cve-reproduction-lab — Cybersecurity lab demonstrating Apache CVE-2021-41773 path traversal vulnerability with vulnerable server simulation, scanner, and security reporting. | Kitploit
Tools / GitHub / tsiddiquea / cve-reproduction-lab tsiddiquea/cve-reproduction-lab
cve-reproduction-lab Cybersecurity lab demonstrating Apache CVE-2021-41773 path traversal vulnerability with vulnerable server simulation, scanner, and security reporting.
Discover the most used tools by our community.
Last 7 Days Last 30 Days
CVE Reproduction Lab
Overview
This project is a cybersecurity research laboratory designed to demonstrate the real-world impact of software vulnerabilities through controlled exploitation and defensive patch simulation.
The lab focuses on CVE-2021-41773, a critical path traversal vulnerability in Apache HTTP Server that allows attackers to access sensitive files outside the web root.
The environment includes both a vulnerable server simulation and a patched secure implementation to highlight the importance of proper input normalization and secure configuration practices.
The project is intended for educational, ethical hacking, and cybersecurity research purposes only.
Objectives
Reproduce a real-world CVE vulnerability in a safe lab environment
Understand HTTP path traversal attack mechanics
Demonstrate exploitation using automated scanning techniques
Implement defensive mitigation and secure server handling
Generate structured vulnerability assessment reports
Strengthen practical knowledge of web security flaws
Project Structure
CVE_LAB/
│
├── exploit_CVE_2021_41773.py → Automated vulnerability scanner & report generator
├── vulnerable_server.py → Simulated Apache server with path traversal flaw
├── patched_server.py → Secure server implementation blocking traversal
├── requirements.txt → Python dependencies
└── reports/ → Generated vulnerability reports
Key Features
Vulnerability Simulation
Demonstrates Apache path normalization flaw
Allows encoded traversal payload exploitation
Simulates unauthorized access to sensitive system files
Automated Exploit Scanner
Crafts malicious HTTP requests
Detects successful traversal based on response patterns
Displays attack explanation and methodology
Generates structured security assessment reports
Secure Patch Implementation
Validates incoming request paths
Blocks traversal sequences and encoded payloads
Returns safe HTTP responses
Demonstrates secure defensive coding practices
Report Generation
CVE identification
Severity classification
Target vulnerability status
Root cause analysis
Recommended mitigation strategy
Technical Concepts Demonstrated
Path Traversal Exploitation
HTTP Request Manipulation
Web Server Misconfiguration Risks
Secure Input Validation
Vulnerability Assessment Automation
Defensive Security Engineering
Requirements
Python 3.x
requests library
pip install -r requirements.txt
Usage
Step 1 — Run Vulnerable Server python vulnerable_server.py
Step 2 — Run Exploit Scanner python exploit_CVE_2021_41773.py --target http://localhost:8000
Send traversal payload
Analyze server response
Confirm vulnerability status
Generate a detailed CVE report
Step 3 — Run Patched Server The exploit should now fail, demonstrating effective mitigation.
Learning Outcomes Through this lab, learners gain hands-on experience with:
Realistic vulnerability reproduction
Ethical exploitation methodology
Defensive secure coding
Cybersecurity reporting standards
Practical web application risk analysis
Ethical Use Disclaimer This project is strictly intended for:
Cybersecurity education
Defensive research
Controlled lab experimentation
Do not use this tool against systems without explicit authorization.
Author Developed as part of hands-on cybersecurity research focusing on reconnaissance automation and offensive security tooling.
License This project is released for educational use and research purposes.
