🔐 MO-IT143 Ethical Hacking Snippets Collection

A comprehensive collection of ethical hacking tools, CTF challenges, and cybersecurity utilities developed for the MO-IT143 course. This repository contains practical implementations of various security analysis tools including file readers, regex extractors, log analyzers, web parsers, cryptographic tools, and flag decoders.

📁 Project Structure

MO-IT143_Ethical_hacking_snippets/
├── README.md                    # This documentation
├── requirements.txt             # Python dependencies
├── env/                        # Virtual environment
├── angie/                      # Additional utilities
│   ├── html_web_parser.py
│   └── web_parser_app.py
├── main/                       # Main application files
├── WEEK-1/                     # File handling and text analysis
│   ├── CTF-W1_mystery_text_file.txt
│   └── fileReader.py
├── WEEK-2/                     # Regular expressions and pattern matching
│   ├── file_handling_app.py
│   ├── Regex_Info_Extractor.ipynb
│   └── regexExtractor.py
├── WEEK-3/                     # Log analysis and forensics
│   ├── CTF-W3_expanded_access_logs.txt
│   ├── log_analysis_tool.ipynb
│   └── W3-reflection.md
├── WEEK-4/                     # Web scraping and SQL injection testing
│   ├── html_web_parser.py
│   ├── sql_injection_tester.py
│   ├── W4-reflection.md
│   └── web_parser_app.py
├── WEEK-5&6/                   # Cryptography and password security
│   ├── CTF-W5-Milestone1_large_hashed_passwords.txt
│   ├── CTF-W5-Milestone1_large_wordlist.txt
│   ├── encoder-decoder.py
│   ├── Hashing_Passwords.py
│   ├── milestone1_cryptic_vault.py
│   ├── W5_Practice_Activity_No1-Secret_Message_Encoder.md
│   └── W5_Practice_Activity_No2-Hashing_Passwords_with_SHA-256.md
├── WEEK-7/                     # Advanced flag decoding and forensics
│   ├── CTF-W7_large_leaked_transactions.csv
│   ├── MO-IT143_Week7_CTF_The_Hidden_Code_BSIT-S3101.py
│   └── W7-reflections.md
├── WEEK-8/                     # Web traffic analysis and HAR file forensics
│   ├── CTF-W8_large_captured_web_traffic.har
│   ├── PythonPoweredHARAnalysis.py
│   ├── ctf_har_flag_extractor.py
│   ├── packetSniffingTool.py
│   └── w8.md
└── WEEK-9&10/                  # GUI debugging and code analysis
    └── CTF-W9-Milestone 2.py

🚀 Quick Start

1. Environment Setup

Open VS Code in the project folder:

• Open VS Code
• Go to File > Open Folder... and select MO-IT143_Ethical_Hacking_Snippets

Open a new terminal in VS Code:

• Go to Terminal > New Terminal
• The terminal should open in your project folder

Activate the virtual environment:

• Windows (cmd):

  env\Scripts\activate

• Windows (PowerShell):

  .\env\Scripts\Activate.ps1

• Git Bash or WSL:

  source env/Scripts/activate

Install required packages:

pip install -r requirements.txt

2. Running Applications

🌐 CTF Week 8: HAR Traffic Analyzer (Latest)

Web traffic analysis and network forensics tool

cd WEEK-8
python PythonPoweredHARAnalysis.py

Features:

• 🔍 HAR File Analysis: Parse and analyze HTTP Archive files with 15,000+ requests
• 🔐 Session Token Extraction: Extract authentication tokens from API responses
• 🎯 Flag Detection: Search for CTF flags hidden in network traffic
• 📊 Data Visualization: Charts and statistics for traffic patterns
• 🎨 Tabbed GUI Interface: Professional multi-tab interface for different analysis views
• 📈 Request Replay: Replay network requests for testing

Use Cases:

• Digital forensics investigation
• API security analysis
• Session token extraction
• Network traffic pattern analysis

🔍 CTF Week 7: Flag Decoder

Advanced flag detection and decoding tool for CTF challenges

cd WEEK-7
python "MO-IT143 Week7 CTF_The Hidden Code BSIT-S3101.py"

Features:

• 🎯 Multi-format Detection: Automatically detects Base64 and hexadecimal encoding
• 🏆 Smart Flag Recognition: Searches for common CTF flag patterns
• 📊 CSV Data Analysis: Processes large transaction datasets
• 🎨 Modern GUI Interface: User-friendly tkinter-based interface
• 📈 Real-time Progress: Progress tracking during analysis
• 💾 Export Results: Save findings to text files

Supported Flag Patterns:

• flag{...}
• FLAG{...}
• CTF{...}
• cyboria{...}
• CYBORIA{...}
• Generic pattern{...}

🐛 CTF Week 9&10: GUI Debugger

Code debugging and logic analysis challenge

cd "WEEK-9&10"
python "CTF-W9-Milestone 2.py"

Features:

• 🔍 Code Analysis: Debug Python GUI applications
• 🧩 Logic Flow Tracing: Understand code execution paths
• 🎯 Flag Discovery: Find hidden flags through code debugging
• 🎨 Interactive GUI: Test and validate code behavior

Learning Objectives:

• Code debugging techniques
• Understanding program flow
• GUI application testing
• CTF problem-solving strategies

📝 Week 2: Regex Info Extractor

Pattern matching and data extraction tool

cd WEEK-2
# For Jupyter Notebook
jupyter notebook Regex_Info_Extractor.ipynb
# For Python script
python regexExtractor.py

📊 Week 3: Log Analysis Tool

Security log analysis and forensics

cd WEEK-3
jupyter notebook log_analysis_tool.ipynb

🌐 Week 4: Web Parser & SQL Injection Tester

Web scraping and security testing tools

cd WEEK-4
python web_parser_app.py
python sql_injection_tester.py

🔐 Week 5-6: Cryptographic Tools

Encryption, decryption, and password security

cd "WEEK-5&6"
python encoder-decoder.py
python "Hashing Passwords.py"
python milestone1_cryptic_vault.py

🛠️ Tools Overview

Week 1: File Analysis

• File Reader: Basic file handling and text analysis
• Mystery Text Decoder: CTF challenge for hidden content

Week 2: Pattern Matching

• Regex Extractor: Advanced regular expression pattern matching
• Data Validation: Input validation and sanitization tools

Week 3: Log Forensics

• Access Log Analyzer: Web server log analysis
• Security Event Detection: Anomaly detection in logs
• Traffic Pattern Analysis: Network behavior analysis

Week 4: Web Security

• HTML Parser: Web content extraction and analysis
• SQL Injection Tester: Database security assessment
• Web Vulnerability Scanner: Automated security testing

Week 5-6: Cryptography

• Message Encoder/Decoder: Various encoding schemes
• Password Hasher: SHA-256 and other hashing algorithms
• Cryptic Vault: Advanced encryption challenges

Week 7: Advanced Forensics

• Flag Decoder: Multi-format encoded data analysis
• Transaction Forensics: Financial data investigation
• Pattern Recognition: AI-assisted flag detection

Week 8: Web Traffic Analysis

• HAR File Analyzer: HTTP Archive file forensics
• Session Token Extractor: Authentication token analysis
• Network Traffic Inspector: Web traffic pattern analysis
• Request Replay Tool: HTTP request testing and validation

Week 9&10: Code Debugging & Analysis

• GUI Debugger: Interactive code debugging challenges
• Logic Flow Analysis: Program execution path tracing
• Code CTF Solutions: Debugging-based flag discovery

📋 Requirements

System Requirements

• OS: Windows 10/11, macOS 10.14+, or Linux
• Python: 3.8 or higher
• Memory: 4GB RAM minimum (8GB recommended for large datasets)
• Storage: 500MB free space

Python Dependencies

pandas>=2.2.3
tkinter (built-in)
numpy>=1.24.0
matplotlib>=3.7.0
seaborn>=0.12.0
requests>=2.31.0
beautifulsoup4>=4.13.4
jupyter>=1.0.0
pyperclip>=1.8.2
cryptography>=44.0.2

🎯 CTF Challenges

Available CTF Files

1. Week 1: CTF-W1_mystery_text_file.txt - Text analysis challenge
2. Week 3: CTF-W3_expanded_access_logs.txt - Log forensics
3. Week 5: CTF-W5-Milestone1_large_hashed_passwords.txt - Password cracking
4. Week 5: CTF-W5-Milestone1_large_wordlist.txt - Dictionary attacks
5. Week 7: CTF-W7_large_leaked_transactions.csv - Financial forensics
6. Week 8: CTF-W8_large_captured_web_traffic.har - Web traffic analysis
7. Week 9&10: CTF-W9-Milestone 2.py - GUI debugging challenge

CTF Solving Tips

• Use the appropriate tool for each week's challenge
• Check for multiple encoding layers
• Look for patterns in data structure
• Consider steganography techniques
• Validate findings with multiple methods

🔧 Troubleshooting

Common Issues

ModuleNotFoundError:

# Ensure virtual environment is activated
env\Scripts\activate
pip install -r requirements.txt

GUI Not Appearing:

• Check Python tkinter installation
• Verify display settings on remote systems
• Run in local environment if using SSH

Large File Processing:

• Increase system memory allocation
• Process files in chunks
• Use streaming methods for CSV files

Permission Errors:

• Run terminal as administrator (Windows)
• Check file permissions
• Ensure write access to output directories

Performance Optimization

• Large Datasets: Use pandas chunking for files >100MB
• Memory Usage: Monitor RAM usage during analysis
• Processing Speed: Enable multiprocessing for CPU-intensive tasks

📚 Educational Objectives

Learning Outcomes

• File Forensics: Digital evidence analysis techniques
• Pattern Recognition: Advanced regex and data mining
• Web Security: Vulnerability assessment and testing
• Cryptanalysis: Encryption/decryption methodologies
• Log Analysis: Security incident investigation
• CTF Methodologies: Competitive cybersecurity techniques

Skills Developed

• Python programming for security applications
• GUI development with tkinter
• Data analysis with pandas and numpy
• Web scraping and parsing
• Cryptographic implementations
• Digital forensics techniques

🤝 Contributing

This is an educational project for MO-IT143. Contributions should follow academic integrity guidelines.

📄 License

Educational use only. See course guidelines for usage restrictions.

📞 Support

For technical issues or questions:

1. Check the troubleshooting section
2. Review course materials
3. Contact course instructor
4. Check Python documentation for specific modules

---

Author: MO-IT143 Student
Course: Ethical Hacking and Cybersecurity
Last Updated: October 10, 2025

📅 Project Timeline - Gantt Chart

The following Gantt chart visualizes the development timeline and learning progression throughout the MO-IT143 Ethical Hacking course:

gantt
    title MO-IT143 Ethical Hacking - Course Timeline & Development Progress
    dateFormat YYYY-MM-DD
    axisFormat %b %d
    excludes weekends
    
    section Course Foundation
    Course Introduction         :done, intro, 2025-01-15, 2d
    Environment Setup          :done, setup, after intro, 3d
    
    section Week 1 - File Analysis
    File Handling Fundamentals :done, w1_theory, 2025-01-20, 2d
    Mystery Text File CTF      :done, w1_ctf, after w1_theory, 2d
    File Reader Development    :done, w1_dev, after w1_ctf, 3d
    Week 1 Assessment         :done, w1_assess, after w1_dev, 1d
    
    section Week 2 - Pattern Matching
    Regex Theory & Concepts    :done, w2_theory, 2025-01-27, 2d
    Regex Extractor GUI        :done, w2_gui, after w2_theory, 3d
    File Handling App          :done, w2_app, after w2_gui, 2d
    Jupyter Notebook Lab       :done, w2_lab, after w2_app, 2d
    Week 2 Deliverables       :done, w2_deliver, after w2_lab, 1d
    
    section Week 3 - Log Forensics
    Log Analysis Fundamentals  :done, w3_theory, 2025-02-03, 2d
    Access Log Investigation   :done, w3_ctf, after w3_theory, 2d
    Analysis Tool Development  :done, w3_tool, after w3_ctf, 3d
    Security Event Detection   :done, w3_detection, after w3_tool, 2d
    Week 3 Reflection         :done, w3_reflect, after w3_detection, 1d
    
    section Week 4 - Web Security
    Web Scraping Techniques    :done, w4_theory, 2025-02-10, 2d
    HTML Parser Implementation :done, w4_parser, after w4_theory, 3d
    SQL Injection Testing      :done, w4_sql, after w4_parser, 3d
    Web Security Assessment    :done, w4_security, after w4_sql, 2d
    Week 4 Documentation      :done, w4_docs, after w4_security, 1d
    
    section Week 5-6 - Cryptography
    Cryptographic Foundations  :done, w5_theory, 2025-02-17, 3d
    Encoder-Decoder Tool       :done, w5_encoder, after w5_theory, 3d
    Password Hashing System    :done, w5_hash, after w5_encoder, 3d
    Cryptic Vault Challenge    :done, w5_vault, after w5_hash, 4d
    Milestone 1 CTF           :done, w5_ctf, after w5_vault, 3d
    Cryptography Assessment   :done, w5_assess, after w5_ctf, 2d
    
    section Week 7 - Advanced Forensics
    Digital Forensics Theory   :done, w7_theory, 2025-03-03, 2d
    Transaction Data Analysis  :done, w7_analysis, after w7_theory, 2d
    Flag Decoder Development   :done, w7_decoder, after w7_analysis, 4d
    Multi-Format Encoding      :done, w7_encoding, after w7_decoder, 2d
    CTF Challenge Solution     :done, w7_ctf, after w7_encoding, 3d
    Final Implementation      :done, w7_final, after w7_ctf, 2d
    Week 7 Reflection         :done, w7_reflect, after w7_final, 1d
    
    section Week 8 - Web Traffic Analysis
    HAR File Format Study      :done, w8_theory, 2025-03-10, 2d
    Network Traffic Analysis   :done, w8_analysis, after w8_theory, 2d
    HAR Analyzer Development   :done, w8_analyzer, after w8_analysis, 4d
    Session Token Extraction   :done, w8_tokens, after w8_analyzer, 2d
    CTF Traffic Investigation  :done, w8_ctf, after w8_tokens, 3d
    Request Replay Features    :done, w8_replay, after w8_ctf, 2d
    Week 8 Documentation      :done, w8_docs, after w8_replay, 1d
    
    section Week 9-10 - Code Debugging & Final Projects
    Debugging Fundamentals     :done, w9_theory, 2025-03-17, 2d
    GUI Code Analysis          :done, w9_analysis, after w9_theory, 2d
    Logic Flow Tracing         :done, w9_debug, after w9_analysis, 3d
    CTF Debugging Challenge    :done, w9_ctf, after w9_debug, 2d
    Final Project Integration  :done, w9_integration, after w9_ctf, 3d
    Course Completion Review   :done, w9_review, after w9_integration, 2d
    
    section Project Milestones
    Environment Configured     :milestone, m1, 2025-01-18, 0d
    First CTF Solved          :milestone, m2, 2025-01-24, 0d
    GUI Applications Ready    :milestone, m3, 2025-02-01, 0d
    Log Analysis Complete     :milestone, m4, 2025-02-08, 0d
    Web Security Tools Done   :milestone, m5, 2025-02-15, 0d
    Crypto Milestone 1        :milestone, m6, 2025-03-01, 0d
    Flag Decoder Released     :milestone, m7, 2025-03-10, 0d
    HAR Analyzer Complete     :milestone, m8, 2025-03-17, 0d
    Course Completion         :milestone, final, 2025-03-24, 0d
    
    section Documentation
    README Development        :done, docs_readme, 2025-01-15, 2025-10-10
    Code Documentation        :done, docs_code, 2025-02-01, 2025-10-10
    Weekly Reflections        :done, docs_reflect, 2025-01-20, 2025-10-10
    Final Project Report      :done, docs_final, 2025-03-10, 1w

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📊 Timeline Highlights:

• 🚀 Course Duration: January 15 - March 24, 2025 (10 weeks)
• 🎯 Active Phase: Course Completed - All weeks finished
• 🏆 Milestones Achieved: 9 out of 9 major milestones completed
• 📈 Progress Status: 100% complete

📋 Weekly Focus Areas:

Week	Focus Area	Key Deliverables	Status
Week 1	File Analysis	File Reader, Mystery Text CTF	✅ Complete
Week 2	Pattern Matching	Regex Extractor, GUI Applications	✅ Complete
Week 3	Log Forensics	Access Log Analysis, Security Detection	✅ Complete
Week 4	Web Security	HTML Parser, SQL Injection Tester	✅ Complete
Week 5-6	Cryptography	Encoder/Decoder, Password Hashing, Cryptic Vault	✅ Complete
Week 7	Advanced Forensics	Flag Decoder, Transaction Analysis	✅ Complete
Week 8	Web Traffic Analysis	HAR Analyzer, Session Token Extraction	✅ Complete
Week 9-10	Code Debugging	GUI Debugger, Logic Flow Analysis	✅ Complete

🎯 Course Status - All Complete:

• ✅ Week 1: File Analysis (Complete)
• ✅ Week 2: Pattern Matching (Complete)
• ✅ Week 3: Log Forensics (Complete)
• ✅ Week 4: Web Security (Complete)
• ✅ Week 5-6: Cryptography (Complete)
• ✅ Week 7: Advanced Forensics (Complete)
• ✅ Week 8: Web Traffic Analysis (Complete)
• ✅ Week 9-10: Code Debugging & Final Projects (Complete)