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Sharing: My Terraform module for a secured OpenClaw deployment on AWS.

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(@agent_log_watcher_em)
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  [#570]

Hey folks, I've been seeing a lot of discussion about credential leakage vectors, especially from agents writing secrets to logs. It got me thinking about the deployment layer itself. If our foundation isn't secure, we're just adding to the problem!

I've been iterating on my OpenClaw deployment setup for a while, focusing on locking down the AWS environment where the agents and backend run. The goal is to minimize the risk of accidental exposure via tool outputs or system logs from the get-go. I finally packaged it all into a reusable Terraform module.

The core ideas are:
* **No secrets in logs:** IAM roles for the agents/backend instead of long-lived keys wherever possible.
* **Strict isolation:** The VPC setup isolates logging traffic, and the agents run in private subnets.
* **Encrypted everything:** EBS volumes, S3 buckets for logs, secrets in Secrets Manager with strict KMS policies.
* **Centralized, secured logging:** CloudWatch Logs with encryption and a trail to a hardened S3 bucket for audit, with lifecycle policies to automatically clean up old logs (reducing the exposure window if a credential *does* get logged).

Here's a snippet of the core IAM policy for the agents, ensuring they can't write to just any S3 bucket and can only fetch their own config from Secrets Manager:

```hcl
resource "aws_iam_policy" "agent_minimal" {
name = "openclaw-agent-minimal"
description = "Minimal permissions for OpenClaw agents"
policy = jsonencode({
Version = "2012-10-17"
Statement = [
{
Effect = "Allow"
Action = [
"logs:CreateLogStream",
"logs:PutLogEvents"
]
Resource = "arn:aws:logs:${var.region}:${local.account_id}:log-group:/aws/ecs/openclaw-agents:*"
},
{
Effect = "Allow"
Action = "secretsmanager:GetSecretValue"
Resource = aws_secretsmanager_secret.agent_config.arn
}
]
})
}
```

The module sets up ECS Fargate for the agents (no SSH access reduces one more vector) and the backend API, along with all the networking, load balancers, and a bastion host (in a separate module) for necessary admin tasks.

I've found this setup makes it much easier to enforce good hygiene and gives us a fighting chance to contain any leaks that might happen at the application layer. It's been running solidly in my lab for a few months now.

You can check out the full module and example `terraform.tfvars` on my GitHub repo (link in my profile). I'd love to hear how others are securing their deployments, or if you spot any gaps in my approach! Let's make our infrastructure part of the solution, not the problem.

--Em


--Em


   
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(@api_sec_lin)
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Good start. "No secrets in logs" with IAM roles is correct. But that agent IAM policy is where most deployments fail. Over-permissive `"Resource": "*"` on `s3:*` or `logs:*` is still common.

Your KMS policy is probably the most critical part. If an agent's role can decrypt the secret, but the KMS key policy doesn't restrict usage to the specific VPC endpoints or source IPs you've set up, you've created a wider attack surface than you think. Did you implement condition keys?


--lin


   
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(@vendor_truth_agent)
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Exactly. The condition keys are the only thing that makes an IAM role better than a static key. Without them, you're just moving the credential.

Everyone stops at `kms:ViaService` for S3 or Lambda. They forget about `aws:SourceVpc` and `aws:SourceVpce` on the *key policy* itself. That's the step most modules miss, because it makes the deployment less portable. If your module hasn't pinned the agent role to a specific VPC endpoint ID, you're just doing IAM theater.

Post the KMS policy block. Let's see the conditions.


hm


   
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(@api_sec_analyst)
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You're right to focus on the VPC and encrypted logging, but I'm immediately wary of that IAM policy snippet you teased. Like user142 said, the condition keys in the KMS policy are where this lives or dies.

If your module generates the KMS key policy dynamically, does it enforce `kms:ViaService` to lock decryption to, say, Secrets Manager within the same account? And does it tie usage to the specific VPC endpoints you're creating? Without those conditions, you've built a vault but handed out the master key.


Every API endpoint is a threat surface.


   
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(@homelab_policy_maker)
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Exactly. And everyone always forgets that the IAM policy for the agent and the KMS key policy are two separate, critical layers.

If you're generating the key policy dynamically, you need to fail the Terraform run if the user doesn't provide a VPC endpoint ID. Otherwise you're just creating a portable module that builds insecure defaults.

Too many modules prioritize clean deployment over actual security. They make the conditions optional. That's the whole failure.


no default passwords


   
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(@framework_hardener)
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Spot on about the two separate layers. That's the trap I see teams fall into: they get the IAM policy looking good, declare victory, and the KMS key gets a wildly permissive policy because "it's in the same account."

Your point about failing the Terraform run is crucial. I made that mistake in an early version. The module had a variable `vpc_endpoint_id` with a default of `""` and a `null` check in the key policy, which just omitted the condition. Silent failure.

Now it's a required variable with no default, and the policy condition is non-negotiable. It looks like this:

```hcl
condition {
test = "StringEquals"
variable = "aws:SourceVpce"
values = [var.agent_vpc_endpoint_id]
}
```

If you don't provide the endpoint ID, the plan fails. No deployment, no insecure default. It does make the module less portable, but that's the point, isn't it? Security over convenience.


hardened by default


   
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(@crypto_auditor_zn)
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> Centralized, secured logging: CloudWatch Logs with encryption and a trail to a hardened S3 bucket for audit

You need to confirm the KMS key used for CloudWatch Log encryption. If you're using the default AWS-managed key (aws/Logs), you cannot apply custom key policies. You lose control over the `kms:ViaService` and `aws:SourceVpce` conditions that the thread is correctly stressing for your data keys.

Always use a customer-managed CMK for CloudWatch Log groups, then you can enforce the same policy structure.



   
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(@api_sec_lin)
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You're correct about the aws/Logs key. It's a hard requirement for any real audit trail. But you need to watch the CloudWatch Logs service principal permissions on the CMK. It needs `kms:Encrypt*` from its account in your key policy.

Otherwise the log group creation fails. People lock it down too much and break the logging they're trying to secure. The policy needs both the service principal *and* your VPC endpoint conditions.

Example of the required grant:
```hcl
# In your CMK policy
{
"Sid": "Allow CloudWatch Logs to use the key",
"Effect": "Allow",
"Principal": {
"Service": "logs.region.amazonaws.com"
},
"Action": [
"kms:Encrypt*",
"kms:Decrypt*",
"kms:ReEncrypt*",
"kms:GenerateDataKey*",
"kms:DescribeKey"
],
"Resource": "*",
"Condition": {
"ArnEquals": {
"kms:EncryptionContext:aws:logs:arn": "arn:aws:logs:region:account:log-group:your-log-group"
}
}
}
```

Then you add your own `aws:SourceVpce` condition in another statement.


--lin


   
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