Terraform state file exposing OAuth client secrets in Genesys Cloud provider

General Discussion
1

Need some help troubleshooting the Genesys Cloud Terraform provider regarding secret management. I am using the genesyscloud_oauth_client resource, but the client_secret value persists in plaintext within the .tfstate file despite setting sensitive = true in my variable definitions.

Here is the relevant resource block:

resource "genesyscloud_oauth_client" "my_bot" {
 name = "TeamsBot"
 client_secret = var.gc_client_secret
}

Is there a specific provider attribute or workaround to prevent the secret from being written to the state file entirely, or is this a known limitation in the current version?

2

Make sure you understand that sensitive = true in Terraform variables only prevents the value from appearing in the console output during plan or apply. It does not encrypt or mask the data in the state file itself. The .tfstate file remains plaintext by default, which is a significant security risk if stored in a public repo or unencrypted bucket.

Since I manage serverless integrations, I treat state files as highly sensitive artifacts. Here is how I handle this in my AWS Lambda pipelines:

  • Enable State Encryption: If using S3 as backend, enable server-side encryption (SSE-S3 or SSE-KMS). This ensures the state file is encrypted at rest.
  • Restrict Access: Use IAM policies to restrict who can read the state file. Never share it directly.
  • Use terraform state rm for Secrets: For resources like genesyscloud_oauth_client, consider managing the OAuth client via the API directly for secrets, or use a separate terraform workspace just for secret rotation.

Alternatively, use the external data source to fetch secrets from AWS Secrets Manager or Azure Key Vault. This way, the secret never touches your Terraform code or state directly.

data "external" "oauth_secret" {
 program = ["sh", "-c", "aws secretsmanager get-secret-value --secret-id my-genesys-secret --query SecretString --output json"]
}

resource "genesyscloud_oauth_client" "my_bot" {
 name = "TeamsBot"
 client_secret = jsondecode(data.external.oauth_secret.result)["SecretString"]
}

This approach keeps the secret out of the state file entirely. The state file will only contain a reference to the external data source, not the actual secret value.

Also, remember to rotate your OAuth client secrets regularly. I use a Lambda function triggered by EventBridge to do this automatically. It calls the Genesys Cloud API to generate a new secret, then updates AWS Secrets Manager. This reduces the window of exposure if the state file is ever compromised.

Hope this helps you secure your setup. Let me know if you need more details on the Lambda rotation script.

3

If you check the docs, they mention that Terraform state files are plaintext JSON. You are storing secrets in a file that is designed to be a snapshot of infrastructure, not a vault. This is not a Genesys Cloud provider bug. It is a fundamental misunderstanding of how Terraform manages state.

If you are committing .tfstate to Git, you have already leaked your client_secret. Rotating the key is your only option. Do not rely on sensitive = true for storage. That flag only hides output in the CLI.

You need to move to a remote backend with encryption at rest. Here is the correct configuration for AWS S3 with KMS encryption. This is the standard for any serious deployment.

  1. Configure the backend in your main.tf or a dedicated backend.tf.
  2. Enable KMS encryption on the S3 bucket.
  3. Versioning must be enabled to recover from accidental state corruption.
terraform {
 backend "s3" {
 bucket = "my-terraform-state-bucket"
 key = "genesys-cloud/production/terraform.tfstate"
 region = "eu-central-1"
 encrypt = true
 kms_key_id = "arn:aws:kms:eu-central-1:123456789012:key/abcd1234-a123-4a12-8a12-123456789012"
 dynamodb_table = "terraform-locks"
 }
}

If you cannot use a remote backend, you must encrypt the local state file manually using terraform state pull and piping it through gpg or openssl. But honestly, that is messy and prone to human error.

For the client_secret specifically, use Terraform Cloud Variables or HashiCorp Vault as a data source. Never hardcode secrets in the resource block. Use the data block to fetch them dynamically.

data "vault_generic_secret" "genesys_oauth" {
 path = "secret/genesys/oauth"
}

resource "genesyscloud_oauth_client" "my_bot" {
 name = "TeamsBot"
 client_secret = data.vault_generic_secret.genesys_oauth.data["client_secret"]
}

This keeps the secret out of the state file entirely. The state file will only reference the data source ID. This is the only secure pattern. Anything else is negligence.

4

Use remote state with encryption like AWS S3 + DynamoDB locking. Local state files are never secure for secrets.

Warning: Rotating the secret is mandatory since it is already exposed in the current state file.

5

This is caused by a fundamental misunderstanding of where sensitive = true applies in Terraform. It masks console output, not the JSON payload on disk. If your .tfstate is local or in an unencrypted bucket, you are broadcasting your OAuth secrets to anyone with read access. The suggestion above regarding remote state is correct, but it is not enough. You must enforce encryption at rest.

Rotate the exposed client_secret immediately via the Genesys Cloud Admin console or the POST /api/v2/oauth/clients endpoint. Then, verify the new secret is active using a cURL test before updating Terraform.

curl -X POST "https://api.mypurecloud.com/api/v2/oauth/token" \
 -H "Content-Type: application/x-www-form-urlencoded" \
 -d "grant_type=client_credentials&client_id=YOUR_NEW_ID&client_secret=YOUR_NEW_SECRET"

After rotation, migrate your state to a secure backend. Use AWS S3 with SSE-S3 or SSE-KMS encryption. Do not use local state for production credentials.

terraform {
 backend "s3" {
 bucket = "my-secure-tf-state"
 key = "gen-gc/state.tfstate"
 region = "us-west-2"
 encrypt = true
 kms_key_id = "arn:aws:kms:us-west-2:123456789012:key/your-kms-key-id"
 dynamodb_table = "terraform-lock"
 }
}

Run terraform init -migrate-state to move the existing state. Verify the new state file is encrypted in S3. Do not rely on sensitive flags for security. They are for UI noise reduction only. If you are running k6 load tests against this client, ensure your test scripts also reference the rotated credentials. Hardcoded secrets in test scripts are just as dangerous as plaintext state files. Validate the new token endpoint response has a 200 status and valid access_token before proceeding with any infrastructure changes.