Individual skill
gcp-cloud-pentesting
GCP offensive testing — principal and project identification, org/folder/project IAM inheritance, service accounts, Cloud Asset Inventory, storage, secrets, KMS, Compute, Cloud Run and Cloud Functions, GKE boundaries, Cloud Build, and Artifact Registry with gcloud as the baseline
internal/tools/skills/data/cloud-security/gcp-cloud-pentesting/SKILL.md
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- cybersecurity Repository topic
- security Repository topic
- bug-bounty Repository topic
- automation Repository topic
- autonomous-pentesting Repository topic
- ai-agent Repository topic
- ai-security Repository topic
- ethical-hacking Repository topic
- golang Repository topic
- penetration-testing Repository topic
- testing Derived category
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# GCP Cloud Pentesting
## Purpose
Full GCP offensive methodology: from project IDs/buckets discovered black-box to mapped IAM inheritance, service-account identity, and resource access with a validated credential. Modern tooling only — gcloud, Cloud Asset Inventory, Policy Analyzer, and native IAM/resource APIs. (Forseti is retired: the upstream project is archived; its inventory concepts live on in Cloud Asset Inventory.)
## Entry Conditions
- Black-box: project IDs, `storage.googleapis.com` buckets, Firebase configs, or `run.app`/`cloudfunctions.net` endpoints from `cloud-attack-surface-discovery`
- Credentialed: service-account JSON, OAuth token, or ADC credential from `cloud-credential-abuse`
## Discovery Signals
- Project IDs: bucket names (`gs://<project>-*`), Firebase `projectId`, API error messages
- Service-account emails in configuration, IAM bindings, metadata leaks
- `*.googleapis.com` endpoints in client code
