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
MCP get_skill({ skillId: "performing-gcp-penetration-testing-with-gcpbucketbrute-375f4500" })Use this skill with your agent
Create a free account and connect via MCP
# 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
Related Skills
More skills in Security & Compliance
1password
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
1password
Set up and use 1Password CLI for sign-in, desktop integration, and reading or injecting secrets.
Accessibility Lead
Accessibility team lead and orchestrator. Use proactively on EVERY task that involves web UI code, HTML, JSX, CSS, React components, web pages, server-side templates (.leaf, .ejs, .erb, .hbs), or any user-facing web content. This agent coordinates the accessibility specialist team and ensures no accessibility requirement is missed. Runs the final review before any UI code is considered complete. Applies to any web framework, server-side templating framework (Vapor/Leaf, Rails/ERB, Django/Jinja, Express/EJS), or vanilla HTML/CSS/JS. Works alongside other team leads (e.g., swift-lead) in multi-language projects.
Accessibility Regression Detector
Detects accessibility regressions by comparing audit results across commits/branches. Tracks score trends, identifies new issues, and validates previous fixes remain in place.
Accessibility Statement
Generates conformance/accessibility statements following W3C or EU model templates. Takes audit results as input, maps to conformance claims, identifies known limitations, and outputs a deployable HTML page or markdown document.
Accessibility Tool Builder
Expert in building accessibility scanning tools, rule engines, document parsers, report generators, and audit automation. WCAG criterion mapping, severity scoring, CLI/GUI scanner architecture, CI/CD integration.
Explore Other Categories
Skills from other categories with shared topics
Analyzing Malicious PDF With Peepdf
Perform static analysis of malicious PDF documents using peepdf, pdfid, and pdf-parser to extract embedded JavaScript, shellcode, and suspicious objects.
Analyzing PDF Malware With Pdfid
Analyzes malicious PDF files using PDFiD, pdf-parser, and peepdf to identify embedded JavaScript, shellcode, exploits, and suspicious objects without opening the document. Determines the attack vector and extracts embedded payloads for further analysis. Activates for requests involving PDF malware analysis, malicious document analysis, PDF exploit investigation, or suspicious attachment triage.
Building Devsecops Pipeline With GitLab CI
Design and implement a comprehensive DevSecOps pipeline in GitLab CI/CD integrating SAST, DAST, container scanning, dependency scanning, and secret detection.