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 Interaktive Lektionen Und 151 topics mapped to the official exam objectives
Intermediate Selbstgesteuert · 1 Jahr Zugang
15Interaktive Lektionen
151Topics
01 / Fähigkeiten, die Sie erwerben
What you will be able to do
Try Free →
Keine Kreditkarte benötigt
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 Strukturierte Lektionen Umfassende Abdeckung der zentralen Kursziele
-
1 Jahr voller Zugang Selbstgesteuertes Lernen, jederzeit auf allen Geräten zugänglich
02 / Lektionen & Labore
See exactly what you will learn and practice
Unterrichtsplan
15 Interaktive Lektionen · 151 topics01 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
Fragen, bevor Sie beginnen
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.
Keep going
You might also like
Develop Python Cybersecurity Skills
Write Python scripts to crack passwords, scan networks, and exploit flaws faster.