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AutoPentestX is a complete, automated penetration testing toolkit that orchestrates multiple security tools and methodologies into a single, streamlined workflow. Built for educational purposes and authorized security assessments, it combines network reconnaissance, vulnerability detection, risk analysis, and exploitation simulation.

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What is AutoPentestX?

AutoPentestX is a Python-based CLI tool that automates the entire penetration testing lifecycle—from initial network scanning through final report generation. It integrates industry-standard tools (Nmap, Nikto, SQLMap, Metasploit) with custom risk assessment and exploitation engines.
AutoPentestX is designed for authorized testing only. Always obtain written permission before scanning any system you don’t own.

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Core Architecture

The tool is built around a modular architecture with eight specialized modules:

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Main Orchestrator

The AutoPentestX class in main.py:27 serves as the central orchestrator: 
class AutoPentestX:
    def __init__(self, target, tester_name="AutoPentestX Team", 
                 safe_mode=True, skip_web=False, skip_exploit=False):
        self.target = target
        self.safe_mode = safe_mode
        self.db = Database()
        # Initialize modules...

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Module Structure

1

Database Module

SQLite-based persistence layer storing all scan results, vulnerabilities, and exploits for historical analysis
2

Scanner Module

Nmap integration for comprehensive port scanning, service detection, OS fingerprinting, and banner grabbing
3

Vulnerability Scanner

Nikto and SQLMap integration for web vulnerability detection and SQL injection testing
4

CVE Lookup Module

Automated CVE database queries to identify known vulnerabilities in detected services
5

Risk Engine

CVSS-based risk scoring that calculates overall system risk from multiple vulnerability factors
6

Exploit Engine

Metasploit integration with safe-mode exploitation simulation (see exploit_engine.py:14)
7

PDF Report Generator

Professional report generation with executive summaries, findings, and remediation recommendations

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Key Features

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Automated Workflow

Single-command execution that runs all seven phases automatically: 
python main.py -t 192.168.1.100
No manual intervention required—the tool handles the entire assessment from start to finish.

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Safe Mode by Default

As implemented in exploit_engine.py:15, safe mode is enabled by default: 
class ExploitEngine:
    def __init__(self, safe_mode=True):
        self.safe_mode = safe_mode
This prevents destructive actions and ensures exploitation is simulated rather than executed.

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Comprehensive Data Storage

All results are stored in a SQLite database with five normalized tables:
  • scans - Scan metadata and timing
  • ports - Open port information
  • vulnerabilities - Detected vulnerabilities
  • web_vulnerabilities - Web-specific issues
  • exploits - Exploitation attempts

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Professional Reporting

Generates publication-ready PDF reports including:
  • Executive summary
  • Technical findings
  • Risk assessment
  • Exploitation results
  • Prioritized remediation steps

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Technical Stack

Core Language

Python 3.8+ with modern async/await patterns

Network Scanning

Nmap for port scanning and service detection

Web Testing

Nikto and SQLMap for web vulnerability assessment

Exploitation

Metasploit Framework integration (optional)

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Dependencies

# Core Python packages
python-nmap==0.7.1      # Nmap integration
requests>=2.31.0        # HTTP/API requests
reportlab>=4.0.4        # PDF generation
sqlparse>=0.4.4         # SQL parsing

# System tools
sudo apt install nmap nikto sqlmap metasploit-framework

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Design Philosophy

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Education First

AutoPentestX is designed as an educational tool that demonstrates penetration testing methodologies in a safe, controlled manner. Every run displays legal warnings and requires authorization confirmation.

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Safety by Design

Multiple safety mechanisms protect against accidental damage:
  • Safe mode enabled by default
  • Authorization prompts before execution
  • Non-destructive scanning techniques
  • Simulation-only exploitation
  • Comprehensive logging for audit trails

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Professional Output

Generated reports meet professional standards suitable for:
  • Academic projects and coursework
  • Security audit documentation
  • Client deliverables (authorized testing)
  • Bug bounty submissions
  • Red team exercises

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Performance Characteristics

Typical scan times:
  • Quick scan (ports only): 5-10 minutes
  • Standard scan (with web): 10-20 minutes
  • Full assessment: 20-30 minutes
Resource usage is moderate:
  • CPU: High during Nmap scanning phase
  • Memory: ~100-200 MB typical
  • Disk: ~50 MB for installation
  • Network: High traffic during active scanning

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Extensibility

The modular architecture allows easy extension: 
# Add new vulnerability checks
class CustomScanner:
    def scan(self, target):
        # Your custom logic
        return results

# Integrate into workflow
vuln_scanner.add_scanner(CustomScanner())

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Use Cases

Security Labs

Practice penetration testing in controlled VM environments

Security Audits

Authorized vulnerability assessments for clients

Bug Bounties

Reconnaissance for authorized bug bounty programs

CTF Competitions

Quick reconnaissance for capture-the-flag events

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What’s Next?

7-Phase Workflow

Learn about the complete assessment process

Safe Mode

Understand safe vs unsafe exploitation

Legal & Ethics

Critical legal requirements and ethical guidelines

Quick Start

Start using AutoPentestX in 5 minutes
Never use AutoPentestX on systems without explicit written authorization. Unauthorized access is illegal and can result in criminal prosecution.

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