gcp_scanner

pip install gcp_scanner
python3 -m gcp_scanner --help

git clone https://github.com/google/gcp_scanner
cd gcp_scanner
pip install .
gcp-scanner --help

usage: python3 scanner.py -o folder_to_save_results -g -

GCP Scanner

options:
  -h, --help            show this help message and exit
  -ls, --light-scan     Return only the most important GCP resource fields in the output.
  -k KEY_PATH, --sa-key-path KEY_PATH
                        Path to directory with SA keys in json format
  -g GCLOUD_PROFILE_PATH, --gcloud-profile-path GCLOUD_PROFILE_PATH
                        Path to directory with gcloud profile. Specify - to search for credentials in default gcloud config path
  -m, --use-metadata    Extract credentials from GCE instance metadata
  -at ACCESS_TOKEN_FILES, --access-token-files ACCESS_TOKEN_FILES
                        A list of comma separated files with access token and OAuth scopes.TTL limited. A token and scopes should be stored in JSON format.
  -rt REFRESH_TOKEN_FILES, --refresh-token-files REFRESH_TOKEN_FILES
                        A list of comma separated files with refresh_token, client_id,token_uri and client_secret stored in JSON format.
  -s KEY_NAME, --service-account KEY_NAME
                        Name of individual SA to scan
  -p TARGET_PROJECT, --project TARGET_PROJECT
                        Name of individual project to scan
  -f FORCE_PROJECTS, --force-projects FORCE_PROJECTS
                        Comma separated list of project names to include in the scan
  -c CONFIG_PATH, --config CONFIG_PATH
                        A path to config file with a set of specific resources to scan.
  -l {DEBUG,INFO,WARNING,ERROR,CRITICAL}, --logging {DEBUG,INFO,WARNING,ERROR,CRITICAL}
                        Set logging level (INFO, WARNING, ERROR)
  -lf LOG_FILE, --log-file LOG_FILE
                        Save logs to the path specified rather than displaying in console
  -pwc PROJECT_WORKER_COUNT, --project-worker-count PROJECT_WORKER_COUNT
                        Set limit for project crawlers run in parallel.
  -rwc RESOURCE_WORKER_COUNT, --resource-worker-count RESOURCE_WORKER_COUNT
                        Set limit for resource crawlers run in parallel.

Required parameters:
  -o OUTPUT, --output-dir OUTPUT
                        Path to output directory

usage: gcp-scanner-visualizer -p 8080

GCP Scanner Visualizer

options:
  -h, --help            show this help message and exit
  -p PORT, --port PORT  Port to listen on default 8080