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Saif Ali
Saif Ali

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Firewall & ACL Auditor — Python Security Tool #security #python #linux #networksecurity

Introduction

I built an Automated Firewall & ACL Rule Auditor using Python as my third practical cybersecurity project.

The goal of this project is to automate the initial security review of firewall and ACL rules and identify common configuration weaknesses that may increase security risk.

The project also includes an interactive Tkinter GUI dashboard to make audit results easier to review and understand.

Project Objective

Firewall and ACL rules control which network traffic is allowed or denied. Poorly configured rules can create unnecessary security risks.

Manually reviewing these rules can be time-consuming, especially when dealing with multiple configurations.

This project automates the initial review process by analyzing firewall and ACL rules and identifying potentially risky configurations.

Technologies Used

  • Python
  • Tkinter
  • Firewall & ACL concepts
  • Security Auditing
  • Risk Assessment
  • Security Automation
  • Git & GitHub

How It Works

The basic workflow is:

Firewall/ACL Rules → Rule Analysis → Security Checks → Findings → Risk Assessment → Report

The auditor examines the configured rules and checks them against predefined security conditions.

When a potentially insecure configuration is detected, the tool records the finding and assigns an appropriate severity or risk level.

Security Checks

The auditor focuses on common firewall and ACL configuration weaknesses, including:

  • Overly permissive rules
  • Insecure services
  • Unnecessary access
  • Broad source or destination definitions
  • Potentially risky configurations
  • Rule-level security findings

The results help identify which rules should receive further security review.

Risk Assessment

A key improvement in this version is the addition of risk assessment.

Instead of only identifying a problematic rule, the auditor provides a risk-oriented view of the findings.

The audit results can include:

  • Finding
  • Severity
  • Risk level
  • Rule information
  • Security recommendation

This makes it easier to prioritize findings based on their potential security impact.

GUI Dashboard

I developed an interactive Tkinter-based GUI dashboard to present the audit results visually.

The dashboard provides information such as:

  • Total firewall rules audited
  • Security findings
  • Severity levels
  • Compliance status
  • Risk score
  • Overall risk
  • Firewall rule statistics

This makes the results easier to understand than reviewing raw output alone.

GUI Dashboard

Why Security Automation?

Security teams may need to review a large number of firewall and ACL rules.

Automation can reduce repetitive manual work and provide a consistent initial security review.

This tool is not intended to replace a complete professional firewall audit. Instead, it demonstrates how Python can automate repetitive security assessment tasks and highlight configurations that require further investigation.

What I Learned

While building this project, I improved my practical understanding of:

  • Firewall rule evaluation
  • ACL security concepts
  • Security auditing
  • Risk assessment
  • Python automation
  • Tkinter GUI development
  • Security findings and severity classification
  • Defensive security workflows

The project also helped me understand how security automation can support security operations and GRC-oriented processes.

Project Progression

This is my third practical cybersecurity project.

My current project progression is:

Project 1: Nmap XML Parser v1.1 with MariaDB Integration

Project 2: Network Scanner & Service Enumeration Tool

Project 3: Automated Firewall & ACL Rule Auditor

The projects demonstrate a progression from network reconnaissance and service enumeration toward automated security auditing.

Conclusion

The Automated Firewall & ACL Rule Auditor demonstrates how Python can be used to automate the initial review of firewall and ACL configurations.

By combining rule analysis, security findings, risk assessment, and a GUI dashboard, the project provides a practical approach to identifying potentially risky configurations.

I am continuing to build practical projects focused on Cloud Security, Security Automation, Network Security, and GRC.

Connect with Me

GitHub: https://github.com/Saif2246/CyberSecurity-Portfolio

LinkedIn: https://www.linkedin.com/in/saif-ali-a22230409/

Thanks for reading!

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