Over time, firewall configurations can become bloated with redundant, shadowed, or overly permissive rules — leading to inefficiencies and potential security gaps. A policy analyzer helps administrators audit, clean, and strengthen these rule sets efficiently.
The tool parses firewall configurations (e.g., iptables, Cisco ACLs), detects conflicting or unused rules, calculates rule hit ratios, and proposes an optimized configuration with improved readability and security alignment.
Identify overlapping, duplicate, or shadowed rules that never get triggered.
Highlight overly permissive rules (e.g., 'allow all') and flag risky ports or IPs.
Suggest reordering rules for faster packet processing and minimize rule counts.
Visualize traffic flow through rules and simulate packet behavior before and after optimization.
The tool ingests firewall configuration files and parses each rule into a structured format. It then analyzes rule precedence, usage statistics, and syntactic conflicts to flag inefficiencies and risks. Suggestions are generated for improved rule order, reduced overlaps, and tightened access controls.
Python with pyparsing or custom regex parsers for iptables/Cisco ACLs.
SimPy for flow simulation, or build custom logic for packet path testing.
Greedy or heuristic algorithms to find minimum rule sets and resolve overlaps.
Flask/Django + Chart.js or React for interactive rule viewers and downloadable reports.
Parse iptables or ACL configs into structured JSON format for analysis.
Detect duplicate rules, dead rules, and overly permissive entries.
Create a traffic flow simulator to observe how real packets traverse the rule set.
Propose reordered or compressed rules to improve security and speed.
Allow users to view original vs optimized rules and export recommendations.
Build an intelligent tool that audits, analyzes, and strengthens firewall policies — ensuring minimal risk and optimal system efficiency.
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