Penetration Testing

Table of Contents

• [Overview](#overview)

• [When to Use](#when-to-use)

• [Quick Start](#quick-start)

• [Reference Guides](#reference-guides)

• [Best Practices](#best-practices)

Overview

Systematic security testing to identify, exploit, and document vulnerabilities in applications, networks, and infrastructure through simulated attacks.

When to Use

• Pre-production security validation

• Annual security assessments

• Compliance requirements (PCI-DSS, ISO 27001)

• Post-incident security review

• Third-party security audits

• Red team exercises

Quick Start

Minimal working example:

# pentest_framework.py

import requests

import socket

import subprocess

import json

from typing import List, Dict

from dataclasses import dataclass, asdict

from datetime import datetime

@dataclass

class Finding:

    severity: str

    category: str

    target: str

    vulnerability: str

    evidence: str

    remediation: str

    cvss_score: float

class PenetrationTester:

    def __init__(self, target: str):

        self.target = target

        self.findings: List[Finding] = []

    def test_sql_injection(self, url: str) -> None:

// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide

Contents

Automated Penetration Testing Framework

Automated Penetration Testing Framework

Burp Suite Automation Script

Burp Suite Automation Script

Best Practices

✅ DO

• Get written authorization

• Define clear scope

• Use controlled environments

• Document all findings

• Follow responsible disclosure

• Provide remediation guidance

• Verify fixes after patching

• Maintain chain of custody

❌ DON'T

• Test production without approval

• Cause service disruption

• Exfiltrate sensitive data

• Share findings publicly

• Exceed authorized scope

• Use destructive payloads