Fetch-url-http-3a-2f-2fmetadata.google.internal-2fcomputemetadata-2fv1-2finstance-2fservice - Accounts-2f

The string you provided is a URL-encoded version of an HTTP request targeting the Google Cloud Instance Metadata Service (IMDS). Specifically, it points to: http://google.internal.

  "access_token": "ya29....",
  "expires_in": 3599,
  "token_type": "Bearer"
is a localized service available only to your VM instances. It stores details such as the instance name, ID, and most critically, service account information and security tokens. Stack Overflow 1. Purpose of the Query The specific endpoint
"Access Denied," the firewall effectively said. "Nice try." The string you provided is a URL-encoded version
To "prepare a feature" around this functionality, you are likely looking to either implement a legitimate data-fetching mechanism for a VM or build a security-focused feature to detect or prevent SSRF attacks. 1. Functional Feature: Service Account Metadata Fetcher
Conclusion
That unassuming URL – http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/ – is a cornerstone of Google Cloud’s zero-trust, keyless authentication model. It allows any application running on a GCE VM to securely obtain Google API credentials without ever handling a private key. "access_token": "ya29
Use fine-grained service accounts – Do not use the default compute engine service account with broad cloud-platform scope. Create dedicated service accounts with least privilege.
Summary
Seeing fetch-url-http-...metadata.google.internal... is a sign that your application is correctly trying to leverage the native Google Cloud identity system. It allows your code to run securely without hardcoding passwords or keys inside your application code. and most critically
Zero wasn't looking for a brute-force entry; they were looking for logic flaws. They found the update_inventory.py script exposed via a misconfigured API endpoint. They realized the script would fetch any URL they gave it and return the result.