Cloud Scout Cheat Sheet

generieren

Überblick

Cloud Scout ist ein Open-Source-Tool, das von Sygnia für Cloud-Sicherheits-Mapping und Angriffspfad-Visualisierung in hybriden Cloud-Umgebungen entwickelt wurde. Diese umfassende Plattform bietet Sicherheitsteams die Möglichkeit, Cloud-Infrastruktur zu erstellen, Angriffspfade zu identifizieren und potenzielle Sicherheitsrisiken in den Umgebungen AWS, Azure und Google Cloud Platform zu visualisieren. Cloud Scout zeichnet sich durch die Kombination von Daten mehrerer Cloud-Anbieter und On-Premises-Infrastruktur aus, um umfassende Angriffspfadanalysen und Sicherheitsmapping-Funktionen zu erstellen.

ZEIT Warning: Cloud Scout benötigt entsprechende Berechtigungen zum Zugriff auf Cloud-Ressourcen. Verwenden Sie dieses Tool nur gegen Cloud-Umgebungen, die Sie besitzen oder eine ausdrückliche schriftliche Genehmigung zur Beurteilung haben. Unberechtigtes Cloud-Scannen kann die Nutzungsbedingungen und die lokalen Gesetze verletzen.

Installation und Inbetriebnahme

Voraussetzungen

```bash

Install Python 3.8 or higher

python3 --version

Install pip and virtualenv

sudo apt update sudo apt install python3-pip python3-venv

Install Node.js for web interface

curl -fsSL https://deb.nodesource.com/setup_18.x|sudo -E bash - sudo apt-get install -y nodejs

Install Docker for containerized deployment

sudo apt install docker.io docker-compose sudo usermod -aG docker $USER ```_

Installation von Source

```bash

Clone Cloud Scout repository

git clone https://github.com/Sygnia/cloud-scout.git cd cloud-scout

Create virtual environment

python3 -m venv cloud-scout-env source cloud-scout-env/bin/activate

Install dependencies

pip install -r requirements.txt

Install additional dependencies for cloud providers

pip install boto3 azure-identity azure-mgmt-resource google-cloud-asset

Verify installation

python cloud_scout.py --help ```_

Docker Installation

```bash

Pull Cloud Scout Docker image

docker pull sygnia/cloud-scout:latest

Run Cloud Scout in Docker

docker run -it --rm \ -v $(pwd)/config:/app/config \ -v $(pwd)/output:/app/output \ -p 8080:8080 \ sygnia/cloud-scout:latest

Create Docker Compose setup

cat > docker-compose.yml << 'EOF' version: '3.8' services: cloud-scout: image: sygnia/cloud-scout:latest ports: - "8080:8080" volumes: - ./config:/app/config - ./output:/app/output - ./data:/app/data environment: - CLOUD_SCOUT_CONFIG=/app/config/config.yaml EOF

Start with Docker Compose

docker-compose up -d ```_

Cloud Provider Setup

AWS Konfiguration

```bash

Install AWS CLI

curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" unzip awscliv2.zip sudo ./aws/install

Configure AWS credentials

aws configure

Enter Access Key ID, Secret Access Key, Region, Output format

Create IAM policy for Cloud Scout

cat > cloud-scout-policy.json << 'EOF' \\{ "Version": "2012-10-17", "Statement": [ \\{ "Effect": "Allow", "Action": [ "ec2:Describe", "iam:List", "iam:Get", "s3:List", "s3:Get", "rds:Describe", "lambda:List", "lambda:Get", "cloudformation:List", "cloudformation:Describe", "cloudtrail:Describe", "cloudtrail:Get", "organizations:List", "organizations:Describe" ], "Resource": "*" \\} ] \\} EOF

Create IAM user and attach policy

aws iam create-user --user-name cloud-scout-user aws iam put-user-policy --user-name cloud-scout-user --policy-name CloudScoutPolicy --policy-document file://cloud-scout-policy.json aws iam create-access-key --user-name cloud-scout-user ```_

Azure Konfiguration

```bash

Install Azure CLI

curl -sL https://aka.ms/InstallAzureCLIDeb|sudo bash

az login

Create service principal for Cloud Scout

az ad sp create-for-rbac --name "cloud-scout-sp" --role "Reader" --scopes "/subscriptions/$(az account show --query id -o tsv)"

Grant additional permissions

az role assignment create --assignee --role "Security Reader" --scope "/subscriptions/$(az account show --query id -o tsv)"

Set environment variables

export AZURE_CLIENT_ID="" export AZURE_CLIENT_SECRET="" export AZURE_TENANT_ID="" export AZURE_SUBSCRIPTION_ID="" ```_

Google Cloud Platform Konfiguration

```bash

Install Google Cloud SDK

curl https://sdk.cloud.google.com|bash exec -l $SHELL

Initialize gcloud

gcloud init

Create service account

gcloud iam service-accounts create cloud-scout-sa --display-name="Cloud Scout Service Account"

Grant necessary roles

gcloud projects add-iam-policy-binding PROJECT_ID \ --member="serviceAccount:cloud-scout-sa@PROJECT_ID.iam.gserviceaccount.com" \ --role="roles/viewer"

gcloud projects add-iam-policy-binding PROJECT_ID \ --member="serviceAccount:cloud-scout-sa@PROJECT_ID.iam.gserviceaccount.com" \ --role="roles/security.securityReviewer"

Create and download service account key

gcloud iam service-accounts keys create cloud-scout-key.json \ --iam-account=cloud-scout-sa@PROJECT_ID.iam.gserviceaccount.com

Set environment variable

export GOOGLE_APPLICATION_CREDENTIALS="$(pwd)/cloud-scout-key.json" ```_

Konfiguration

Grundkonfiguration

```yaml

config/config.yaml

cloud_scout: # General settings output_directory: "./output" log_level: "INFO" max_threads: 10

# Cloud providers providers: aws: enabled: true regions: ["us-east-1", "us-west-2", "eu-west-1"] accounts: ["123456789012"]

azure:
  enabled: true
  subscriptions: ["subscription-id-1", "subscription-id-2"]

gcp:
  enabled: true
  projects: ["project-id-1", "project-id-2"]

# Data collection settings collection: compute_instances: true storage_buckets: true databases: true network_resources: true iam_resources: true security_groups: true load_balancers: true dns_records: true

# Analysis settings analysis: attack_paths: true privilege_escalation: true lateral_movement: true data_exfiltration: true persistence_mechanisms: true

# Visualization settings visualization: web_interface: true port: 8080 export_formats: ["json", "csv", "graphml"] ```_

Erweiterte Konfiguration

```yaml

config/advanced-config.yaml

cloud_scout: # Advanced collection settings collection: deep_scan: true include_metadata: true scan_interval: 3600 # seconds

# Resource-specific settings
compute:
  include_stopped_instances: true
  scan_instance_metadata: true
  check_user_data: true

storage:
  scan_bucket_policies: true
  check_public_access: true
  analyze_encryption: true

network:
  map_vpc_peering: true
  analyze_security_groups: true
  check_nacls: true
  scan_route_tables: true

iam:
  analyze_policies: true
  check_cross_account_access: true
  map_role_assumptions: true
  scan_service_accounts: true

# Attack path analysis attack_paths: algorithms: - "shortest_path" - "privilege_escalation" - "lateral_movement" - "data_access"

risk_scoring:
  enabled: true
  factors:
    - "exposure_level"
    - "privilege_level"
    - "data_sensitivity"
    - "attack_complexity"

filters:
  min_risk_score: 5
  max_path_length: 10
  exclude_low_impact: true

# Reporting settings reporting: formats: ["html", "pdf", "json"] include_remediation: true executive_summary: true technical_details: true

templates:
  executive: "templates/executive.html"
  technical: "templates/technical.html"
  compliance: "templates/compliance.html"

```_

Basisnutzung

Initial Cloud Mapping

```bash

Basic cloud mapping across all configured providers

python cloud_scout.py map --all-providers

Map specific cloud provider

python cloud_scout.py map --provider aws python cloud_scout.py map --provider azure python cloud_scout.py map --provider gcp

Map specific regions/subscriptions/projects

python cloud_scout.py map --provider aws --regions us-east-1,us-west-2 python cloud_scout.py map --provider azure --subscriptions sub-id-1 python cloud_scout.py map --provider gcp --projects project-1,project-2

Map with specific resource types

python cloud_scout.py map --resources compute,storage,network ```_

Analyse von Pfaden

```bash

Analyze attack paths across all mapped resources

python cloud_scout.py analyze --attack-paths

Analyze specific attack scenarios

python cloud_scout.py analyze --scenario privilege-escalation python cloud_scout.py analyze --scenario lateral-movement python cloud_scout.py analyze --scenario data-exfiltration

Analyze with risk scoring

python cloud_scout.py analyze --risk-scoring --min-score 7

Generate attack path report

python cloud_scout.py analyze --output-format html --report-type attack-paths ```_

Sicherheitsbewertung

```bash

Comprehensive security assessment

python cloud_scout.py assess --comprehensive

Assess specific security domains

python cloud_scout.py assess --domains iam,network,storage python cloud_scout.py assess --domains compute,database

Compliance assessment

python cloud_scout.py assess --compliance cis-aws python cloud_scout.py assess --compliance nist-csf python cloud_scout.py assess --compliance iso27001

Custom security checks

python cloud_scout.py assess --custom-checks config/custom-checks.yaml ```_

Erweiterte Funktionen

Multi-Cloud-Umgebung Mapping

```bash

Map hybrid cloud environment

python cloud_scout.py map-hybrid \ --aws-accounts 123456789012,987654321098 \ --azure-subscriptions sub-1,sub-2 \ --gcp-projects project-1,project-2 \ --include-on-premises

Cross-cloud relationship analysis

python cloud_scout.py analyze-relationships \ --cross-cloud \ --include-vpn-connections \ --include-peering

Multi-cloud attack path analysis

python cloud_scout.py analyze-attack-paths \ --multi-cloud \ --include-cross-cloud-paths \ --risk-threshold 8 ```_

Erweiterte Visualisierung

```bash

Generate interactive visualization

python cloud_scout.py visualize \ --interactive \ --include-attack-paths \ --color-by-risk

Export to graph formats

python cloud_scout.py export \ --format graphml \ --include-metadata \ --output cloud-topology.graphml

Generate network diagrams

python cloud_scout.py diagram \ --type network \ --provider aws \ --region us-east-1 \ --output network-diagram.png ```_

Kontinuierliche Überwachung

```bash

Set up continuous monitoring

python cloud_scout.py monitor \ --interval 3600 \ --alert-on-changes \ --webhook-url https://hooks.slack.com/services/...

Compare cloud states

python cloud_scout.py compare \ --baseline baseline-20231201.json \ --current current-scan.json \ --output-diff changes-report.html

Automated reporting

python cloud_scout.py report \ --schedule daily \ --email-recipients security@company.com \ --include-executive-summary ```_

Automatisierungsskripte

Umfassende Cloud Security Assessment

```bash

!/bin/bash

Comprehensive cloud security assessment using Cloud Scout

ASSESSMENT_NAME="$1" OUTPUT_DIR="cloud_assessment_$(date +%Y%m%d_%H%M%S)" REPORT_DIR="$OUTPUT_DIR/reports" DATA_DIR="$OUTPUT_DIR/data"

if [ -z "$ASSESSMENT_NAME" ]; then echo "Usage: $0 " echo "Example: $0 'Q4_2023_Security_Assessment'" exit 1 fi

mkdir -p "$REPORT_DIR" "$DATA_DIR"

Function to perform cloud mapping

perform_cloud_mapping() \\{ echo "[+] Starting cloud mapping phase"

# Map AWS environments
if python cloud_scout.py check-provider --provider aws; then
    echo "  [+] Mapping AWS environment"
    python cloud_scout.py map \
        --provider aws \
        --all-regions \
        --output "$DATA_DIR/aws-mapping.json" \
        --verbose
fi

# Map Azure environments
if python cloud_scout.py check-provider --provider azure; then
    echo "  [+] Mapping Azure environment"
    python cloud_scout.py map \
        --provider azure \
        --all-subscriptions \
        --output "$DATA_DIR/azure-mapping.json" \
        --verbose
fi

# Map GCP environments
if python cloud_scout.py check-provider --provider gcp; then
    echo "  [+] Mapping GCP environment"
    python cloud_scout.py map \
        --provider gcp \
        --all-projects \
        --output "$DATA_DIR/gcp-mapping.json" \
        --verbose
fi

# Combine mappings
python cloud_scout.py combine-mappings \
    --input-dir "$DATA_DIR" \
    --output "$DATA_DIR/combined-mapping.json"

echo "[+] Cloud mapping completed"

\\}

Function to analyze attack paths

analyze_attack_paths() \\{ echo "[+] Starting attack path analysis"

# Comprehensive attack path analysis
python cloud_scout.py analyze-attack-paths \
    --input "$DATA_DIR/combined-mapping.json" \
    --all-scenarios \
    --risk-scoring \
    --output "$DATA_DIR/attack-paths.json"

# Privilege escalation analysis
python cloud_scout.py analyze-privilege-escalation \
    --input "$DATA_DIR/combined-mapping.json" \
    --include-cross-account \
    --output "$DATA_DIR/privilege-escalation.json"

# Lateral movement analysis
python cloud_scout.py analyze-lateral-movement \
    --input "$DATA_DIR/combined-mapping.json" \
    --include-network-paths \
    --output "$DATA_DIR/lateral-movement.json"

# Data exfiltration analysis
python cloud_scout.py analyze-data-exfiltration \
    --input "$DATA_DIR/combined-mapping.json" \
    --include-storage-access \
    --output "$DATA_DIR/data-exfiltration.json"

echo "[+] Attack path analysis completed"

\\}

Function to perform security assessment

perform_security_assessment() \\{ echo "[+] Starting security assessment"

# CIS benchmark assessment
python cloud_scout.py assess-compliance \
    --framework cis \
    --input "$DATA_DIR/combined-mapping.json" \
    --output "$DATA_DIR/cis-assessment.json"

# NIST CSF assessment
python cloud_scout.py assess-compliance \
    --framework nist-csf \
    --input "$DATA_DIR/combined-mapping.json" \
    --output "$DATA_DIR/nist-assessment.json"

# Custom security checks
python cloud_scout.py assess-security \
    --custom-checks config/security-checks.yaml \
    --input "$DATA_DIR/combined-mapping.json" \
    --output "$DATA_DIR/security-assessment.json"

# Risk assessment
python cloud_scout.py assess-risk \
    --input "$DATA_DIR/combined-mapping.json" \
    --include-attack-paths "$DATA_DIR/attack-paths.json" \
    --output "$DATA_DIR/risk-assessment.json"

echo "[+] Security assessment completed"

\\}

Function to generate reports

generate_reports() \\{ echo "[+] Generating comprehensive reports"

# Executive summary report
python cloud_scout.py generate-report \
    --template executive \
    --input-dir "$DATA_DIR" \
    --output "$REPORT_DIR/executive-summary.html" \
    --title "$ASSESSMENT_NAME - Executive Summary"

# Technical report
python cloud_scout.py generate-report \
    --template technical \
    --input-dir "$DATA_DIR" \
    --output "$REPORT_DIR/technical-report.html" \
    --title "$ASSESSMENT_NAME - Technical Report" \
    --include-remediation

# Attack path report
python cloud_scout.py generate-report \
    --template attack-paths \
    --input "$DATA_DIR/attack-paths.json" \
    --output "$REPORT_DIR/attack-paths-report.html" \
    --include-visualizations

# Compliance report
python cloud_scout.py generate-report \
    --template compliance \
    --input-dir "$DATA_DIR" \
    --output "$REPORT_DIR/compliance-report.html" \
    --frameworks cis,nist-csf

# Generate PDF reports
for html_file in "$REPORT_DIR"/*.html; do
    pdf_file="$\\\\{html_file%.html\\\\}.pdf"

| wkhtmltopdf "$html_file" "$pdf_file" 2>/dev/null | | \ | echo "Warning: Could not generate PDF for $(basename "$html_file")" done

echo "[+] Report generation completed"

\\}

Function to create visualizations

create_visualizations() \\{ echo "[+] Creating visualizations"

# Network topology visualization
python cloud_scout.py visualize-topology \
    --input "$DATA_DIR/combined-mapping.json" \
    --output "$REPORT_DIR/network-topology.html" \
    --interactive

# Attack path visualization
python cloud_scout.py visualize-attack-paths \
    --input "$DATA_DIR/attack-paths.json" \
    --output "$REPORT_DIR/attack-paths-visualization.html" \
    --color-by-risk

# Risk heatmap
python cloud_scout.py generate-heatmap \
    --input "$DATA_DIR/risk-assessment.json" \
    --output "$REPORT_DIR/risk-heatmap.png" \
    --dimensions provider,service,risk-level

# Export to graph formats
python cloud_scout.py export-graph \
    --input "$DATA_DIR/combined-mapping.json" \
    --format graphml \
    --output "$DATA_DIR/cloud-topology.graphml"

echo "[+] Visualization creation completed"

\\}

Function to generate summary

generate_summary() \\{ echo "[+] Generating assessment summary"

cat > "$OUTPUT_DIR/assessment-summary.txt" << EOF

Cloud Security Assessment Summary

Assessment Name: $ASSESSMENT_NAME Date: $(date) Output Directory: $OUTPUT_DIR

Files Generated: - Data Files: $DATA_DIR/ - Reports: $REPORT_DIR/ - Visualizations: $REPORT_DIR/

Key Findings: $(python cloud_scout.py summarize --input-dir "$DATA_DIR" --format text)

Next Steps: 1. Review executive summary report 2. Analyze attack path visualizations 3. Implement high-priority remediation items 4. Schedule follow-up assessment

EOF

echo "[+] Assessment summary generated: $OUTPUT_DIR/assessment-summary.txt"

\\}

Main execution

echo "[+] Starting comprehensive cloud security assessment: $ASSESSMENT_NAME"

Check dependencies

| if ! command -v python &> /dev/null | | ! python -c "import cloud_scout" 2>/dev/null; then | echo "[-] Cloud Scout not found or not properly installed" exit 1 fi

Perform assessment phases

perform_cloud_mapping analyze_attack_paths perform_security_assessment generate_reports create_visualizations generate_summary

echo "[+] Comprehensive cloud security assessment completed" echo "[+] Results saved in: $OUTPUT_DIR" echo "[+] Open $REPORT_DIR/executive-summary.html for overview" ```_

Multi-Cloud-Angriffspfad-Entdeckung

```bash

!/bin/bash

Multi-cloud attack path discovery and analysis

TARGET_ENVIRONMENT="$1" ATTACK_SCENARIO="$2" OUTPUT_DIR="attack_path_analysis_$(date +%Y%m%d_%H%M%S)"

| if [ -z "$TARGET_ENVIRONMENT" ] | | [ -z "$ATTACK_SCENARIO" ]; then | echo "Usage: $0 " echo "Environments: production, staging, development, all" echo "Scenarios: privilege-escalation, lateral-movement, data-exfiltration, persistence, all" exit 1 fi

mkdir -p "$OUTPUT_DIR"

Function to discover attack paths

discover_attack_paths() \\{ local environment="$1" local scenario="$2" local output_file="$OUTPUT_DIR/attack_paths_$\\{environment\\}_$\\{scenario\\}.json"

echo "[+] Discovering attack paths for $environment environment, scenario: $scenario"

# Configure environment-specific settings
case "$environment" in
    "production")
        config_file="config/production.yaml"
        ;;
    "staging")
        config_file="config/staging.yaml"
        ;;
    "development")
        config_file="config/development.yaml"
        ;;
    "all")
        config_file="config/all-environments.yaml"
        ;;
    *)
        echo "[-] Unknown environment: $environment"
        return 1
        ;;
esac

# Perform attack path discovery
python cloud_scout.py discover-attack-paths \
    --config "$config_file" \
    --scenario "$scenario" \
    --deep-analysis \
    --include-cross-cloud \
    --output "$output_file"

if [ $? -eq 0 ]; then
    echo "  [+] Attack paths discovered: $output_file"

    # Analyze path complexity
    python cloud_scout.py analyze-path-complexity \
        --input "$output_file" \
        --output "$OUTPUT_DIR/complexity_analysis_$\\\\{environment\\\\}_$\\\\{scenario\\\\}.json"

    # Calculate risk scores
    python cloud_scout.py calculate-risk-scores \
        --input "$output_file" \
        --risk-factors config/risk-factors.yaml \
        --output "$OUTPUT_DIR/risk_scores_$\\\\{environment\\\\}_$\\\\{scenario\\\\}.json"

    return 0
else
    echo "  [-] Failed to discover attack paths for $environment"
    return 1
fi

\\}

Function to analyze privilege escalation paths

analyze_privilege_escalation() \\{ echo "[+] Analyzing privilege escalation paths"

# AWS privilege escalation
python cloud_scout.py analyze-aws-privesc \
    --include-iam-policies \
    --include-assume-role \
    --include-cross-account \
    --output "$OUTPUT_DIR/aws-privesc-paths.json"

# Azure privilege escalation
python cloud_scout.py analyze-azure-privesc \
    --include-rbac \
    --include-managed-identity \
    --include-service-principal \
    --output "$OUTPUT_DIR/azure-privesc-paths.json"

# GCP privilege escalation
python cloud_scout.py analyze-gcp-privesc \
    --include-iam-bindings \
    --include-service-accounts \
    --include-workload-identity \
    --output "$OUTPUT_DIR/gcp-privesc-paths.json"

# Cross-cloud privilege escalation
python cloud_scout.py analyze-cross-cloud-privesc \
    --aws-input "$OUTPUT_DIR/aws-privesc-paths.json" \
    --azure-input "$OUTPUT_DIR/azure-privesc-paths.json" \
    --gcp-input "$OUTPUT_DIR/gcp-privesc-paths.json" \
    --output "$OUTPUT_DIR/cross-cloud-privesc-paths.json"

\\}

Function to analyze lateral movement paths

analyze_lateral_movement() \\{ echo "[+] Analyzing lateral movement paths"

# Network-based lateral movement
python cloud_scout.py analyze-network-lateral-movement \
    --include-vpc-peering \
    --include-transit-gateway \
    --include-vpn-connections \
    --output "$OUTPUT_DIR/network-lateral-movement.json"

# Service-based lateral movement
python cloud_scout.py analyze-service-lateral-movement \
    --include-lambda-functions \
    --include-container-services \
    --include-database-connections \
    --output "$OUTPUT_DIR/service-lateral-movement.json"

# Identity-based lateral movement
python cloud_scout.py analyze-identity-lateral-movement \
    --include-shared-credentials \
    --include-federated-access \
    --include-service-accounts \
    --output "$OUTPUT_DIR/identity-lateral-movement.json"

\\}

Function to analyze data exfiltration paths

analyze_data_exfiltration() \\{ echo "[+] Analyzing data exfiltration paths"

# Storage-based exfiltration
python cloud_scout.py analyze-storage-exfiltration \
    --include-s3-buckets \
    --include-blob-storage \
    --include-cloud-storage \
    --check-public-access \
    --output "$OUTPUT_DIR/storage-exfiltration.json"

# Database exfiltration
python cloud_scout.py analyze-database-exfiltration \
    --include-rds \
    --include-sql-database \
    --include-cloud-sql \
    --check-backup-access \
    --output "$OUTPUT_DIR/database-exfiltration.json"

# API-based exfiltration
python cloud_scout.py analyze-api-exfiltration \
    --include-api-gateways \
    --include-function-apps \
    --include-cloud-functions \
    --output "$OUTPUT_DIR/api-exfiltration.json"

\\}

Function to generate attack path report

generate_attack_path_report() \\{ echo "[+] Generating comprehensive attack path report"

# Combine all attack path data
python cloud_scout.py combine-attack-paths \
    --input-dir "$OUTPUT_DIR" \
    --output "$OUTPUT_DIR/combined-attack-paths.json"

# Generate interactive visualization
python cloud_scout.py visualize-attack-paths \
    --input "$OUTPUT_DIR/combined-attack-paths.json" \
    --output "$OUTPUT_DIR/attack-paths-visualization.html" \
    --interactive \
    --color-by-risk \
    --include-filters

# Generate detailed report
python cloud_scout.py generate-attack-path-report \
    --input "$OUTPUT_DIR/combined-attack-paths.json" \
    --template detailed \
    --output "$OUTPUT_DIR/attack-path-report.html" \
    --include-remediation \
    --include-mitre-mapping

# Generate executive summary
python cloud_scout.py generate-executive-summary \
    --input "$OUTPUT_DIR/combined-attack-paths.json" \
    --output "$OUTPUT_DIR/executive-summary.html" \
    --focus-high-risk

# Export to MITRE ATT&CK; format
python cloud_scout.py export-mitre-attack \
    --input "$OUTPUT_DIR/combined-attack-paths.json" \
    --output "$OUTPUT_DIR/mitre-attack-mapping.json"

\\}

Function to prioritize remediation

prioritize_remediation() \\{ echo "[+] Prioritizing remediation actions"

python cloud_scout.py prioritize-remediation \
    --input "$OUTPUT_DIR/combined-attack-paths.json" \
    --risk-threshold 8 \
    --business-impact-weights config/business-impact.yaml \
    --output "$OUTPUT_DIR/remediation-priorities.json"

# Generate remediation roadmap
python cloud_scout.py generate-remediation-roadmap \
    --input "$OUTPUT_DIR/remediation-priorities.json" \
    --timeline 90 \
    --resource-constraints config/resource-constraints.yaml \
    --output "$OUTPUT_DIR/remediation-roadmap.html"

\\}

Main execution

echo "[+] Starting multi-cloud attack path discovery" echo "[+] Target environment: $TARGET_ENVIRONMENT" echo "[+] Attack scenario: $ATTACK_SCENARIO"

Check dependencies

| if ! command -v python &> /dev/null | | ! python -c "import cloud_scout" 2>/dev/null; then | echo "[-] Cloud Scout not found or not properly installed" exit 1 fi

Discover attack paths based on scenario

case "$ATTACK_SCENARIO" in "privilege-escalation") discover_attack_paths "$TARGET_ENVIRONMENT" "privilege-escalation" analyze_privilege_escalation ;; "lateral-movement") discover_attack_paths "$TARGET_ENVIRONMENT" "lateral-movement" analyze_lateral_movement ;; "data-exfiltration") discover_attack_paths "$TARGET_ENVIRONMENT" "data-exfiltration" analyze_data_exfiltration ;; "persistence") discover_attack_paths "$TARGET_ENVIRONMENT" "persistence" ;; "all") discover_attack_paths "$TARGET_ENVIRONMENT" "privilege-escalation" discover_attack_paths "$TARGET_ENVIRONMENT" "lateral-movement" discover_attack_paths "$TARGET_ENVIRONMENT" "data-exfiltration" discover_attack_paths "$TARGET_ENVIRONMENT" "persistence" analyze_privilege_escalation analyze_lateral_movement analyze_data_exfiltration ;; *) echo "[-] Unknown attack scenario: $ATTACK_SCENARIO" exit 1 ;; esac

Generate reports and prioritize remediation

generate_attack_path_report prioritize_remediation

echo "[+] Multi-cloud attack path discovery completed" echo "[+] Results saved in: $OUTPUT_DIR" echo "[+] Open $OUTPUT_DIR/attack-paths-visualization.html for interactive analysis" ```_

kontinuierliche Überwachung der Cloud-Sicherheit

```bash

!/bin/bash

Continuous cloud security monitoring with Cloud Scout

MONITORING_CONFIG="config/monitoring.yaml" LOG_DIR="monitoring_logs" ALERT_WEBHOOK="$1" CHECK_INTERVAL=3600 # 1 hour

if [ -z "$ALERT_WEBHOOK" ]; then echo "Usage: $0 " echo "Example: $0 'https://hooks.slack.com/services/...'" exit 1 fi

mkdir -p "$LOG_DIR"

Function to perform security monitoring scan

perform_monitoring_scan() \\{ local timestamp=$(date +%Y%m%d_%H%M%S) local scan_output="$LOG_DIR/scan_$timestamp.json" local baseline_file="$LOG_DIR/baseline.json"

echo "[+] Performing security monitoring scan at $(date)"

# Perform comprehensive scan
python cloud_scout.py monitor-scan \
    --config "$MONITORING_CONFIG" \
    --output "$scan_output" \
    --include-all-providers \
    --deep-scan

if [ $? -ne 0 ]; then
    echo "[-] Monitoring scan failed"
    return 1
fi

# Compare with baseline if it exists
if [ -f "$baseline_file" ]; then
    echo "  [+] Comparing with baseline"

    local changes_file="$LOG_DIR/changes_$timestamp.json"
    python cloud_scout.py compare-scans \
        --baseline "$baseline_file" \
        --current "$scan_output" \
        --output "$changes_file"

    # Analyze changes for security implications
    analyze_security_changes "$changes_file" "$timestamp"
else
    echo "  [+] Creating initial baseline"
    cp "$scan_output" "$baseline_file"
fi

# Update baseline if significant time has passed

| local baseline_age=$(stat -c %Y "$baseline_file" 2>/dev/null | | echo 0) | local current_time=$(date +%s) local age_hours=$(( (current_time - baseline_age) / 3600 ))

if [ $age_hours -gt 168 ]; then  # 1 week
    echo "  [+] Updating baseline (age: $\\\\{age_hours\\\\} hours)"
    cp "$scan_output" "$baseline_file"
fi

return 0

\\}

Function to analyze security changes

analyze_security_changes() \\{ local changes_file="$1" local timestamp="$2" local analysis_file="$LOG_DIR/analysis_$timestamp.json"

echo "  [+] Analyzing security changes"

# Perform security impact analysis
python cloud_scout.py analyze-security-changes \
    --input "$changes_file" \
    --risk-assessment \
    --attack-path-impact \
    --output "$analysis_file"

# Check for high-risk changes
local high_risk_count=$(python cloud_scout.py count-high-risk-changes \
    --input "$analysis_file" \
    --threshold 8)

if [ "$high_risk_count" -gt 0 ]; then
    echo "  [!] High-risk changes detected: $high_risk_count"
    send_security_alert "HIGH_RISK_CHANGES" "$high_risk_count" "$analysis_file"
fi

# Check for new attack paths
local new_attack_paths=$(python cloud_scout.py detect-new-attack-paths \
    --input "$analysis_file" \
    --output "$LOG_DIR/new_attack_paths_$timestamp.json")

if [ "$new_attack_paths" -gt 0 ]; then
    echo "  [!] New attack paths detected: $new_attack_paths"
    send_security_alert "NEW_ATTACK_PATHS" "$new_attack_paths" "$LOG_DIR/new_attack_paths_$timestamp.json"
fi

# Check for compliance violations
local compliance_violations=$(python cloud_scout.py check-compliance-violations \
    --input "$analysis_file" \
    --frameworks cis,nist \
    --output "$LOG_DIR/compliance_violations_$timestamp.json")

if [ "$compliance_violations" -gt 0 ]; then
    echo "  [!] Compliance violations detected: $compliance_violations"
    send_security_alert "COMPLIANCE_VIOLATIONS" "$compliance_violations" "$LOG_DIR/compliance_violations_$timestamp.json"
fi

\\}

Function to send security alerts

send_security_alert() \\{ local alert_type="$1" local count="$2" local details_file="$3"

echo "[!] Sending security alert: $alert_type"

# Create alert message
local message="🚨 Cloud Security Alert: $alert_type detected ($count items) at $(date)"

# Send to webhook
if [ -n "$ALERT_WEBHOOK" ]; then
    curl -X POST -H 'Content-type: application/json' \
        --data "\\\\{\"text\":\"$message\"\\\\}" \

| "$ALERT_WEBHOOK" 2>/dev/null | | echo "Webhook alert failed" | fi

# Send email if configured
if [ -n "$ALERT_EMAIL" ]; then
    echo "$message"|mail -s "Cloud Security Alert: $alert_type" \

| -A "$details_file" "$ALERT_EMAIL" 2>/dev/null | | echo "Email alert failed" | fi

# Log alert
echo "$(date): $alert_type - $count items" >> "$LOG_DIR/alerts.log"

\\}

Function to generate monitoring report

generate_monitoring_report() \\{ echo "[+] Generating monitoring report"

local report_file="$LOG_DIR/monitoring_report_$(date +%Y%m%d).html"

# Collect recent scan data
python cloud_scout.py generate-monitoring-report \
    --input-dir "$LOG_DIR" \
    --timeframe 24h \
    --output "$report_file" \
    --include-trends \
    --include-alerts

echo "  [+] Monitoring report generated: $report_file"

\\}

Function to cleanup old logs

cleanup_logs() \\{ echo "[+] Cleaning up old monitoring logs"

# Keep logs for 30 days
find "$LOG_DIR" -name "scan_*.json" -mtime +30 -delete
find "$LOG_DIR" -name "changes_*.json" -mtime +30 -delete
find "$LOG_DIR" -name "analysis_*.json" -mtime +30 -delete

# Keep reports for 90 days
find "$LOG_DIR" -name "monitoring_report_*.html" -mtime +90 -delete

\\}

Function to check system health

check_system_health() \\{ echo "[+] Checking system health"

# Check Cloud Scout installation
if ! python -c "import cloud_scout" 2>/dev/null; then
    echo "[-] Cloud Scout not available"
    send_security_alert "SYSTEM_ERROR" "1" "/dev/null"
    return 1
fi

# Check cloud provider connectivity
local connectivity_issues=0

if ! python cloud_scout.py test-aws-connectivity 2>/dev/null; then
    echo "[-] AWS connectivity issues"
    connectivity_issues=$((connectivity_issues + 1))
fi

if ! python cloud_scout.py test-azure-connectivity 2>/dev/null; then
    echo "[-] Azure connectivity issues"
    connectivity_issues=$((connectivity_issues + 1))
fi

if ! python cloud_scout.py test-gcp-connectivity 2>/dev/null; then
    echo "[-] GCP connectivity issues"
    connectivity_issues=$((connectivity_issues + 1))
fi

if [ $connectivity_issues -gt 0 ]; then
    send_security_alert "CONNECTIVITY_ISSUES" "$connectivity_issues" "/dev/null"
fi

# Check disk space

| local disk_usage=$(df "$LOG_DIR" | awk 'NR==2 \\{print $5\\}' | sed 's/%//') | if [ "$disk_usage" -gt 90 ]; then echo "[-] Disk space critical: $\\{disk_usage\\}%" send_security_alert "DISK_SPACE_CRITICAL" "$disk_usage" "/dev/null" fi

return 0

\\}

Main monitoring loop

echo "[+] Starting continuous cloud security monitoring" echo "[+] Check interval: $((CHECK_INTERVAL / 60)) minutes" echo "[+] Alert webhook: $ALERT_WEBHOOK"

while true; do echo "[+] Starting monitoring cycle at $(date)"

# Check system health
if check_system_health; then
    # Perform monitoring scan
    if perform_monitoring_scan; then
        echo "  [+] Monitoring scan completed successfully"
    else
        echo "  [-] Monitoring scan failed"
        send_security_alert "SCAN_FAILURE" "1" "/dev/null"
    fi
fi

# Generate daily report and cleanup
if [ "$(date +%H)" = "06" ]; then  # 6 AM
    generate_monitoring_report
    cleanup_logs
fi

echo "[+] Monitoring cycle completed at $(date)"
echo "[+] Next check in $((CHECK_INTERVAL / 60)) minutes"

sleep "$CHECK_INTERVAL"

done ```_

Integration mit anderen Tools

SIEM Integration

```bash

Export Cloud Scout data to SIEM formats

python cloud_scout.py export-siem \ --format splunk \ --input scan-results.json \ --output cloud-scout-events.json

Send alerts to SIEM

python cloud_scout.py send-siem-alert \ --siem-endpoint https://siem.company.com/api \ --alert-data high-risk-findings.json ```_

Integration von Terrain

```bash

Generate Terraform remediation code

python cloud_scout.py generate-terraform \ --input security-findings.json \ --output remediation.tf

Validate Terraform against Cloud Scout policies

python cloud_scout.py validate-terraform \ --terraform-dir ./infrastructure \ --policies config/security-policies.yaml ```_

CI/CD Pipeline Integration

```bash

Cloud Scout in CI/CD pipeline

python cloud_scout.py pipeline-scan \ --config config/pipeline.yaml \ --fail-on-high-risk \ --output pipeline-results.json

Generate security gates

python cloud_scout.py generate-security-gates \ --input pipeline-results.json \ --output security-gates.yaml ```_

Fehlerbehebung

Gemeinsame Themen

Authentication Probleme

```bash

Check AWS credentials

aws sts get-caller-identity

Check Azure authentication

az account show

Check GCP authentication

gcloud auth list

Test Cloud Scout authentication

python cloud_scout.py test-auth --all-providers ```_

Leistungsfragen

```bash

Optimize scan performance

python cloud_scout.py optimize-scan \ --max-threads 20 \ --batch-size 100 \ --timeout 300

Monitor resource usage

python cloud_scout.py monitor-resources \ --output resource-usage.log ```_

Probleme der Datenerhebung

```bash

Debug data collection

python cloud_scout.py debug-collection \ --provider aws \ --region us-east-1 \ --verbose

Validate collected data

python cloud_scout.py validate-data \ --input scan-results.json \ --output validation-report.json ```_

Ressourcen

Cloud Scout GitHub Repository
(__LINK_7___)
(__LINK_7___)
AWS Sicherheitsdokumentation
(__LINK_7___)
GCP-Sicherheitsdokumentation
[MITRE ATT&CK; Cloud Matrix](__LINK_7___

--

*Dieses Betrügereiblatt bietet eine umfassende Referenz für die Verwendung von Cloud Scout zur Cloud-Sicherheits-Mapping und Angriffspfad-Visualisierung. Stellen Sie immer sicher, dass Sie eine ordnungsgemäße Autorisierung vor dem Scannen von Cloud-Umgebungen haben. *

Cloud Scout Cheat Sheet

Überblick

Installation und Inbetriebnahme

Voraussetzungen

Install Python 3.8 or higher

Install pip and virtualenv

Install Node.js for web interface

Install Docker for containerized deployment

Installation von Source

Clone Cloud Scout repository

Create virtual environment

Install dependencies

Install additional dependencies for cloud providers

Verify installation

Docker Installation

Pull Cloud Scout Docker image

Run Cloud Scout in Docker

Create Docker Compose setup

Start with Docker Compose

Cloud Provider Setup

AWS Konfiguration

Install AWS CLI

Configure AWS credentials

Enter Access Key ID, Secret Access Key, Region, Output format

Create IAM policy for Cloud Scout

Create IAM user and attach policy

Azure Konfiguration

Install Azure CLI

Login to Azure

Create service principal for Cloud Scout

Grant additional permissions

Set environment variables

Google Cloud Platform Konfiguration

Install Google Cloud SDK

Initialize gcloud

Create service account

Grant necessary roles

Create and download service account key

Set environment variable

Konfiguration

Grundkonfiguration

config/config.yaml

Erweiterte Konfiguration

config/advanced-config.yaml

Basisnutzung

Initial Cloud Mapping

Basic cloud mapping across all configured providers

Map specific cloud provider

Map specific regions/subscriptions/projects

Map with specific resource types

Analyse von Pfaden

Analyze attack paths across all mapped resources

Analyze specific attack scenarios

Analyze with risk scoring

Generate attack path report

Sicherheitsbewertung

Comprehensive security assessment

Assess specific security domains

Compliance assessment

Custom security checks

Erweiterte Funktionen

Multi-Cloud-Umgebung Mapping

Map hybrid cloud environment

Cross-cloud relationship analysis

Multi-cloud attack path analysis

Erweiterte Visualisierung

Generate interactive visualization

Export to graph formats

Generate network diagrams

Kontinuierliche Überwachung

Set up continuous monitoring

Compare cloud states

Automated reporting

Automatisierungsskripte

Umfassende Cloud Security Assessment

!/bin/bash

Comprehensive cloud security assessment using Cloud Scout

Function to perform cloud mapping

Function to analyze attack paths

Function to perform security assessment