Publicly Accessible BigQuery Datasets

ID: gcloud-bigquery-public-datasets

Severity: high

Author: princechaddha

Tags: cloud,devops,gcp,gcloud,bigquery,gcp-cloud-config

Description

Ensure there are no anonymously and/or publicly accessible BigQuery datasets available within your Google Cloud Platform (GCP) account. Google Cloud BigQuery datasets have Identity and Access Management (IAM) policies configured to determine who can have access to these resources. To refuse access from anonymous and public users, remove the bindings for “allUsers” and “allAuthenticatedUsers” members from the IAM policy associated with your datasets.

YAML Source

id: gcloud-bigquery-public-datasets

info:
  name: Publicly Accessible BigQuery Datasets
  author: princechaddha
  severity: high
  description: |
    Ensure there are no anonymously and/or publicly accessible BigQuery datasets available within your Google Cloud Platform (GCP) account. Google Cloud BigQuery datasets have Identity and Access Management (IAM) policies configured to determine who can have access to these resources. To refuse access from anonymous and public users, remove the bindings for "allUsers" and "allAuthenticatedUsers" members from the IAM policy associated with your datasets.
  impact: |
    Publicly accessible BigQuery datasets can lead to unauthorized data access or data leaks. Ensuring that access is restricted helps maintain the integrity and confidentiality of your data.
  remediation: |
    Update the IAM policies for each BigQuery dataset to remove "allUsers" and "allAuthenticatedUsers". This action will ensure that datasets are not exposed to any user on the internet or authenticated users not explicitly granted permission.
  reference:
    - https://cloud.google.com/bigquery/docs/managing-dataset-access
  tags: cloud,devops,gcp,gcloud,bigquery,gcp-cloud-config

flow: |
  code(1)
  for(let projectId of iterate(template.projectIds)){
    set("projectId", projectId)
    code(2)
    for(let datasetId of iterate(template.datasetIds)){
      set("datasetId", datasetId)
      code(3)
    }
  }

self-contained: true

code:
  - engine:
      - sh
      - bash
    source: |
      gcloud projects list --format="json(projectId)"

    extractors:
      - type: json
        name: projectIds
        internal: true
        json:
          - '.[].projectId'

  - engine:
      - sh
      - bash
    source: |
      bq ls --project_id $projectId --format=json

    extractors:
      - type: json
        name: datasetIds
        internal: true
        json:
          - '.[].datasetId'

  - engine:
      - sh
      - bash
    source: |
      bq show --format=prettyjson $projectId:$datasetId | jq '.access[] | select(.role != null and (.specialGroup == "allUsers" or .specialGroup == "allAuthenticatedUsers")) | .role'

    matchers:
      - type: word
        words:
          - 'roles/bigquery.dataViewer'
          - 'roles/bigquery.dataEditor'
          - 'roles/bigquery.dataOwner'
        condition: or

    extractors:
      - type: dsl
        dsl:
          - '"Publicly Accessible BigQuery Dataset: " + datasetId + " in Project: " + projectId'
# digest: 490a004630440220244f74cd6bc6aa70ae3f127aab2e43cee539141d4eaf7c460ba11126ce1d46ed02202d883b802f8d9610b05efe7ff9d09e24acde57969de692f527722f4cf7f7de53:922c64590222798bb761d5b6d8e72950

Guide to check the vulnerabilities

This template is used to detect vulnerabilities in web applications. It can be used with the Nuclei tool to scan for specific patterns or behaviors.

$ nuclei -u "URL" -t "cloud/gcp/bigquery/gcloud-bigquery-public-datasets.yaml"

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