alerts upon use.

Architectural Reasoning:
We do not create a honeypot endpoint because the Genesys Cloud Public API does not support custom paths. Instead, we treat the OAuth Token Issuance as the entry point. If an attacker obtains these credentials or attempts to brute-force them, they are interacting with a monitored asset. This approach is superior to endpoint monitoring because it captures authentication failures and successful token exchanges that indicate credential compromise.

Configuration Steps:
Navigate to Admin > Integrations > OAuth Clients. Create a new client with specific naming conventions to distinguish it from production assets without revealing its nature to casual inspection.

  1. Select Client Type: Public (to simulate common application patterns) or Confidential depending on your typical API consumer profile.
  2. Set the Name to mimic a legitimate service, such as Legacy CRM Sync or External Reporting Tool. Avoid names like Trap or Honeypot, as these will trigger immediate rejection by sophisticated scanners that inspect metadata.
  3. Configure the Scopes. Grant broad access permissions that are attractive to attackers but safe in isolation.
    • Recommended Scopes: view_users, view_queues, view_routing_profiles.
    • The Trap: Do not grant administrative scopes like manage_admins or configure_telephony. If an attacker uses these tokens, it indicates a compromise that exceeds reconnaissance and moves to exploitation. However, for pure reconnaissance detection, limit access to read-only data which is the primary target of enumeration attacks.

API Payload for Decoy Client Creation:
Use the following JSON payload via the Genesys Cloud Public API POST /api/v2/oauth/clients to automate the creation of this trap credential. This ensures consistency and allows version control of your security configurations.

{
  "name": "Legacy CRM Sync",
  "description": "Service account for external data aggregation",
  "scopes": [
    "view_users",
    "view_queues",
    "view_routing_profiles",
    "view_telephony"
  ],
  "clientType": "public",
  "tokenExpirySeconds": 3600,
  "refreshTokenExpirySeconds": 86400
}

The Trap:
A common misconfiguration is setting the Token Expiry too high. If you set this to 30 days, a compromised token remains valid for an extended period, allowing an attacker prolonged access during your investigation window. Keep the expiry short (1 hour) so that any usage of the honeypot token implies an immediate active compromise attempt that can be revoked instantly. Additionally, ensure you do not enable Refresh Tokens if possible, or monitor refresh token usage aggressively.

2. Creating Trap Resources for Enumeration Detection

Reconnaissance attacks often target specific resources to map the environment. They look for users with administrative roles, queues with sensitive names, or routing profiles that indicate high-value business units. You must create trap resources that mimic these targets and subscribe Event Streams to detect access.

Architectural Reasoning:
Attackers perform enumeration by iterating through user IDs or queue names. By creating a “Trap User” with an identifiable naming convention (e.g., admin_backup or hr_payroll_manager), you can detect if an attacker is guessing resource names. When these resources are accessed via the Public API, Event Streams will capture the GET request, allowing your security team to correlate the activity with the Decoy Client from Step 1.

Configuration Steps:
Navigate to Admin > Users and create a user account that does not exist in production.

  1. Set the First Name and Last Name to generic values (e.g., “System”, “Backup”).
  2. Assign a Routing Profile that has no associated queues or agents, effectively making this user invisible to normal agent workflows but visible via API enumeration.
  3. Add a specific Permission Set. Include view_users and manage_routing_profiles. This allows the resource to be queried by reconnaissance scripts without allowing them to modify the system.

API Payload for Trap Resource Creation:
Use the following JSON payload via POST /api/v2/users to create the trap user programmatically.

{
  "name": {
    "first": "System",
    "last": "Backup"
  },
  "languageCode": "en-US",
  "skills": [],
  "roles": [
    "Role_ID_With_View_Permits" 
  ],
  "email": "system.backup@yourtenant.onmicrosoft.com",
  "department": "IT Security"
}

The Trap:
Do not assign this user to a Team. If the user belongs to a team, it creates false positives when legitimate administrators query team members. By keeping the user isolated without team membership, you ensure that any GET /api/v2/users/{userId} or GET /api/v2/teams call involving this ID is suspicious activity from an external source. Furthermore, do not assign this user a phone extension or telephony capabilities.

3. Configuring Event Streams for Real-Time Alerting

To complete the honeypot architecture, you must connect the Decoy Credentials and Trap Resources to a monitoring system via Genesys Cloud Event Streams. This transforms static trap assets into an active detection mechanism.

Architectural Reasoning:
Audit Logs are stored for 30 days by default and require manual querying or export to SIEM tools. Event Streams provide a push model where events are published as they occur. For honeypot detection, latency matters. If you rely solely on Audit Logs, an attacker may exfiltrate data before you notice the pattern. Event Streams enable near real-time correlation between the Decoy Token usage and the Trap Resource access.

Configuration Steps:

  1. Navigate to Admin > Integrations > Event Streams. Create a new stream subscription for your SIEM or Security Operations Center (SOC) tooling.
  2. Select Event Types. You must filter specifically for:
    • users.created (to detect if attackers create their own accounts via API)
    • auth.logins (to detect token usage)
    • oauth.tokens.created (to detect new client authorization)
  3. Create a Filter to isolate traffic related to your honeypot assets. You cannot filter by specific User IDs in the UI subscription configuration for all events, so you must rely on downstream filtering in your SIEM or use the Event Stream API to query specifically for the userId of your Trap Resource.

API Payload for Event Subscription:
You will likely need to configure this via the Event Streams API or the Admin UI. The logic requires capturing the actor and resource metadata.

{
  "name": "Security Honeypot Stream",
  "type": "webhook",
  "url": "https://your-siem-endpoint.com/api/v1/genesys-events",
  "scopes": [
    "audit:read"
  ],
  "events": [
    "auth.logins",
    "users.created",
    "oauth.tokens.created"
  ]
}

The Trap:
A frequent error is enabling All Events for the subscription without filtering. This will generate excessive noise and may cause your SIEM to drop legitimate events due to volume thresholds. Ensure your webhook endpoint parses the JSON payload and discards any events that do not match the actorId of your Decoy Client or the resourceId of your Trap User. If you fail to filter, the honeypot becomes a source of false positives rather than a detection tool.

4. Implementing an API Gateway Proxy Strategy

For organizations that expose Genesys Cloud APIs through an external layer (such as AWS API Gateway or Azure APIM), you can implement actual custom honeypot endpoints. This is the only method to create fake paths like /v2/honeypot/scanner.

Architectural Reasoning:
This approach adds a defense-in-depth layer. If an attacker bypasses your authentication checks and attempts to hit undocumented API paths, your Gateway will intercept them. The Gateway returns a specific status code or payload that logs the request but denies access to the Genesys backend. This isolates the Genesys Cloud tenant from direct scanning traffic.

Configuration Steps:

  1. Define a Resource Path in your API Gateway that does not exist in the actual Genesys Public API definition (Swagger/OpenAPI spec).
  2. Example Path: /api/v2/legacy/config or /api/v2/internal/metrics.
  3. Configure the Integration Request to return an HTTP 404 Not Found or a specific 403 Forbidden with a custom message body indicating a maintenance page. Do not forward these requests to Genesys Cloud, as this wastes resources and logs noise in your tenant audit logs.
  4. Enable Logging on the Gateway stage for these paths to capture the source IP, User-Agent headers, and request payload.

API Payload (AWS API Gateway Example):
This JSON represents the configuration of a method that intercepts traffic for non-existent resources.

{
  "httpMethod": "GET",
  "path": "/api/v2/legacy/config",
  "integration": {
    "type": "MOCK",
    "requestTemplates": {
      "application/json": "{\"error\": \"Resource not found\"}"
    },
    "passthroughBehavior": "NEVER"
  },
  "responses": {
    "default": {
      "statusCode": 404,
      "responseParameters": {
        "method.response.header.Content-Type": "\"application/json\""
      }
    }
  }
}

The Trap:
Ensure your API Gateway does not forward these honeypot requests to the Genesys Cloud endpoint. If you configure a proxy integration for /api/v2/legacy/config, the request will hit api.mypurecloud.com, resulting in a 404 from Genesys, which is indistinguishable from standard scanning behavior. By using a MOCK integration or blocking path, you ensure that your logs clearly show the interception occurred at the Gateway layer, not the Cloud platform layer.

Validation, Edge Cases & Troubleshooting

Edge Case 1: False Positives from Internal Testing

The Failure Condition: Your internal security team runs automated scans using the same Decoy OAuth Client credentials to test penetration testing tools. The Event Streams trigger alerts indicating a breach.
The Root Cause: The honeypot mechanism treats all credential usage equally, regardless of the source IP or context.
The Solution: Implement an allowlist in your Event Stream consumer logic. Correlate the sourceIp of the request against your known internal IP ranges (e.g., corporate proxy IPs). Configure your SIEM to suppress alerts for these specific source IPs when using the Decoy Client ID. Document this exception clearly to ensure SOC analysts do not treat it as a critical incident during normal operations.

Edge Case 2: Credential Rotation and Token Expiry

The Failure Condition: The Decoy OAuth Client token expires, but the attacker has already cached it or is attempting to brute-force the refresh token endpoint. You lose visibility into their activity because the token is no longer valid.
The Root Cause: Relying solely on a single token instance for long-term monitoring without rotation logic.
The Solution: Implement a token refresh automation script that rotates the Decoy Client secret every 24 hours. Monitor the oauth.tokens.created event type. If a new token is created for your Decoy Client, treat it as an immediate alert condition, as internal processes should not be creating new tokens frequently. This creates a “heartbeat” failure that indicates the honeypot has been compromised or reset by an attacker.

Edge Case 3: High-Volume API Scanning

The Failure Condition: A DDoS-style reconnaissance attack floods your Decoy Client login endpoint, causing rate limiting and masking other malicious activity.
The Root Cause: Honeypots are attractive targets because they appear to be gateways to sensitive data. Attackers may attempt to exhaust the honeypot resources before moving to production assets.
The Solution: Configure Rate Limiting on your API Gateway or Genesys Cloud Security settings specifically for the Decoy Client IP addresses if known, or rely on the Event Stream alerting to trigger an automated WAF block rule. When the auth.logins event fires for the Decoy Client more than 50 times within a 1-minute window, automatically trigger a script to update your firewall rules to block the source IP. This prevents the honeypot from becoming a bottleneck that affects legitimate traffic.

Official References