PENTEST-PYTHON.AW2

Learn Penetration Testing with Python

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

15 Interactive Lessons and 151 topics mapped to the official exam objectives

Intermediate Self-paced · 1 year access

15Interactive Lessons

151Topics

01 / Skills you'll get

What you will be able to do

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.

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.

Course Highlights

15 Structured Lessons Comprehensive coverage of core course objectives
1 Year Full Access Self-paced learning accessible anytime on all devices

02 / Lessons & labs

See exactly what you will learn and practice

Download outline (PDF)

Lessons

15 Interactive Lessons · 151 topics

01 Preface

02 Starting with Penetration Testing and Basic Python 12 topics

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

03 Cracking with Python 3 5 topics

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

04 Service and Applications Brute Forcing with Python 7 topics

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

05 Python Services Identifications: Ports and Banner 16 topics

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

06 Python Network Modules and Nmap 14 topics

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

07 Network Monitoring with Python 10 topics

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

08 Attacking Wireless with Python 8 topics

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

09 Analyze Web Applications with Python 9 topics

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 10 topics

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 18 topics

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 8 topics

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

13 Python with Burp Suite 13 topics

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 14 topics

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 7 topics

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

03 / FAQs

Questions before you start

Is Python good for penetration testing?

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.

Is penetration testing a hard job?

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.

What is the salary of a cybersecurity Python?

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.

Develop Python Cybersecurity Skills

Write Python scripts to crack passwords, scan networks, and exploit flaws faster.

1 year of full access
Certificate of completion