Penetration Testing
Table of Contents
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