Projects

The Secret Detective Http Project

Explore how web servers respond to HTTP requests. Learn to read headers, status codes, and analyze cache behavior using only browser tools and online services—no coding required.

Pentesting Reconnaissance Project - The Lovers

This project introduces students to the reconnaissance phase on the vulnerable machine The Lovers. Students will discover the target's IP address, scan open ports and services with Nmap, identify the operating system, and confirm the existence of an HTTP service as preparation for further enumeration and exploitation phases.

Detect the XSS Vulnerability

Analyze a vulnerable form in a fictional licensing site, identify the XSS vulnerability, and validate your finding with a script.

Criminal Name - Hunt and Decode

Analyze a suspicious script, deduce the criminal's name from clues, and decode a flag using CyberChef.

Your First Ai First Coding Implementation Plan

Learn to create a comprehensive implementation plan to guide your AI coding partner in building any project you can imagine!

Ransomware Incident Response Plan based on NIST

This project aims to guide students in developing a ransomware incident response plan using the NIST cybersecurity framework. The exercise focuses on a case study of a fictitious company named TechCo, exploring the areas of identification, protection, detection, response, and recovery in the event of a ransomware attack.

Your First Zap With Ai

Learn how to set up your first Zap with Zapier to automatically classify emails and send notifications to Slack whenever a deal is detected.

Building Project Requirements With AI

HTTP Traffic Forensics: Red Flag

Analyze a .pcap file containing a suspicious HTTP transaction, find a Base64-encoded string, and decode the flag.

Pwned! - Find the Backdoor

Investigate a compromised website to detect a hidden reverse shell. Find the backdoor and validate your discovery.

Alternative time series project

Use ARIMA model to forecast sales using time series analysis to estimate future sales rate.

Cursor Configuration

Learn to customize Cursor settings, create powerful custom rules, and use advanced features like MCPs to build a personalized AI-assisted workflow that boosts your development productivity.

SQL Project: Global Life Institute Data Detectives

In this project, you will learn how to structure a professional Python project focused on analyzing biodiversity and climate data using SQL queries and Python tools like SQLAlchemy and Pandas.

Monthly Sales Analyzer

Analyze monthly sales data for three products over 20 days using Python. Apply loops, conditionals, and data structures to calculate totals, averages, and trends for better insights.

Pentesting Web Reconnaissance Project - The Lovers

In this project, students will perform the web reconnaissance phase on the vulnerable machine The Lovers. The goal is to explore the initial web page, identify the login form, and use tools like Gobuster or Dirb with SecLists to enumerate hidden directories and files. No exploitation will be performed yet; the results will serve as input for later phases.

Classic Cryptography: Holy Riddle

You’ve recovered a suspicious string. Your goal is to decrypt it using a classic cipher method called Atbash and validate your result using a script. Only if you decrypt it correctly will you receive the final reward.

Blue Code - Sabotaged Password Recovery

Analyze and repair a Python script sabotaged by an internal attacker to recover the original password. Once fixed, validate it and decode a flag using CyberChef.

Digital Forensic Analysis with Autopsy: The John Doe Case

This project guides students through a practical digital forensic analysis using a segmented .E01 forensic image and Autopsy. The objective is to investigate possible data exfiltration by analyzing file manipulation, compression, suspicious browsing, and evidence deletion, and to document findings in a structured technical report.

Http Foundations Ctf Project

A Capture The Flag (CTF) project designed to solidify your understanding of core HTTP concepts. By solving a series of challenges.

Visualization Exercises with Matplotlib and Seaborn

This project is designed to help you learn and practice data visualization techniques using Matplotlib and Seaborn libraries in Python. The exercises will guide you through creating customizable and elegant charts, from line and bar charts to scatter and pie charts.