Files
mukul975 ef27f026cb feat: enrich 209 skills with MITRE ATLAS, D3FEND, and NIST AI RMF frontmatter
Added structured security framework mappings to SKILL.md frontmatter across all applicable skills:
- atlas_techniques: MITRE ATLAS v5.5 AML.TXXXX IDs (81 skills, AI-targeted attack techniques)
- d3fend_techniques: MITRE D3FEND v1.3 defensive technique labels (139 skills, mapped from ATT&CK IDs)
- nist_ai_rmf: NIST AI RMF 1.0 subcategory IDs (85 skills, AI risk management functions)

Also updates ATTACK_COVERAGE.md with coverage statistics for all three frameworks.
2026-04-06 01:56:17 +02:00

2.5 KiB

name, description, domain, subdomain, tags, version, author, license, nist_ai_rmf, atlas_techniques
name description domain subdomain tags version author license nist_ai_rmf atlas_techniques
performing-gcp-penetration-testing-with-gcpbucketbrute Perform GCP security testing using GCPBucketBrute for storage bucket enumeration, gcloud IAM privilege escalation path analysis, and service account permission auditing cybersecurity cloud-security
gcp
cloud-pentesting
bucket-enumeration
iam-audit
privilege-escalation
gcpbucketbrute
1.0 mahipal Apache-2.0
MEASURE-2.7
MAP-5.1
MANAGE-2.4
AML.T0070
AML.T0066
AML.T0082

Performing GCP Penetration Testing with GCPBucketBrute

Overview

This skill covers Google Cloud Platform security testing using GCPBucketBrute for storage bucket enumeration and access permission testing, combined with gcloud CLI IAM enumeration to identify privilege escalation paths. The approach tests for publicly accessible buckets, overly permissive IAM bindings, and service account key exposure.

When to Use

  • When conducting security assessments that involve performing gcp penetration testing with gcpbucketbrute
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • Python 3.8+ with google-cloud-storage library
  • GCPBucketBrute installed from RhinoSecurityLabs GitHub
  • gcloud CLI authenticated with test credentials
  • Authorized penetration testing scope for target GCP project
  • google-api-python-client and google-auth libraries

Steps

  1. Enumerate Storage Buckets — Use GCPBucketBrute with keyword permutations to discover accessible GCP storage buckets
  2. Test Bucket Permissions — Call TestIamPermissions API on each discovered bucket to determine read/write/admin access levels
  3. Audit IAM Bindings — Enumerate project-level IAM policies to identify overly permissive role bindings
  4. Check Service Account Keys — Identify service accounts with user-managed keys and test for privilege escalation via impersonation
  5. Test Privilege Escalation Paths — Check for iam.serviceAccounts.actAs, setIamPolicy, and other privilege escalation vectors
  6. Generate Findings Report — Produce a structured security assessment with risk severity ratings

Expected Output

  • JSON report of discovered buckets with permission levels
  • IAM privilege escalation path analysis
  • Service account security assessment
  • Risk-scored findings with remediation recommendations