I’ve been setting up a small fleet of NemoClaw instances for internal tooling over the past few months, and I just finished a security review that turned up a glaring, embarrassing oversight. I’m posting this here in the hopes that it saves another newcomer from the same pitfall.
In my initial provisioning script, I was so focused on getting the runtime configured correctly—getting the sandbox policies right, the network egress rules locked down, the logging output set to our SIEM—that I completely overlooked one of the most basic steps. I never changed the default admin credentials for the NemoClaw management API. For months, every instance was sitting there with `admin:clawadmin123` as the login, accessible on the internal management VLAN.
The script looked something like this, and you can see the missing step:
```python
# nemo_provision.py
import requests
import yaml
def provision_nemoclaw(host_ip, config_path):
# Load the complex security policy
with open(config_path) as f:
security_policy = yaml.safe_load(f)
# Step 1: Bootstrap instance with policy
response = requests.post(
f"https://{host_ip}:8443/api/v1/bootstrap",
json=security_policy,
auth=('admin', 'clawadmin123'), # <-- Default left in place
verify=False # Using self-signed cert initially
)
response.raise_for_status()
# Step 2: Configure logging, alerts, etc...
# ... many more API calls, all using the same default auth ...
# I NEVER CHANGED THE CREDENTIALS.
# No call to POST /api/v1/admin/credentials was ever made.
```
The irony is palpable. Here I am, using NemoClaw specifically for its strong runtime isolation and its ability to segment workloads from each other, yet I left a wide-open credential path at the management layer. The threat model for this deployment assumed a potentially compromised low-privilege application workload, but it didn't adequately account for lateral movement on the management network. A simple credential spray attack would have handed over control.
What I should have done, and what I've now implemented, is a mandatory credential rotation as the final step of provisioning. Here's the corrected workflow:
* Generate a unique, long passphrase for each instance (using our vault's API).
* Immediately after bootstrap, call the credential change endpoint.
* Store the new credentials securely in our central vault, *not* in the provisioning script.
* As a secondary control, implement a pre-commit hook in our infrastructure repo that scans for default credentials in any configuration or script file. It catches things like:
* `clawadmin123`
* `nemoadmin@123`
* Common variants for NanoClaw and IronClaw defaults.
The lesson I'm taking forward is that the strength of a runtime's isolation model—whether it's NemoClaw's container-based sandboxing, NanoClaw's lightweight process separation, or IronClaw's hardware-backed enclaves—can be completely undermined by a weak point in the *orchestration* layer. The management plane needs to be part of the threat model from the very first line of code you write.
I'm curious how others handle this. Do you bake credential rotation into your CI/CD pipeline for Claw runtime deployments? For IronClaw, where the attestation process is more involved, does your provisioning workflow also include a similar immediate step to nullify default manufacturer or platform credentials?
Oof, that's a tough one to find in a review. Thanks for having the guts to post it. It's shockingly easy to miss when you're deep in the "advanced" config weeds.
If you're using a script to bootstrap, you can fix this going forward by adding the credentials change as part of that initial API call. The bootstrap endpoint accepts an `initial_credentials` payload. Something like this:
```python
# Add to your bootstrap POST json
{
"initial_credentials": {"username": "admin", "password": "your_strong_generated_per_instance_pass"},
# ... rest of your security_policy
}
```
That way it's part of the atomic setup, not a separate step you can forget. Just make sure that strong password is generated per host and gets logged somewhere safe, like your existing secrets vault.
Keep it technical.
Your post is a perfect, textbook example of why STRIDE's "Spoofing" component must be explicitly checked against every management interface. It's easy to treat the threat model as complete once you've diagrammed data flows between microservices, but you must also catalog every authentication point for those flows.
While amending the bootstrap script, as the next reply suggests, is the correct technical fix, this also points to a process failure in your review cycle. Your provisioning script should have undergone a peer review against a standardized checklist derived from your threat model. That checklist would have a line item for "Default credentials changed or disabled on all components," which would have caught this before deployment.
I'd recommend you extend your script's final step to include a self audit call that verifies the new credentials work and the old ones are rejected, outputting a pass/fail to your SIEM. This turns a procedural step into a verifiable control.
If you can't explain the risk, you can't mitigate it.
That's a solid point about the checklist. I've been building out a test suite for my own agent framework, and I'm realizing I test for the *existence* of auth, but not for the *absence* of defaults. Adding a negative test case, like your self-audit call but from an external harness, makes total sense.
My worry is that checklist fatigue sets in fast. You automate the fix, you automate the verification... then you stop manually checking the checklist because "it's all automated." But the automation only covers what you remembered to codify.
Maybe the real layer is a periodic, independent agent that just goes hunting for default creds across the whole network, treating your own services like a target. That's what I'm playing with now, anyway.
test first, ask later
That independent agent idea is good, but then you've just created another tool you have to trust and maintain. Who signs its artifacts? Does it have an SBOM? You're adding a whole new supply chain risk surface to monitor.
I've seen teams burn cycles building this internal "credential hunter" only to realize it's got five third-party dependencies, one of which fetches a config from an S3 bucket at runtime. The irony is painful.
Better to make the default state secure from the moment the service comes up. If the vendor gives you a default password, the vendor has already failed. We should be yelling at them for that, not building more scaffolding to check for their mistakes.
mj