gcptool 0.0.1

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Carve Systems GCP Assessment Tooling (Name TBD)

Installation

This tool requires Python 3.8 or newer.

Additionally, the gcloud CLI is required for authentication against Google user accounts.

Usage

Prerequisites

To use this tool against a Google Cloud environment, you must be have a user account with the Security Reviewer role granted across all relevant projects. The use of a service account with these permissions is recommended if possible; regular user accounts are subject to stricter rate-limiting by Google.

Currently, gcptool authenticates using Google Application Default Credentials. If you are using a regular user account for testing, the gcloud auth application-default login command will properly configure credentials for you. In the case of a service account, setting the GOOGLE_APPLICATION_CREDENTIALS environment variable to a path containing a service account keypair will be required.

You can verify access is working correctly using two commands within the tool; gcptool list-projects will print a list of projects you can currently access, and gcptool check <PROJECT-NAME> will verify your account has the necessary set of permissions to perform all scans.

Running Tests

Once you've verified access, the gcptool scan command can be used to perform testing. To run a basic scan, the command can be used as follows:

gcptool scan PROJECT-NAME,PROJECT-NAME-2 path/to/report/findings/folder

This will produce several outputs:

• A JSON inventory of Google Cloud Resources in gcptool_cache.json in the current directory (NOTE: this file should be handled with care, as it may contain sensitive information)
• CDPS-format Markdown findings ready for editing and use in a report (Note that some of these are guidance to possible points of interest for manual testing)
• gcptool.log log file with more detailed information

gcptool will use the generated cache file when possible to avoid making extraneous API requests; the --cache-only option can be used to exit with an error if any scan would required fresh data from the API. This is convenient, for example, to run new scans against already-collected data.

Other useful arguments are:

• --service: only run scans for a specific GCP service. For example, --scan compute will only run Compute Engine tests.
• --scan: only run a specific scan. One particularly useful use for this argument is --scan inventory, which will gather data or a complete cache file but will not run any analysis. (gcptool list-scans provides a helpful list of scans and services)

Development

Development dependencies

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