Ensure that external IP addresses are not assigned to your Google Cloud Vertex AI notebook instances, in order to help prevent data exfiltration, maintain network isolation, and meet stringent compliance requirements. Vertex AI notebook instances with an assigned external IP address can communicate with the public internet or resources in other VPC networks, which may violate security policies.
PoC代码[已公开]
id: gcloud-vertexai-external-ip
info:
name: External IP Addresses Assigned to Vertex AI Notebooks
author: princechaddha
severity: medium
description: |
Ensure that external IP addresses are not assigned to your Google Cloud Vertex AI notebook instances, in order to help prevent data exfiltration, maintain network isolation, and meet stringent compliance requirements. Vertex AI notebook instances with an assigned external IP address can communicate with the public internet or resources in other VPC networks, which may violate security policies.
impact: |
Assigning external IP addresses to notebook instances exposes them directly to the Internet, bypassing certain security controls. This increases the risk of unauthorized access, potential vulnerabilities, and data exfiltration.
remediation: |
Re-create Vertex AI notebook instances without external IP addresses using the 'gcloud workbench instances create' command with --disable-public-ip flag. Example: gcloud workbench instances create INSTANCE_NAME --disable-public-ip
reference:
- https://www.trendmicro.com/cloudoneconformity/knowledge-base/gcp/VertexAI/prevent-external-ip-usage.html
- https://cloud.google.com/vertex-ai/docs/workbench/user-managed/manage-instance
tags: cloud,devops,gcp,gcloud,vertexai,security,networking,gcp-cloud-config
flow: |
code(1)
for(let projectId of iterate(template.projectIds)){
set("projectId", projectId)
code(2)
}
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: |
gcloud workbench instances describe tm-vertex-ai-notebook-instance --location=us-central1-a --project=$projectId --format="yaml(gceSetup.disablePublicIp)"
matchers:
- type: word
words:
- "null"
extractors:
- type: dsl
dsl:
- '"Project " + projectId + " has Vertex AI notebook instances with external IP addresses enabled"'
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