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Penetration Testing Using Python

10 Weeks
All levels
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Penetration testing (pen testing) simulates cyberattacks to find vulnerabilities before malicious actors exploit them. Python, a popular and easy-to-learn programming language, is increasingly used in pen testing due to its versatility, automation capabilities, and vast ecosystem of security libraries. By using Python, testers can automate tasks, leverage pre-built tools, and even create custom scripts, saving time and effort. Common applications include network scanning, vulnerability scanning, exploit development, password cracking, and post-exploitation activities.

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  • Python Fundamentals:
    • Programming basics (variables, data types, control flow, functions, object-oriented programming)
    • Security libraries (requests, scapy, beautifulsoup4)
  • Network Security Fundamentals:
    • Network protocols (TCP/IP, ports, communication)
    • Enumeration techniques (discovering devices, services, user information)
  • Vulnerability Assessment and Exploitation:
    • Common vulnerabilities (SQL injection, XSS)
    • Exploit development (principles, using libraries like scapy)
  • Password Cracking:
    • Hashing algorithms and password storage
    • Python tools (Hashcat, John the Ripper)
  • Post-Exploitation and Reporting:
    • Maintaining access on compromised systems
    • Lateral movement within a network
    • Structured reporting of findings and recommendations
  • Ethical Considerations and Legal Aspects:
    • Responsible disclosure and reporting vulnerabilities
    • Understanding relevant laws and regulations
  • Programming Fundamentals:
    • Variables, data types, operators, control flow, functions
    • Familiarity with any programming language (optional, but beneficial)
  • Networking Fundamentals:
    • Network terminology and protocols (IP addressing, TCP/IP, common protocols)
    • Basic understanding of network security concepts (firewalls, IDS, vulnerabilities, exploits)
  • Python Programming Skills:
    • Comfort with Python syntax (variables, data structures, functions, modules, packages)
    • Ability to write basic Python scripts (file handling, network interaction, data manipulation)