Exploit for Path Traversal in Apache Http_Server CVE-2021-41773

## https://sploitus.com/exploit?id=8998A604-B8C1-5982-8CA9-095640075371
# 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

Install dependencies:
```
pip install -r requirements.txt
```

## Usage

### Step 1 — Run Vulnerable Server
```
python vulnerable_server.py
```
Server runs locally on:
```
http://localhost:8000
```

### Step 2 — Run Exploit Scanner
```
python exploit_CVE_2021_41773.py --target http://localhost:8000
```
The scanner will:

* Send traversal payload
* Analyze server response
* Confirm vulnerability status
* Generate a detailed CVE report


### Step 3 — Run Patched Server
```
python patched_server.py
```
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.