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[PDF] Python for Cybersecurity (Security Automation) — Beginner to Advanced
[PDF] Python for Cybersecurity (Security Automation) — Beginner to Advanced
Curriculum
12 Sections
70 Lessons
10 Weeks
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🔰 Module 1: Introduction to Python and Cybersecurity
✅ Lessons Learned: Understand Python fundamentals and cybersecurity domains Get your development environment ready
12
1.1
What is Python and why it’s used in Cybersecurity
1.2
Installing Python and Setting Up Your Environment in Kali Linux
1.3
Python syntax basics (variables, data types, control structures)
1.4
Real-World Usage on ( variables, data types, control structure)
1.5
Control Structures in Python for Cybersecurity
1.6
What is a Socket in Python?
1.7
Control Structures : Loop Control: break, continue, pass
1.8
Control Structures in Python – Using Functions
1.9
Python for Cybersecurity – Lists, Dictionaries, and Handling Data
1.10
Python for Cybersecurity – Reading and Writing Data to Files
1.11
Basic cybersecurity terms and attack types
1.12
Cybersecurity toolkits and libraries overview
⚙️ Module 2: Automating Basic Tasks with Python
✅ Lessons Learned: Automate common system and file tasks Create scripts to handle basic security data
11
2.1
File handling and log analysis
2.2
Error Handling with Python in Cybersecurity Making Your Scripts More Reliable and Secure
2.3
Practice Tasks in the Error Handling
2.4
Challenge Project: Smart Log Parser with Error Handling
2.5
Loops + Conditions + Files = Real Automation Scripts
2.6
Working with System Commands Using the subprocess Module in Python
2.7
More Examples: Working with System Commands in Python (subprocess)
2.8
Mini Project: Nmap Automation and Log Parsing for Suspicious Activity Detection
2.9
Scripting password generators
2.10
Reading and writing system logs
2.11
🛡️ Mini Project : Log Scanner for Failed SSH Logins (Linux)
🌐 Module 3: Network Programming and Scanning
✅ Lessons Learned: Build Python tools to scan and interact with networks
7
3.1
Introduction to Sockets in Python (for Cybersecurity Beginners)
3.2
Building a Port Scanner and a Simple Backdoor in Python
3.3
Building a Basic TCP and UDP Client & Server in Python
3.4
Detect Suspicious Connections Using TCP/UDP Logging in Python
3.5
Port Scanning with Python
3.6
Service Banner Grabbing with Python (Find Out What Services Are Running on Open Ports)
3.7
Network Mapping and Host Discovery with Python (Find out what devices are alive on a network)
🛡️ Module 4: Web and API Exploitation
✅ Lessons Learned: Use Python to test and exploit web services
8
4.1
Interacting with APIs in Python (Shodan, VirusTotal, Censys)
4.2
Project: Build a Basic Threat-Hunting Script Using the Shodan API
4.3
Threat-Hunting Script that Cross-Checks Shodan Results with VirusTotal
4.4
Threat-Hunting Script that Cross-Checks Shodan Results with VirusTotal and send to Email or telegram
4.5
Parsing HTML and web data (BeautifulSoup)
4.6
Building a Site Crawler for Deep Recon with Python
4.7
Sending Requests Using requests and http.client in Python
4.8
Automating Login Forms and Brute-Forcing Web Apps with Python
🔓 Module 5: Password Cracking and Hashing
✅ Lessons Learned: Crack hashes and automate password auditing
4
5.1
Brute-Force and Dictionary Attacks with Python
5.2
Understanding Password Hashes in Python (MD5, SHA256, bcrypt)
5.3
Wordlist Management and Custom Wordlist Generation with Python
5.4
Integrating with hashlib, passlib, and rockyou.txt
📦 Module 6: Packet Sniffing and Analysis
✅ Lessons Learned: Monitor and analyze live network traffic with Python
5
6.1
Introduction to Packets and Protocols in Cybersecurity
6.2
Building Your First Packet Sniffer with Python (Using scapy)
6.3
Building a Packet Sniffer with Python — Beginner Friendly Guide
6.4
Writing Filters to Capture Specific Data (e.g., Credentials, IPs) with Python and Scapy
6.5
Advanced Packet Filter with Logging + Alerting
🧪 Module 7: Vulnerability Scanning and Exploitation
✅ Lessons Learned: Build tools to scan and test for common vulnerabilities
4
7.1
Writing Basic Vulnerability Scanners in Python
7.2
Exploit Development Basics with Python
7.3
Automating metasploit and msfconsole with Python scripts
7.4
Parsing Nmap or Nessus Scan Results with Python
🐍 Module 8: Malware Analysis with Python
✅ Lessons Learned: Build custom malware analysis tools and workflows
4
8.1
Analyzing Malware Samples (Static & Dynamic Analysis) with Python
8.2
Automating Malware Behavior Monitoring with Python
8.3
Creating Python Sandboxes for Malware Analysis
8.4
Detecting and Unpacking Obfuscated Code with Python
🔐 Module 9: Cryptography and Secure Coding
Lessons Learned: Implement encryption and secure communications in Python
4
9.1
Using the cryptography and pycrypto Libraries in Python
9.2
Symmetric & Asymmetric Encryption in Python (AES & RSA)
9.3
Digital Signatures and Certificates in Python
9.4
Secure Coding Best Practices for Python Security Tools
🧠 Module 10: Machine Learning in Cybersecurity (Intro)
✅ Lessons Learned: Understand how Python and ML enhance security detection
4
10.1
Intro to Machine Learning for Anomaly Detection
10.2
Using scikit-learn to Classify Traffic (Normal vs Malicious)
10.3
Detecting Phishing Domains with Machine Learning Models
10.4
Using Python to Train and Evaluate Models on Cyber Datasets
🧰 Capstone Project
Build a Python Cybersecurity Toolkit
5
11.1
Capstone Project: Building a Python Port Scanner
11.2
Capstone Project: Building a Web Vulnerability Scanner in Python
11.3
Capstone Project: Building a Password Cracker with Python
11.4
Capstone Project: Building a Packet Sniffer with Python
11.5
Capstone Project: Malware Signature Analyzer with Python
🏁 Bonus: Integration with Kali Linux Tools
2
12.1
Calling External Tools (Nmap, Nikto, Hydra) via Python
12.2
Automating Terminal-Based Tasks in Kali Using Python Scripts
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