OSTE-Web-Log-Analyzer: Automated Web Log Analysis for Security

OSTE-Web-Log-Analyzer: Automated Web Log Analysis for Security

The OSTE-Web-Log-Analyzer is a Python-based tool designed to automate the analysis of web server logs. It enhances cybersecurity by detecting potential threats like web application attacks and suspicious activities.

This guide will walk you through its features, installation, usage, and contribution process.

Features

The OSTE-Web-Log-Analyzer offers a range of functionalities to help secure your web applications:

  • Attack Detection: Identifies common web application attacks such as:

    • Cross-Site Scripting (XSS)

    • Local File Inclusion (LFI)

    • Remote File Inclusion (RFI)

    • Other vulnerabilities


  • Rate Limit Monitoring: Detects patterns of multiple requests in a short timeframe, useful for identifying brute-force attacks or automated scanning tools.

  • Automated Scanner Detection: Flags requests from known vulnerability scanners or automated tools.

  • User-Agent Analysis: Analyzes User-Agent strings to spot unusual or malicious behavior.

Future Features

The project is actively being developed, with plans to include:

  • IP Geolocation: Identify the geographic location of IP addresses in the logs.

  • Real-Time Monitoring: Enable real-time threat detection.

Installation

The OSTE-Web-Log-Analyzer requires Python 3. Follow these steps to install it:

1.Clone the repository:

git clone https://github.com/OSTEsayed/OSTE-Web-Log-Analyzer.git

2.Navigate to the project directory:

cd OSTE-Web-Log-Analyzer

3.Run the tool:

python3 WLA-cli.py

Usage

To analyze logs, execute the tool with appropriate commands:

1.Basic usage:

python3 WLA-cli.py -l LogSamples/access.log -t

2.For detailed usage instructions, use the help command:

python3 WLA-cli.py -h

Contributing

Contributions are welcome! Here's how you can help:

  1. Fork the Repository: Create a fork and a new branch for your contribution.

  2. Code Standards: Ensure your changes adhere to the project's coding standards.

  3. Testing: Test your changes thoroughly before committing.

  4. Submit a Pull Request: Provide a clear description of your changes and their purpose.

Alternatively, you can support the project via donations (e.g., BuyMeACoffee).

License

The OSTE-Web-Log-Analyzer is licensed under the GNU General Public License v3.0, ensuring that it remains free and open-source.

Users are encouraged to use it responsibly for educational and ethical purposes only. You can learn more and Download OSTE-Web-Log-Analyzer in GitHub.

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