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Learn Penetration Testing with Python

Learn how to turn Python into an ethical hacking tool and level up your cybersecurity expertise fast.

(PENTEST-PYTHON.AW2) / ISBN : 978-1-64459-737-8
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About This Course

In this Penetration Testing with Python course, dive into red teaming methodologies, Python scripting for ethical hacking, and real-world techniques. 

Learn how to crack passwords, brute-force services, scan networks, and exploit web vulnerabilities. Then take it further with wireless attacks, forensic analysis, and custom Burp Suite extensions.

From basic Python coding to advanced exploit development, you’ll get hands-on with fuzzing, network monitoring, and even AI-enhanced scripting using ChatGPT.

Skills You’ll Get

  • Python Scripting for Ethical Hacking: Write custom scripts for penetration testing, brute-force attacks, and exploit development.
  • Network Security & Attacks: Conduct port scanning, service identification, and network monitoring using Python and tools like Nmap/Scapy.
  • Web Application Exploitation: Extract hidden web data, bypass firewalls, and develop Burp Suite extensions for vulnerability assessments.
  • Wireless Penetration Testing: Perform Wi-Fi attacks (deauthentication, packet analysis) and crack wireless encryption.
  • Forensics & Fuzzing: Analyze file metadata, detect vulnerabilities via fuzzing, and create buffer overflow exploits.
  • AI-Assisted Hacking: Use ChatGPT to enhance Python scripts for faster, smarter security testing.
Download Course Outline

1

Preface

2

Starting with Penetration Testing and Basic Python

  • Introduction
  • Introducing penetration testing
  • Penetration testing types
  • Penetration testing tools
  • The basics of Python 3
  • Python variables
  • Statements in Python 3
  • Operators in Python 3
  • Functions in Python 3
  • Classes, self, and destructors in Python 3
  • Conclusion
  • Programming questions
3

Cracking with Python 3

  • Introduction
  • Types of crypto world
  • Types of credential attacks
  • Attacking passwords with Python
  • Conclusion
4

Service and Applications Brute Forcing with Python

  • Introduction
  • Services brute forcing
  • SMTP brute forcing
  • FTP brute force attack
  • SSH brute force attack
  • Web broken authentication
  • Conclusion
5

Python Services Identifications: Ports and Banner

  • Introduction
  • Deeper inside systems communication
  • Ethernet networks
  • Ethernet frames architecture
  • Wireless networks
  • IP packet architecture
  • TCP packet header
  • UDP packet header
  • TCP three-way handshake
  • Wireless four-way handshake
  • Services uncovered by Python
  • Socket library
  • Python port scanner
  • Python live host check
  • Python DNS
  • Conclusion
6

Python Network Modules and Nmap

  • Introduction
  • Python Nmap
  • Python network modules
  • Understanding Scapy
  • Network discovery with Scapy
  • Fuzz method
  • TCP SYN-ACK ping methods
  • ARP ping method
  • Scapy UDP ping
  • Scapy traceroute
  • Scapy port scanner
  • Create custom packet
  • ICMP packet header
  • Conclusion
7

Network Monitoring with Python

  • Introduction
  • Understanding network monitoring
  • Network monitoring and its importance
  • Understanding network tools
  • Security Operation Center
  • Network monitoring using socket library
  • Monitoring and analysis with SCAPY
  • Scapy HTTP monitoring
  • Scapy DNS monitoring
  • Conclusion
8

Attacking Wireless with Python

  • Introduction
  • 802.11 packet headers
  • Wireless frequency and channels
  • Wireless BSSID and SSID and ESSID
  • Wireless encryption family
  • Wireless SSID using Scapy
  • Deauthentication using Python
  • Conclusion
9

Analyze Web Applications with Python

  • Introduction
  • HTTP methods with Python
  • Python modules
  • Parsing URLs
  • Extracting cookies
  • Extracting images and documents
  • Images metadata
  • Hidden web directories
  • Conclusion
10

Attacking Web Applications with Python

  • Introduction
  • Information gathering with Shodan
  • Cross-site trace
  • Identifying web application firewalls
  • Cross-site scripting
  • Open redirect with Python
  • Bypassing web application firewalls
  • Encoding your payload
  • Business logic vulnerabilities
  • Conclusion
11

Exploit Development with Python

  • Introduction
  • Intel CPU architecture (x86)
  • General purpose registers
  • Special purpose registers
  • Segment registers
  • EFLAGS register
  • X64 registers
  • Windows memory structure
  • Big and little endian
  • Playing with the stack
  • Debugger tools
  • Immunity Debugger
  • Fuzzing
  • Basic buffer overflow
  • Removing bad characters
  • Building our exploit
  • Exploit development protections
  • Conclusion
12

Forensics with Python

  • Introduction
  • File analysis
  • File metadata
  • Analyzing PDF files
  • Analyzing TXT files
  • Data visualization
  • Network forensics
  • Conclusion
13

Python with Burp Suite

  • Introduction
  • Burp Suite features
  • Burp Suite extensions
  • Jython
  • Detecting misconfiguration
  • Cross-origin resource sharing
  • Sensitive data exposure
  • Default credentials or pages
  • Detecting vulnerabilities
  • Detecting cross-site scripting
  • Burp Suite Professional
  • OWASP Zed Attack Proxy
  • Conclusion
14

Fuzzing with Python

  • Introduction
  • Importance of fuzzing in security testing
  • Fundamentals of Python in fuzzing
  • Types of fuzzing techniques
  • Designing a basic fuzzer in Python
  • Advanced fuzzing concepts with Python
  • Fuzzing network protocols with Python
  • Creating fuzzers for executables
  • Famous tools used in fuzzing executables
  • Fuzzing Windows executables
  • Fuzzing Linux executables
  • Creating fuzzers for web applications
  • Challenges and limitations of fuzzing with Python
  • Conclusion
15

ChatGPT with Python

  • Introduction
  • Generating and completing code
  • Enhancing code quality and efficiency
  • Leveraging ChatGPT in Machine Learning projects
  • Integrating ChatGPT with Python libraries and frameworks
  • Challenges and best practices in ChatGPT-Python integration
  • Conclusion

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Yes! Python is one of the best languages for penetration testing because it’s easy to learn, has powerful libraries (like Scapy, Requests, and Socket), and allows quick scripting for exploits, network attacks, and automation. Many cybersecurity tools (Burp Suite, Metasploit) also support Python for customization.

Penetration testing can be challenging but rewarding. It requires:

  • Technical skills (networking, programming, OS knowledge).
  • Problem-solving to find and exploit vulnerabilities.
  • Continuous learning (new attacks, tools, and defenses).

With our hands-on Python penetration testing course, it becomes easier over time.

Salaries vary by role and experience, but Python Cybersecurity skills boost earning potential to ~$60 per hour. With this Penetration Testing with Python course, you can command this pay scale. 

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