Documentation | Augment AI Platform

Installation

Deploy AI VulnScan to start identifying vulnerabilities and predicting attack vectors across your infrastructure.

System Requirements

Python 3.9 or higher
Docker 20.0+ (for containerized scanning)
Nmap 7.8+ (for network scanning)
Minimum 8GB RAM (16GB recommended for large networks)
Network access to target systems and threat intelligence feeds

Install via Package Manager

Installationbash

# Install via pip
pip install augment-vuln-scanner

# Install via Docker
docker pull augment/vuln-scanner:latest

# Install from source
git clone https://github.com/augment-ai/vuln-scanner
cd vuln-scanner
pip install -e .

# Install additional scanning tools
sudo apt-get install nmap nikto sqlmap

# Verify installation
vuln-scanner --version

Authentication and Setup

Configure API access and threat intelligence feeds:

Setupbash

# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here

# Configure threat intelligence feeds
vuln-scanner config --threat-feeds nvd,mitre,cve

# Set up vulnerability databases
vuln-scanner update --databases all

# Verify setup
vuln-scanner health-check

Quick Start

Run your first vulnerability scan and get AI-powered threat predictions in minutes.

1. Initialize Scan Profile

Profile Setupbash

# Create scanning profile
vuln-scanner init --profile production-scan

# Configure scan targets
vuln-scanner config --targets 192.168.1.0/24,10.0.0.0/16
vuln-scanner config --web-apps https://app.company.com

# Set scan intensity
vuln-scanner config --intensity comprehensive
vuln-scanner config --stealth-mode false

# This creates .vuln-scanner.yaml config file

2. Run Vulnerability Scan

Vulnerability Scanningbash

# Full network and application scan
vuln-scanner scan --type full

# Quick vulnerability assessment
vuln-scanner scan --type quick --critical-only

# Web application specific scan
vuln-scanner scan --type web-app --target https://app.company.com

# Infrastructure scan with threat prediction
vuln-scanner scan --type infrastructure --predict-threats

3. Generate Security Reports

Security Reportsbash

# Generate comprehensive vulnerability report
vuln-scanner report --format html --output vuln-report.html

# Export findings for SIEM integration
vuln-scanner report --format json --output findings.json

# Generate executive summary
vuln-scanner report --executive --format pdf --output executive-summary.pdf

# Create remediation playbook
vuln-scanner remediation --output remediation-plan.md

Configuration

Configure AI VulnScan to match your security assessment requirements and threat landscape.

Basic Configuration

.vuln-scanner.yamlyaml

version: "1.0"
organization: "your-company"
environment: "production"

scan_targets:
  networks:
    - "192.168.1.0/24"
    - "10.0.0.0/16"
  web_applications:
    - "https://app.company.com"
    - "https://api.company.com"
  cloud_assets:
    - provider: "aws"
      regions: ["us-east-1", "us-west-2"]

scan_settings:
  intensity: "comprehensive"
  stealth_mode: false
  max_concurrent: 10
  timeout: 3600
  exclude_ports: [22, 3389]

ai_settings:
  threat_prediction: true
  attack_vector_analysis: true
  zero_day_detection: true
  confidence_threshold: 0.8

vulnerability_databases:
  - nvd
  - mitre
  - exploit-db
  - custom_feeds

reporting:
  auto_generate: true
  formats: ["html", "json", "pdf"]
  remediation_priority: "exploitability"

Threat Intelligence

AI VulnScan integrates with multiple threat intelligence feeds to provide context-aware vulnerability assessment.

Active Threat Feeds

• National Vulnerability Database (NVD)
• MITRE ATT&CK Framework
• Exploit Database
• CVE Details
• Custom threat feeds

Threat Correlation

• Real-time exploit availability
• Attack campaign tracking
• Weaponization timeline
• Threat actor attribution
• Geopolitical context

Environment Variables

Configure AI VulnScan behavior using environment variables for different scanning scenarios.

Variable	Description	Default
AUGMENT_API_KEY	Your Augment API key	Required
VULN_SCANNER_CONFIG	Path to configuration file	.vuln-scanner.yaml
VULN_SCANNER_DB_PATH	Vulnerability database location	./vuln_db
VULN_SCANNER_THREADS	Maximum concurrent scan threads	10

Basic Usage

Learn the fundamental vulnerability scanning patterns and threat analysis workflows.

Scanning Commands

Vulnerability Scanningbash

# Network vulnerability scan
vuln-scanner scan --type network --target 192.168.1.0/24

# Web application security testing
vuln-scanner scan --type web --target https://app.example.com

# Database vulnerability assessment
vuln-scanner scan --type database --host db.example.com --port 5432

# Container image scanning
vuln-scanner scan --type container --image nginx:latest

CLI Commands Reference

Complete reference for all vulnerability scanning and analysis commands.

scan

Run comprehensive vulnerability scans with AI-powered threat analysis

vuln-scanner scan [options]

Options:
  --type <type>            Scan type (network|web|database|container|cloud)
  --target <target>        Target specification (IP, URL, hostname)
  --intensity <level>      Scan intensity (quick|normal|comprehensive|stealth)
  --output <file>          Output file path
  --format <format>        Output format (json|html|xml|csv)
  --predict-threats        Enable AI threat prediction
  --exclude <patterns>     Exclude patterns or hosts
  --include <patterns>     Include only specified patterns
  --timeout <seconds>      Scan timeout per target
  --threads <number>       Number of concurrent threads

analyze

Analyze scan results and predict attack vectors

vuln-scanner analyze [options]

Options:
  --scan-results <file>    Scan results file to analyze
  --threat-model <model>   Threat modeling approach
  --attack-vectors         Generate attack vector analysis
  --remediation-plan       Create prioritized remediation plan
  --risk-assessment        Calculate risk scores
  --exploit-prediction     Predict exploit likelihood

Best Practices

Vulnerability scanning best practices to maximize detection accuracy and minimize false positives.

Vulnerability Scanning Strategy

Schedule regular automated scans for continuous monitoring
Use stealth mode in production environments to avoid detection
Prioritize vulnerabilities by exploitability and business impact
Correlate findings with threat intelligence for context
Validate findings manually to reduce false positives
Track remediation progress and re-scan after fixes

Attack Vector Analysis

AI VulnScan provides advanced attack vector analysis to understand how vulnerabilities can be chained together.

Attack Chain Prediction

Attack Vector Analysisbash

# Generate attack chains for critical vulnerabilities
vuln-scanner attack-chains --severity critical --target-asset web-server

# Analyze lateral movement possibilities
vuln-scanner lateral-movement --start-point dmz --target internal-network

# Privilege escalation analysis
vuln-scanner privilege-escalation --user-context low-privilege

# Data exfiltration path analysis
vuln-scanner exfiltration-paths --data-classification sensitive

Initial Access

Identify entry points and initial compromise vectors

Lateral Movement

Map potential paths for network traversal

Privilege Escalation

Predict paths to elevated system access

Remediation Strategies

Get AI-powered remediation recommendations prioritized by risk and business impact.

Automated Remediation Planning

Remediation Planningbash

# Generate prioritized remediation plan
vuln-scanner remediation --input scan-results.json --priority risk-based

# Create patch management timeline
vuln-scanner patch-timeline --business-hours --maintenance-windows

# Generate compliance remediation report
vuln-scanner compliance-remediation --standard pci-dss --timeline 90-days

# Export remediation tickets for project management
vuln-scanner export-tickets --format jira --assignee security-team

API Integration

Integrate AI VulnScan into your security operations and vulnerability management workflows.

REST API

API Usagebash

# Trigger vulnerability scan via API
curl -X POST https://api.augment.cfd/v1/vulnerability/scan \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "scan_type": "web_application",
    "target": "https://app.example.com",
    "intensity": "comprehensive",
    "threat_prediction": true
  }'

Python SDK

Python Integrationpython

from augment_vuln_scanner import VulnerabilityScanner

# Initialize vulnerability scanner
scanner = VulnerabilityScanner(api_key=os.environ['AUGMENT_API_KEY'])

# Run comprehensive scan
scan_result = await scanner.scan_network(
    target='192.168.1.0/24',
    intensity='comprehensive',
    predict_threats=True
)

# Get critical vulnerabilities
critical_vulns = scan_result.get_vulnerabilities(severity='critical')
print(f"Found {len(critical_vulns)} critical vulnerabilities")

# Generate attack vector analysis
attack_vectors = await scanner.analyze_attack_vectors(
    vulnerabilities=critical_vulns,
    target_assets=['web-server', 'database']
)

# Create remediation plan
remediation_plan = await scanner.create_remediation_plan(
    vulnerabilities=critical_vulns,
    priority='exploitability',
    timeline=90
)

API Reference

Complete API documentation for integrating vulnerability scanning into your security tools.

Vulnerability Scan Endpoint

POST /v1/vulnerability/scan

Initiate a comprehensive vulnerability scan with AI threat prediction.

Request Body:

{
  "scan_type": "network|web_application|database|container|cloud",
  "target": "192.168.1.0/24|https://app.example.com",
  "intensity": "quick|normal|comprehensive|stealth",
  "options": {
    "threat_prediction": true,
    "attack_vector_analysis": true,
    "zero_day_detection": true,
    "stealth_mode": false
  },
  "scope": {
    "include_ports": [80, 443, 22],
    "exclude_hosts": ["192.168.1.100"],
    "max_depth": 3
  },
  "ai_settings": {
    "confidence_threshold": 0.8,
    "threat_feeds": ["nvd", "mitre", "exploit-db"]
  }
}

Response:

{
  "scan_id": "scan-789012",
  "status": "completed",
  "summary": {
    "total_hosts": 156,
    "vulnerabilities_found": 89,
    "critical_count": 12,
    "high_count": 34,
    "medium_count": 43
  },
  "threat_analysis": {
    "exploit_prediction": {
      "immediate_risk": 8,
      "weaponization_likely": 15,
      "active_exploits": 3
    },
    "attack_vectors": [
      {
        "vector_id": "av-001",
        "severity": "critical",
        "attack_chain": ["CVE-2024-1234", "CVE-2024-5678"],
        "target_assets": ["web-server", "database"],
        "likelihood": 0.92
      }
    ]
  },
  "vulnerabilities": [
    {
      "id": "vuln-001",
      "cve_id": "CVE-2024-1234",
      "severity": "critical",
      "cvss_score": 9.8,
      "title": "Remote Code Execution in Web Framework",
      "affected_hosts": ["192.168.1.10", "192.168.1.20"],
      "exploit_available": true,
      "threat_intel": {
        "active_campaigns": 2,
        "exploit_difficulty": "low",
        "weaponization_date": "2024-09-10"
      },
      "remediation": {
        "priority": "immediate",
        "steps": ["Update framework to version 2.1.5", "Apply security patch"],
        "estimated_effort": "2 hours"
      }
    }
  ]
}

Troubleshooting

Common issues and solutions when running vulnerability scans and threat analysis.

Common Issues

Scan Blocked by Firewall

Error: Connection timeout or refused during scan

Solutions:

Check firewall rules and scanning permissions
Use stealth mode to avoid intrusion detection
Scan from internal networks when possible
Coordinate with network team for scan windows

High False Positive Rate

Too many false positive vulnerability findings

Solutions:

Adjust AI confidence threshold settings
Enable manual validation for critical findings
Use asset-specific scanning profiles
Update vulnerability databases regularly

Slow Scan Performance

Vulnerability scans taking too long to complete

Solutions:

Increase thread count for parallel scanning
Use targeted scans instead of comprehensive
Optimize network connectivity and bandwidth
Schedule scans during off-peak hours

Vulnerability Scanning Documentation Complete!

You now have comprehensive knowledge to implement AI VulnScan in your security operations. From basic vulnerability detection to advanced threat prediction, you're equipped to proactively identify and remediate security risks with AI-powered intelligence.

Ready to enhance your vulnerability management? Start your free security assessment today and discover how AI can predict and prevent cyber attacks before they happen.

Installation

Deploy AI VulnScan to start identifying vulnerabilities and predicting attack vectors across your infrastructure.

System Requirements

Python 3.9 or higher
Docker 20.0+ (for containerized scanning)
Nmap 7.8+ (for network scanning)
Minimum 8GB RAM (16GB recommended for large networks)
Network access to target systems and threat intelligence feeds

Install via Package Manager

Installationbash

# Install via pip
pip install augment-vuln-scanner

# Install via Docker
docker pull augment/vuln-scanner:latest

# Install from source
git clone https://github.com/augment-ai/vuln-scanner
cd vuln-scanner
pip install -e .

# Install additional scanning tools
sudo apt-get install nmap nikto sqlmap

# Verify installation
vuln-scanner --version

Authentication and Setup

Configure API access and threat intelligence feeds:

Setupbash

# Set Augment API key
export AUGMENT_API_KEY=your_api_key_here

# Configure threat intelligence feeds
vuln-scanner config --threat-feeds nvd,mitre,cve

# Set up vulnerability databases
vuln-scanner update --databases all

# Verify setup
vuln-scanner health-check

Quick Start

Run your first vulnerability scan and get AI-powered threat predictions in minutes.

1. Initialize Scan Profile

Profile Setupbash

# Create scanning profile
vuln-scanner init --profile production-scan

# Configure scan targets
vuln-scanner config --targets 192.168.1.0/24,10.0.0.0/16
vuln-scanner config --web-apps https://app.company.com

# Set scan intensity
vuln-scanner config --intensity comprehensive
vuln-scanner config --stealth-mode false

# This creates .vuln-scanner.yaml config file

2. Run Vulnerability Scan

Vulnerability Scanningbash

# Full network and application scan
vuln-scanner scan --type full

# Quick vulnerability assessment
vuln-scanner scan --type quick --critical-only

# Web application specific scan
vuln-scanner scan --type web-app --target https://app.company.com

# Infrastructure scan with threat prediction
vuln-scanner scan --type infrastructure --predict-threats

3. Generate Security Reports

Security Reportsbash

# Generate comprehensive vulnerability report
vuln-scanner report --format html --output vuln-report.html

# Export findings for SIEM integration
vuln-scanner report --format json --output findings.json

# Generate executive summary
vuln-scanner report --executive --format pdf --output executive-summary.pdf

# Create remediation playbook
vuln-scanner remediation --output remediation-plan.md

Configuration

Configure AI VulnScan to match your security assessment requirements and threat landscape.

Basic Configuration

.vuln-scanner.yamlyaml

version: "1.0"
organization: "your-company"
environment: "production"

scan_targets:
  networks:
    - "192.168.1.0/24"
    - "10.0.0.0/16"
  web_applications:
    - "https://app.company.com"
    - "https://api.company.com"
  cloud_assets:
    - provider: "aws"
      regions: ["us-east-1", "us-west-2"]

scan_settings:
  intensity: "comprehensive"
  stealth_mode: false
  max_concurrent: 10
  timeout: 3600
  exclude_ports: [22, 3389]

ai_settings:
  threat_prediction: true
  attack_vector_analysis: true
  zero_day_detection: true
  confidence_threshold: 0.8

vulnerability_databases:
  - nvd
  - mitre
  - exploit-db
  - custom_feeds

reporting:
  auto_generate: true
  formats: ["html", "json", "pdf"]
  remediation_priority: "exploitability"

Threat Intelligence

AI VulnScan integrates with multiple threat intelligence feeds to provide context-aware vulnerability assessment.

Active Threat Feeds

• National Vulnerability Database (NVD)
• MITRE ATT&CK Framework
• Exploit Database
• CVE Details
• Custom threat feeds

Threat Correlation

• Real-time exploit availability
• Attack campaign tracking
• Weaponization timeline
• Threat actor attribution
• Geopolitical context

Environment Variables

Configure AI VulnScan behavior using environment variables for different scanning scenarios.

Variable	Description	Default
AUGMENT_API_KEY	Your Augment API key	Required
VULN_SCANNER_CONFIG	Path to configuration file	.vuln-scanner.yaml
VULN_SCANNER_DB_PATH	Vulnerability database location	./vuln_db
VULN_SCANNER_THREADS	Maximum concurrent scan threads	10

Basic Usage

Learn the fundamental vulnerability scanning patterns and threat analysis workflows.

Scanning Commands

Vulnerability Scanningbash

# Network vulnerability scan
vuln-scanner scan --type network --target 192.168.1.0/24

# Web application security testing
vuln-scanner scan --type web --target https://app.example.com

# Database vulnerability assessment
vuln-scanner scan --type database --host db.example.com --port 5432

# Container image scanning
vuln-scanner scan --type container --image nginx:latest

CLI Commands Reference

Complete reference for all vulnerability scanning and analysis commands.

scan

Run comprehensive vulnerability scans with AI-powered threat analysis

vuln-scanner scan [options]

Options:
  --type <type>            Scan type (network|web|database|container|cloud)
  --target <target>        Target specification (IP, URL, hostname)
  --intensity <level>      Scan intensity (quick|normal|comprehensive|stealth)
  --output <file>          Output file path
  --format <format>        Output format (json|html|xml|csv)
  --predict-threats        Enable AI threat prediction
  --exclude <patterns>     Exclude patterns or hosts
  --include <patterns>     Include only specified patterns
  --timeout <seconds>      Scan timeout per target
  --threads <number>       Number of concurrent threads

analyze

Analyze scan results and predict attack vectors

vuln-scanner analyze [options]

Options:
  --scan-results <file>    Scan results file to analyze
  --threat-model <model>   Threat modeling approach
  --attack-vectors         Generate attack vector analysis
  --remediation-plan       Create prioritized remediation plan
  --risk-assessment        Calculate risk scores
  --exploit-prediction     Predict exploit likelihood

Best Practices

Vulnerability scanning best practices to maximize detection accuracy and minimize false positives.

Vulnerability Scanning Strategy

Schedule regular automated scans for continuous monitoring
Use stealth mode in production environments to avoid detection
Prioritize vulnerabilities by exploitability and business impact
Correlate findings with threat intelligence for context
Validate findings manually to reduce false positives
Track remediation progress and re-scan after fixes

Attack Vector Analysis

AI VulnScan provides advanced attack vector analysis to understand how vulnerabilities can be chained together.

Attack Chain Prediction

Attack Vector Analysisbash

# Generate attack chains for critical vulnerabilities
vuln-scanner attack-chains --severity critical --target-asset web-server

# Analyze lateral movement possibilities
vuln-scanner lateral-movement --start-point dmz --target internal-network

# Privilege escalation analysis
vuln-scanner privilege-escalation --user-context low-privilege

# Data exfiltration path analysis
vuln-scanner exfiltration-paths --data-classification sensitive

Initial Access

Identify entry points and initial compromise vectors

Lateral Movement

Map potential paths for network traversal

Privilege Escalation

Predict paths to elevated system access

Remediation Strategies

Get AI-powered remediation recommendations prioritized by risk and business impact.

Automated Remediation Planning

Remediation Planningbash

# Generate prioritized remediation plan
vuln-scanner remediation --input scan-results.json --priority risk-based

# Create patch management timeline
vuln-scanner patch-timeline --business-hours --maintenance-windows

# Generate compliance remediation report
vuln-scanner compliance-remediation --standard pci-dss --timeline 90-days

# Export remediation tickets for project management
vuln-scanner export-tickets --format jira --assignee security-team

API Integration

Integrate AI VulnScan into your security operations and vulnerability management workflows.

REST API

API Usagebash

# Trigger vulnerability scan via API
curl -X POST https://api.augment.cfd/v1/vulnerability/scan \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "scan_type": "web_application",
    "target": "https://app.example.com",
    "intensity": "comprehensive",
    "threat_prediction": true
  }'

Python SDK

Python Integrationpython

from augment_vuln_scanner import VulnerabilityScanner

# Initialize vulnerability scanner
scanner = VulnerabilityScanner(api_key=os.environ['AUGMENT_API_KEY'])

# Run comprehensive scan
scan_result = await scanner.scan_network(
    target='192.168.1.0/24',
    intensity='comprehensive',
    predict_threats=True
)

# Get critical vulnerabilities
critical_vulns = scan_result.get_vulnerabilities(severity='critical')
print(f"Found {len(critical_vulns)} critical vulnerabilities")

# Generate attack vector analysis
attack_vectors = await scanner.analyze_attack_vectors(
    vulnerabilities=critical_vulns,
    target_assets=['web-server', 'database']
)

# Create remediation plan
remediation_plan = await scanner.create_remediation_plan(
    vulnerabilities=critical_vulns,
    priority='exploitability',
    timeline=90
)

API Reference

Complete API documentation for integrating vulnerability scanning into your security tools.

Vulnerability Scan Endpoint

POST /v1/vulnerability/scan

Initiate a comprehensive vulnerability scan with AI threat prediction.

Request Body:

{
  "scan_type": "network|web_application|database|container|cloud",
  "target": "192.168.1.0/24|https://app.example.com",
  "intensity": "quick|normal|comprehensive|stealth",
  "options": {
    "threat_prediction": true,
    "attack_vector_analysis": true,
    "zero_day_detection": true,
    "stealth_mode": false
  },
  "scope": {
    "include_ports": [80, 443, 22],
    "exclude_hosts": ["192.168.1.100"],
    "max_depth": 3
  },
  "ai_settings": {
    "confidence_threshold": 0.8,
    "threat_feeds": ["nvd", "mitre", "exploit-db"]
  }
}

Response:

{
  "scan_id": "scan-789012",
  "status": "completed",
  "summary": {
    "total_hosts": 156,
    "vulnerabilities_found": 89,
    "critical_count": 12,
    "high_count": 34,
    "medium_count": 43
  },
  "threat_analysis": {
    "exploit_prediction": {
      "immediate_risk": 8,
      "weaponization_likely": 15,
      "active_exploits": 3
    },
    "attack_vectors": [
      {
        "vector_id": "av-001",
        "severity": "critical",
        "attack_chain": ["CVE-2024-1234", "CVE-2024-5678"],
        "target_assets": ["web-server", "database"],
        "likelihood": 0.92
      }
    ]
  },
  "vulnerabilities": [
    {
      "id": "vuln-001",
      "cve_id": "CVE-2024-1234",
      "severity": "critical",
      "cvss_score": 9.8,
      "title": "Remote Code Execution in Web Framework",
      "affected_hosts": ["192.168.1.10", "192.168.1.20"],
      "exploit_available": true,
      "threat_intel": {
        "active_campaigns": 2,
        "exploit_difficulty": "low",
        "weaponization_date": "2024-09-10"
      },
      "remediation": {
        "priority": "immediate",
        "steps": ["Update framework to version 2.1.5", "Apply security patch"],
        "estimated_effort": "2 hours"
      }
    }
  ]
}

Troubleshooting

Common issues and solutions when running vulnerability scans and threat analysis.

Common Issues

Scan Blocked by Firewall

Error: Connection timeout or refused during scan

Solutions:

Check firewall rules and scanning permissions
Use stealth mode to avoid intrusion detection
Scan from internal networks when possible
Coordinate with network team for scan windows

High False Positive Rate

Too many false positive vulnerability findings

Solutions:

Adjust AI confidence threshold settings
Enable manual validation for critical findings
Use asset-specific scanning profiles
Update vulnerability databases regularly

Slow Scan Performance

Vulnerability scans taking too long to complete

Solutions:

Increase thread count for parallel scanning
Use targeted scans instead of comprehensive
Optimize network connectivity and bandwidth
Schedule scans during off-peak hours

Vulnerability Scanning Documentation Complete!

Ready to enhance your vulnerability management? Start your free security assessment today and discover how AI can predict and prevent cyber attacks before they happen.

AI VulnScan

AI-Enhanced Scanning

Threat Vector Prediction

Zero-Day Detection

Automated Remediation

Installation

System Requirements

Install via Package Manager

Authentication and Setup

Quick Start

1. Initialize Scan Profile

2. Run Vulnerability Scan

3. Generate Security Reports

Configuration

Basic Configuration

Threat Intelligence

Active Threat Feeds

Threat Correlation

Environment Variables

Basic Usage

Scanning Commands

CLI Commands Reference

scan

analyze

Best Practices

Vulnerability Scanning Strategy

Attack Vector Analysis

Attack Chain Prediction

Initial Access

Lateral Movement

Privilege Escalation

Remediation Strategies

Automated Remediation Planning

API Integration

REST API

Python SDK

API Reference

Vulnerability Scan Endpoint

POST /v1/vulnerability/scan

Request Body:

Response:

Troubleshooting

Common Issues

Scan Blocked by Firewall

High False Positive Rate

Slow Scan Performance

Vulnerability Scanning Documentation Complete!

AI VulnScan

AI-Enhanced Scanning

Threat Vector Prediction

Zero-Day Detection

Automated Remediation

Installation

System Requirements

Install via Package Manager

Authentication and Setup

Quick Start

1. Initialize Scan Profile

2. Run Vulnerability Scan

3. Generate Security Reports

Configuration

Basic Configuration

Threat Intelligence

Active Threat Feeds

Threat Correlation

Environment Variables

Basic Usage

Scanning Commands

CLI Commands Reference

scan

analyze

Best Practices

Vulnerability Scanning Strategy

Attack Vector Analysis

Attack Chain Prediction

Initial Access

Lateral Movement

Privilege Escalation

Remediation Strategies

Automated Remediation Planning