Personal Firewall Application Development In Python — Complete Documentation & Simulation

Overview & System Context

Personal Firewall Application Development In Python: Comprehensive Web-Sourced Technical Investigation Exhaustive Research Dossier · Pure Web-Scraped Content: ~6014 Words · Real Software Screenshots: 1 1. Executive Overview & Technical Background This is a list of TCP and UDP port numbers used by protocols for operation of network applications. The Transmission Control Protocol (TCP) and the User Datagram Protocol (UDP) only need one port for bidirectional traffic. TCP usually uses port numbers that match the services of the corresponding UDP implementations, if they exist, and vice versa. The Internet Assigned Numbers Authority (IANA) is responsible for maintaining the official assignments of port numbers for specific uses.

However, many unofficial uses of both well-known and registered port numbers occur in practice. Similarly, many of the official assignments refer to protocols that were never or are no longer in common use. This article lists port numbers and their associated protocols that have experienced significant uptake. The port numbers in the range from 0 to 1023 (0 to 210 − 1) are the well-known ports or system ports. They are used by system processes that provide widely used types of network services. On Unix-like operating systems, a process must execute with superuser privileges to be able to bind a network socket to an IP address using one of the well-known ports.

The range of port numbers from 1024 to 49151 (210 to 215 + 214 − 1) are the registered ports. They are assigned by IANA for specific service upon application by a requesting entity. On most systems, registered ports can be used without superuser privileges. The range 49152–65535 (215 + 214 to 216 − 1), 16 384 ports, contains dynamic or private ports that cannot be registered with IANA. This range is used for private or customized services, for temporary purposes, and for automatic allocation of ephemeral ports.

Figure 1: Figure 1: Verified System Architecture & Pipeline Workflow This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software; the GNU project in particular objects to their works being referred to as open-source. For more information about the philosophical background for open-source software, see free software movement and Open Source Initiative. However, nearly all software meeting the Free Software Definition also meets the Open Source Definition and vice versa. A small fraction of the software that meets either definition is listed here. Some of the open-source applications are also the basis of commercial products, shown in the List of commercial open-source applications and services.

Cline – AI coding agent for IDEs and the command line. Codex CLI – AI coding agent and command-line interface developed by OpenAI. Command Code — CLI and desktop AI agent DeepSeek Coder – large language model designed for code generation and AI-assisted software development. Eclipse Theia – integrated development environment and framework with AI-assisted software development features. goose – AI coding agent for the desktop and command line. Kilo Code — CLI and IDE extension developed by Anaconda OpenCode — CLI, desktop app, web app, and IDE extensions OpenHands — AI software development agent Oh My Pi – terminal-based AI coding agent developed as a fork of Pi. Pi – terminal-based AI coding agent. Zed – source-code editor with integrated AI-assisted development and agentic coding features.

Apertus – Swiss National AI Initiative LLM BERT – Google LLM BLOOM – BigScience multilingual LLM Cerebras-GPT – Cerebras Systems LLMs DeepSeek – R1 and V3 models Gemma 4 – Google LLM GLM-4.5 and later versions – Z.ai LLMs GPT-1, GPT-2, and GPT-OSS – OpenAI LLMs GPT-J, GPT-Neo, and GPT-NeoX – EleutherAI LLMs Hy – Tencent open-weight LLM Granite – IBM LLMs Grok-1 – xAI LLM Inkling – Thinking Machines Kimi (some versions) – Moonshot AI LLMs MiMo (some versions) – Xiaomi LLMs Mistral (some versions) Muse Glimmer — Meta Superintelligence Labs LLM Nemotron 3 – Nvidia open-weight models OLMo – Allen Institute for AI LLM Phi – Microsoft LLMs Qwen (some versions) – Alibaba Cloud LLMs Sarvam-M, Sarvam-105B and Sarvam-30B – Sarvam AI LLMs SmolLM – Hugging Face small language models (SLMs) Step-3.7Flash – StepFun LLM T5 – Google LLM XLNet – Google LLM ArduPilot CoppeliaSim Gazebo Mobile Robot Programming Toolkit OpenRTM-aist Paparazzi Project Player Project Python Robotics Robot Operating System (ROS) TurtleBot UBtech Thinker Webots – robot simulator Archimedes (CAD) Art of Illusion Blender BRL-CAD – constructive solid geometry (CSG) solid modeling computer-aided design (CAD) system FreeCAD – parametric 3D CAD modeler with a focus on mechanical engineering, BIM, and product design LeoCAD — beginner Lego 3D modeler LibreCAD – 2D CAD software using AutoCAD-like interface and file format MakeHuman MeshLab Open Cascade Technology (OCCT) – CAD kernel for 3D CAD, CAM, CAE OpenSCAD – scripting-based 3D CAD software QCAD SolveSpace – 2D and 3D CAD, constraint-based parametric modeler with simple mechanical simulation abilities Sweet Home 3D Wings 3D Electric FreePCB Fritzing – CAD software for the design of electronics hardware to build more permanent circuits from prototypes gEDA GNU Circuit Analysis Package (Gnucap) Icarus Verilog KiCad – suite for electronic design automation (EDA) for schematic capture, PCB layout, manufacturing file viewing, SPICE simulation, and engineering calculation KTechLab Magic Ngspice pcb-rnd Oregano Quite Universal Circuit Simulator (QUCS) Verilator XCircuit Blender – 3D computer graphics software toolset used for creating animated films, visual effects, art, 3D printed models, and motion graphics FreeCAD – equivalent of Blender geared toward mechanical engineers OpenFOAM – software used for computational fluid dynamics (or CFD) FlightGear – atmospheric and orbital flight simulator with a flight dynamics engine (JSBSim) that was used in a 2015 NASA benchmark to judge new simulation code to space industry standards SimPy – queue-theoretic event-based simulator written in Python Salome – generic platform for Pre- and Post-Processing for numerical simulation OpenPGP – open-source version of Pretty Good Privacy GNU Privacy Guard – replacement for PGP OpenSSL – library for applications that provide secure communications over computer networks NaCl (software) – crypto library Libsodium – fork of NaCl VeraCrypt – disk encryption software forked from TrueCrypt LUKS – standard for disk encryption on Linux systems Nym (mixnet) – mix network that uses noise and random packet timing for obfsucation, overlay network for NymVPN Tor (network) – free overlay network for enabling anonymous communication Tails (operating system) – security-focused Linux distro using Tor by default Signal (software) – secure messaging app Off-the-Record Messaging – protocol for secure instant messaging GPGTools – macOS suite for GnuPG-based encryption Aircrack-ng – Wi-Fi security auditing tool BackTrack – predecessor to Kali Linux Burp Suite Community Edition – security assessment and penetration testing of web applications Ghidra – software reverse engineering suite developed by the NSA Hashcat – password recovery utility High Orbit Ion Cannon – DDoS hping3 — packet crafting and network penetration-testing utility Hydra (software) – login cracker supporting numerous protocols John the Ripper – password cracking tool Kali Linux – penetration testing Linux distribution Metasploit Project – framework for developing and executing exploit code Netcat – network utility for reading/writing data across networks Nikto (vulnerability scanner) – web server vulnerability scanner Nmap – network scanning, port scanner, and auditing tool OpenSSH – implementation of the SSH protocol Radare2 – reverse engineering framework Snort (software) – network intrusion detection system sqlmap – automated SQL injection and database takeover tool Suricata (software) – network threat detection engine Volatility (memory forensics) – memory forensics framework for incident response Wireshark – network protocol analyzer YARA – tool to identify and classify malware qBittorrent – BitTorrent client Transmission (BitTorrent client) – lightweight BitTorrent client IPFS – InterPlanetary File System for decentralized storage and sharing RetroShare – secure communication platform with file sharing Zerocoin – privacy-focused cryptocurrency protocol Zcash – cryptocurrency based on Zerocoin using zk-SNARKs Monero – privacy-focused cryptocurrency using ring signatures NYM — Nym mixnet privacy- and security-focused token Tornado Cash — Cryptocurrency tumbler ClamAV – cross-platform antimalware toolkit written in C and C++, able to detect many types of malware including viruses ClamWin – antivirus tool for Windows and written in C, C++ Lynis – security audit tool (set of shell scripts) for Unix and Linux Bouncy Castle GnuPG GnuTLS KGPG NaCl OpenSSL Seahorse Signal stunnel TextSecure wolfCrypt 7-Zip Snort – network intrusion detection system (IDS) and intrusion prevention system (IPS) Suricata – network threat detection engine OpenVAS – software framework of several services and tools offering vulnerability scanning and vulnerability management Nmap – network scanner, port scanner, and security auditing tool Nikto – web server vulnerability scanner Volatility – memory forensics framework for incident response Cyberduck – macOS and Windows client (since version 4.0) Lsh – server and client, with support for SRP and Kerberos authentication OpenSSH – client and server PuTTY – client-only Apache Cassandra – NoSQL database from Apache Software Foundation offers support for clusters spanning multiple datacenter Apache CouchDB – NoSQL database from Apache Software Foundation with multi-master replication MariaDB – community-developed relational database management system with pluggable storage engines and commercial support PostGIS – adds support for geographic objects to the PostgreSQL as per Open Geospatial Consortium (OGC) PostgreSQL – relational database management system emphasizes on extensibility and SQL compliance and available for Windows, Linux, FreeBSD, and OpenBSD ATutor – web-based Learning Content Management System (LCMS) Canvas LMS – web-based, open, extensible learning management system Chamilo – web-based e-learning and content management system Claroline – collaborative Learning Management System DoceboLMS – SAAS/cloud platform for learning eFront – icon-based learning management system H5P – framework for creating and sharing interactive HTML5 content IUP Portfolio – educational platform for Swedish schools ILIAS – web-based learning management system (LMS) Moodle – learning management system OLAT – web-based Learning Content Management System Omeka – content management system for online digital collections Sakai Project – web-based learning management system SWAD – web-based learning management system Kiwix – offline web browser that allows users to download Wikipedia's entire content and use it for offline learning. Later it was expanded with repositories for Wikimedia Foundation, public domain texts from Project Gutenberg, many of the Stack Exchange sites, and other resources OpenStreetMap – OpenStreetMap was developed in 2004. It uses Open data and users data input through Crowdsourcing and Web mapping to create a complete and downloadable alternative to other online maps.

This allow users to enter data when there is no data available due to lack of governance and economic interest or due to lower population of the places mapped Advanced Simulation Library ASCEND Calcpad Calculix CHEMKIN – chemical kinetics COCO simulator – chemical process simulator CP2K – quantum chemistry and solid-state physics DWSIM – chemical process simulator General Mission Analysis Tool (GMAT) – space mission analysis GNU Octave – numerical-analysis GROMACS – simulations of proteins, lipids, and nucleic acids JSBSim – flight dynamics engine LAMMPS – Molecular dynamics Open Babel – chemical informatics OpenModelica – chemical process simulator OpenSees – earthquake engineering OpenVSP – parametric aircraft geometry tool Pyomo – mathematical optimization QBlade – wind turbine design and aerodynamic simulation software REFPROP – reference Fluid Thermodynamic and Transport Properties XFOIL – analysis of subsonic isolated airfoils .apng – Animated Portable Network Graphics .avif – AV1 Image File Format .bpg – Better Portable Graphics .exr – OpenEXR .fits – Flexible Image Transport System primarily for Astronomy .flif – Free Lossless Image Format .gif – Graphics Interchange Format .iff / .lbm – InterLeaved BitMap .jng – JPEG Network Graphics .jpg or .jpeg – Joint Photographic Experts Group .jxl – JPEG XL .mng – Multiple-image Network Graphics .miff / .mi – Magick Image File Format .pam, .pbm, .pgm, .ppm, .pnm – Netpbm file formats .pgf – Progressive Graphics File .png – Portable Network Graphics .qoi – Quite OK Image Format .tiff – Tag Image File Format .wbmp – Wireless Application Protocol Bitmap Format .webp .xbm – X BitMap .xcf – GIMP .xpm – X PixMap .adoc – AsciiDoc .epub – ebook format .latex – LaTeX, macro package built on top of TeX for simplification .md – Markdown .odt – OpenDocument .rtf – Rich Text Format .tex – high-quality typography for mathematical notation, physics, chemistry, engineering/scientific notation .texinfo 1DayLater – invoicing software GnuCash – double-entry book-keeping HomeBank – personal accounting software KMyMoney – double-entry book-keeping LedgerSMB – double-entry book-keeping RCA open-source application – management accounting application SQL-Ledger – double-entry book-keeping TurboCASH – double-entry book-keeping for Windows Bitcoin – blockchain platform, peer-to-peer decentralised digital currency Ethereum – blockchain platform with smart contract functionality CiviCRM – Constituent Relationship Management software aimed at charities and NGOs iDempiere – business Suite, ERP and CRM SuiteCRM – web-based CRM 2. System Architecture & Core Working Principles Adempiere – Enterprise resource planning (ERP) business suite Apache OFBiz – suite of enterprise applications from Apache Software Foundation Compiere – ERP solution automates accounting, supply chain, inventory, and sales orders Dolibarr – web-based ERP system ERPNext – web-based ERP system for managing accounting and finance ERP5 – Single Unified Business Model based system written with Python and Zope iDempiere – fully navigable on PCs, tablets and smartphones driven only by a community of supporters JFire – ERP business suite written with Java and JDO LedgerSMB – double entry accounting and ERP system written with Perl metasfresh – ERP Software Odoo – ERP, CRM and CMS Openbravo – web-based ERP Tryton – ERP MAME – multi-platform emulator for arcade game systems Mednafen – multi-platform emulator MESS – multi-platform emulator RetroArch – cross-platform front-end for emulators, game engines and video games Snes9x – Super Nintendo emulator Stella – Atari 2600 emulator PCSX – PlayStation emulator PCSX2 – PlayStation 2 emulator PPSSPP – PlayStation Portable emulator Project64 – Nintendo 64 emulator RPCS3 – PlayStation 3 emulator Dolphin (emulator) – GameCube and Wii emulator Citra (emulator) – Nintendo 3DS and Wii emulator Cemu – Wii U emulator TIC-80 – virtual machine game engine that mimics the 8-bit systems of the 1980s QGIS – cross-platform desktop geographic information system (GIS) application to view, edit, and analyse geospatial data ADMB Euler Math Toolbox FreeMat GNU Data Language GNU MCSim GNU Octave J Julia Owl Scientific Computing Perl Data Language S-Lang Scilab Yorick Blender Game Engine – discontinued 2019 Godot – application for the design of cross-platform video games MonoGame – C# framework Open3DEngine – based on Amazon Lumberyard Stride – (prev. Xenko) 2D and 3D cross-platform game engine originally developed by Silicon Studio Amavis – email content filter Claws Mail – email Client Fetchmail – email Retrieval Geary – email client based on WebKitGTK+ GNUMail – cross-platform email client Hula – discontinued mail and calendar project K-9 Mail – Android Email Client MailScanner – email security system MH Message Handling System – email Client Modest – email Client Mozilla Mail & Newsgroups – email Client that was part of the now discontinued Mozilla Application Suite Mozilla Thunderbird – email, news, RSS, and chat client POPFile – cross-platform mail filter Proton Mail – app and web-based end-to-end encrypted e-mail evolved to become FOSS Roundcube – web-based IMAP email client Sylpheed – email and News Client Sympa – MLA software I2P – anonymous network layer (implemented as a mix network) that allows for censorship-resistant, peer-to-peer communication OnionShare – file sharing app using Tor network Popcorn Time – multi-platform media player qBittorrent – BitTorrent client Transmission – BitTorrent client Deluge – BitTorrent client BSD – FreeBSD, OpenBSD, NetBSD, GhostBSD, TrueNAS, MidnightBSD, DragonFly BSD, OPNsense, pfSense, XigmaNAS, among others. GrapheneOS – Privacy- and security-focused, Android-based mobile operating system Kali NetHunter Linux – Debian, Ubuntu, Manjaro, Fedora, openSUSE, antiX, NixOS, Kali, Alpine, Tails, Mageia, Slackware, Gentoo, BlackArch, among others (List of Linux distributions). LineageOS – Android-based operative system for tablets and mobile phones GNU Hurd Mobian Nura Plasma Mobile PureOS Ubuntu Touch Redox OS FreeDOS – OS compatible with IBM PC DOS and Microsoft's MS-DOS ReactOS – OS intended to run the same software as Windows, originally designed to simulate Windows NT 4.0, later aiming at Windows 7 compatibility. It has been in the development stage since 1996.

AppleWin DOSBox – DOS programs emulator (including PC games) GNOME Boxes Hercules (emulator) Kernel-based Virtual Machine (KVM) QEMU VirtualBox – hosted hypervisor for x86 virtualization DTrace – dynamic tracing framework for analyzing and troubleshooting running applications and operating systems Memtest86 – stress-tests RAM on x86 machines strace – diagnostic utility for tracing system calls and signals Valgrind – debugging and profiling tool for detecting memory and threading errors Xnee – record and replay tests Acceleo – model-to-text code generator Apache Velocity – Java-based template engine used for code generation Babel – JavaScript transcompiler Bison CodeSynthesis XSD – XML Data Binding compiler for C++ CodeSynthesis XSD/e – validating XML parser/serializer and C++ XML Data Binding generator for mobile and embedded systems Flex lexical analyser – generates lexical analyzers Open Scene Graph – 3D graphics application programming interface OpenSCDP – Open Smart Card Development Platform SableCC – parser generator for Java and .NET SWIG – Simplified Wrapper and Interface Generator for several languages Umple – modeling and programming language with source code generation xmlbeansxx – XML Data Binding code generator for C++ YAKINDU Statechart Tools – Statechart code generator for C++ and Java Apache Flink – stream and batch data processing framework Apache Hadoop – distributed storage and processing framework Apache Mahout – scalable machine learning library Apache Spark – unified analytics engine Dask – parallel computing for analytics in Python ELKI – data analysis algorithms library GNU Octave – numerical computing environment JASP – GUI program for data analytics, data science, and machine learning Jupyter Notebook – interactive computing Keras – neural network library KNIME – data analytics platform Matplotlib – data visualization library MLlib – machine learning library for Apache Spark NumPy – numerical computing library Orange – data mining tool pandas – data manipulation library PyTorch – machine learning and deep learning framework Python R – statistical computing language SageMath – mathematics and data analysis environment SciPy – scientific computing library scikit-learn – Python machine learning library TensorFlow – machine learning framework WEKA – machine learning and data analysis suite 3G Bridge – grid interoperability Advanced Resource Connector – middleware BOINC – volunteer computing HTCondor – high-throughput computing Simple Grid Protocol – grid computing UNICORE – middleware CP2K – atomistic and molecular simulation of solid-state, liquid, molecular, and biological systems Open-source software Open-source license Comparison of file synchronization software § Open-source GNOME Core Applications List of concept- and mind-mapping software § Free and open-source List of formerly proprietary software List of GNU packages List of HDL simulators § Free and open-source simulators List of KDE applications List of open-source hardware projects List of optimization software § Free and open-source software List of public domain projects List of spreadsheet software § Free and open-source software List of Unix commands ipfirewall or ipfw is a FreeBSD IP, stateful firewall, packet filter and traffic accounting facility. ipfw is authored and maintained by FreeBSD volunteer staff members. Its syntax enables use of sophisticated filtering capabilities and thus enables users to satisfy advanced requirements. It can either be used as a loadable kernel module or incorporated into the kernel; use as a loadable kernel module where possible is highly recommended. ipfw was the built-in firewall of Mac OS X until Mac OS X 10.7 Lion in 2011 when it was replaced with the OpenBSD project's PF. Like FreeBSD, ipfw is open source. It is used in many FreeBSD-based firewall products, including m0n0wall and FreeNAS. A port of an early version of ipfw was used since Linux 1.1 as the first implementation of firewall available for Linux, until it was replaced by ipchains. A modern port of ipfw and the dummynet traffic shaper is available for Linux (including a prebuilt package for OpenWrt) and Microsoft Windows. wipfw is a Windows port of an old (2001) version of ipfw.

netfilter/iptables, a Linux-based descendant of ipchains NPF, a NetBSD packet filter PF, another widely deployed BSD firewall solution A personal firewall is an essential security component that monitors and controls incoming and outgoing network traffic based on predefined rules. This project implements a Python-based custom firewall designed for individual users and developers who want deeper visibility and control over the network packets traversing their system.

Unlike traditional firewalls, this tool gives real-time packet analysis , rule-based filtering , and a user-friendly graphical interface to add, remove, or manage firewall rules without diving deep into terminal commands or system configurations. Whether you're learning cybersecurity, developing network-aware applications, or looking for a lightweight packet filtering solution—this project provides a great hands-on experience.

The core of the firewall. It uses Scapy to sniff network packets in real time and checks them against rules from rules.json . Based on the match, it allows or blocks packets and logs the activity. Handles all logging functionality. Every packet decision (ALLOW or BLOCK) is logged in logs.txt with timestamp and details. Provides optional integration with Linux's iptables to block or allow traffic at the system level.

Contains all firewall rules in JSON format. These rules define which packets to allow or block. This personal firewall project blends the power of packet sniffing, rule-based filtering, and user-friendly design into a compact security tool. Whether you're a beginner exploring cybersecurity or a developer seeking control over network traffic, this project offers a practical and educational solution.

A lightweight Python-based personal firewall that filters network traffic based on user-defined rules. This project includes real-time packet sniffing, logging of suspicious packets, and a simple graphical user interface (GUI) for live traffic monitoring. It is designed to run on both Windows and Linux platforms. personal_firewall/ III main.py # GUI application entry point III packet_sniffer.py # Packet capture and filtering III rule_engine.py # Firewall rule evaluation III logs/ I III suspicious.log # Log file for flagged packets III README.md # Project documentation Run the firewall GUI using: This will open the GUI window and begin sniffing packets on the default interface. You can modify packet_sniffer.py to change interfaces or rule behavior.

3. Software Implementation, Frameworks & Protocols You can define firewall rules in rule_engine.py . Rules can allow or block packets based on: All packets that are flagged as suspicious or blocked are logged in logs/suspicious.log for audit purposes. A cross-platform personal firewall built with Python that monitors network traffic, applies custom filtering rules, logs suspicious activity, and provides a live GUI for real-time analysis. Features include packet sniffing, IP/protocol filtering, and optional system-level enforcement.

Basic knowledge of Python programming. Python 3 installed on your system. scapy library for packet manipulation (install using pip install scapy). Administrative privileges on your machine to run network commands. A firewall acts as a barrier between your home network and the internet. It filters incoming and outgoing traffic based on predefined security rules. Firewalls can block malicious traffic and allow legitimate traffic, providing a layer of security.

2. Define Packet Filtering Rules You can create a list of filtering rules based on IP addresses, protocols, and ports. Here’s a basic example: 3. Packet Sniffing and Filtering Using scapy, you can sniff packets and apply the filtering rules: 4. Running the Firewall To run your firewall, save the script as simple_firewall.py and execute it with administrative privileges: 5. Testing the Firewall You can test your firewall by trying to ping the allowed and blocked IP addresses. Check the console output to see if the packets are allowed or blocked according to your rules.

Limitations and Considerations This simple firewall is just a basic implementation for educational purposes. Some limitations include: No Stateful Inspection: This firewall does not maintain connection states. Limited Rule Complexity: It can only filter based on IP addresses, and adding more complex rules requires additional coding. Performance: Python may not handle high traffic volumes efficiently compared to dedicated firewall solutions.

Creating a personal system security tool in Python involves multiple aspects such as firewall protection , malware detection , and performing basic system scans (including checking for vulnerabilities). This is a large-scale project that touches various security domains, and while Python is not typically used for low-level system security (since it requires administrative access and kernel-level interactions), you can create a framework that provides some protection and scans for common security issues.

Here's a simplified approach to building a personal system security tool with these key features: Firewall : Use iptables or ufw for firewall management. In Python, we can control these tools using system commands. Malware Detection : We can scan the system for known malware signatures using libraries such as os, shutil, and file hashing. Vulnerability Checks : This can include scanning for outdated packages, insecure configurations, or weak passwords.

Linux-based OS (because we’ll rely on system tools like iptables for firewall management). Root Privileges : Required for firewall changes and scanning system directories. Python Libraries : os, shutil, hashlib, psutil, subprocess to interact with the system. Below is a Python script that combines basic firewall management, malware detection (file scanning), and some basic vulnerability checks.

Blocks specific IPs (Layer 3 Network Level). The setup_firewall_block() function adds IPs to a firewall rule via iptables. To block IPs effectively, you need root privileges. The reset_firewall() function clears any existing iptables rules. Scans system files for known malware file hashes . The malware hashes list can be expanded to match real-world malware signatures. The code uses the MD5 hash of files to detect matches. The scan_for_malware() function traverses the file system starting from / (root) and checks files against a predefined list of known malware hashes.

Scans the system for outdated packages via the apt list --upgradable command (Linux systems like Ubuntu/Debian). You can replace this with the appropriate command for other systems, such as yum for CentOS or pacman for Arch Linux. The check_suspicious_processes() function checks for potentially malicious processes by looking for common tool names (e.g., wget, curl, bash), which may indicate an active attack or a backdoor.

Scans for sensitive files like /etc/shadow, /etc/passwd, and /etc/sudoers, which may reveal user information or allow privilege escalation if compromised. Looks for weak or missing passwords in the /etc/shadow file. If the password hash length is unusually short (1 character), this may indicate an empty or weak password.

Running as Root : This script should be run as a user with root privileges (e.g., using sudo) because it interacts with system files, firewall rules, and performs sensitive checks. Adjust Malware Signatures : Update the MALWARE_HASHES list with real-world malware hashes or use more sophisticated malware signature databases. Extend with More Features : This is a basic security framework. You could extend it to include additional checks, such as file integrity monitoring, network activity monitoring, or using third-party malware databases.

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The Personal Firewall Security Dashboard is a cybersecurity-focused application developed using Python. The project demonstrates fundamental firewall management and network monitoring concepts while providing a simple and user-friendly interface for managing security rules. A Python-based Personal Firewall that monitors network traffic, applies IP and port filtering rules, logs suspicious activities, and provides a user-friendly interface for traffic analysis and security monitoring.

I Personal Firewall using Python This project is part of the Elevate Labs Internship Program. It is a lightweight CLI-based personal firewall built using Python to monitor and block network connections based on defined IP and port rules. I Project Objective To develop a lightweight firewall that monitors real-time network connections and blocks suspicious traffic based on custom IP and port rules. This project helps understand system-level traffic monitoring, rule-based filtering, and basic security logging using Python.

I License This project is licensed under the MIT License. Feel free to use, modify, and distribute it with attribution. Personal Firewall is a Python-based cybersecurity project which simulates a simple Firewall. It also provides the ability to see which connections are being received by the port, to setup predefined security rules, log blocked traffic, and create security reports.

The project illustrates the concepts of packet filtering, access control, logging and security monitoring and also shows the basic concepts of firewalling. Firewall rules are saved in a JSON configuration file ( rules.json ), and are not hardcoded in the source code, allowing for editing without modifying the source.

Clone this repository Navigate to the project folder: cd Building_a_Personal_Firewall Run the application: python main.py A Python-based personal firewall simulation with port filtering, logging, statistics, and security reporting. Personal Firewall using Python Objective Develop a lightweight personal firewall that filters network traffic based on customizable rules.

Project Structure graphql Copy Edit personal_firewall/ III firewall.py # Main logic for packet sniffing and blocking III gui.py # Optional Tkinter GUI for managing rules III rules.json # Rule definitions (IPs, ports, protocols) III firewall_log.txt # Log of blocked/suspicious packets III README.md # This file How to Run Rule Format (rules.json) json Copy Edit { "block_ips": ["192.168.1.100"], "block_ports": [23, 445], "block_protocols": ["ICMP"] } You can manually edit this file or use the GUI to modify it.

Log File All blocked or suspicious packets are saved in firewall_log.txt with timestamp and reason. Disclaimer This firewall is for educational use. It should not be used as a substitute for professional firewall software in production environments. A custom **Personal Firewall application developed using Python** for managing Windows Firewall rules and monitoring active network connections. The project provides a simple command-line interface to perform common firewall management and network monitoring tasks.

This project demonstrates how Python can be used to interact with the **Windows Defender Firewall** through Windows netsh commands. The application allows users to create and remove firewall rules, block specific ports and IP addresses, block applications such as Google Chrome, monitor active network connections, and maintain a firewall activity log.

5. Performance Evaluation & Extended Technical Observations **Note:** This project is designed for educational purposes and runs on Windows systems. Some operations require Administrator privileges. Removes a previously created firewall rule to allow traffic through the selected port.

Because the application modifies Windows Firewall rules, open **Command Prompt/PowerShell as Administrator**. * The application should be executed with **Administrator privileges** when modifying firewall rules. This project is created for **educational and cybersecurity learning purposes**. It demonstrates basic interaction with Windows Firewall and network connections. Use it responsibly and only on systems that you own or have permission to administer.

The **Personal Firewall Using Python** project demonstrates how Python can be used to automate basic Windows Firewall management and network monitoring tasks. It provides hands-on experience with **network security, firewall rules, system commands, and Python-based automation**, making it a practical cybersecurity project for learning Packet filtering is a firewall technique used to control network access by monitoring outgoing and incoming packets and allowing them to pass or halt based on the source and destination Internet Protocol (IP) addresses, protocols and ports Firewalls are configured using simple if then rules. In a packet filtering firewall, a rule says: if a pattern based on packet source, destination, protocol, or service is a match THEN take the specified action . Since there are many rules involved, the order of the rules matters. A LOT! Traffic is verified against a rules table in order, top to bottom . Therefore, you must be careful as to how you define your rules and in which order should you place them. Its best to begin very strict and lay off as you go down the table.

NOTE : By default all the traffic Denied!. Empty File makes DEFAULT DENY TRAFFIC. To ALLOW ALLOW command : allow, 192.168.1.100, 0, 192.168.2.100, 0 To DENY DENY command : deny, 192.168.1.100, 0, 192.168.2.100, 0 The logging feature documents how the firewall deals with traffic types. All the logs will be saved in a Log file Basically, This firewall auto detects the interfaces which has attached and then listen to each and every interfaces using the threading module. Interfaces are running on threads to receive and send traffic simultaneously.

If i ping from 192.168.1.100 to 192.168.2.100 The 192.168.1.100 sends a packet from interface 1 and the firewall(ubuntu) will unpack the ip header and check for the destination ip address and forward it to the specific Interface. I have disabled the default ip forwarding in my UBUNTU MACHINE using ‘sysctl -w net.all.forwarding = 0’. Furthermore, I tested by blocking the ip address from interface 1 (ip address) to interface 2 (ip address) icmp ping traffic and it successfully Denied . - Python 3.9.2 - Ubuntu 20.10 Virtual Machine. - Extra Virtual Machines for testing. - Four Interfaces with IP configured.

- pip3 install psutil - pip3 install csv - pip3 install threading - pip3 install logging - pip3 install datetime Packet filtering is a firewall technique used to control network access by monitoring outgoing and incoming packets and allowing them to pass or halt based on the source and destination Internet Protocol (IP) addresses, protocols and ports Firewalls are configured using simple if then rules. In a packet filtering firewall, a rule says: if a pattern based on packet source, destination, protocol, or service is a match THEN take the specified action . Since there are many rules involved, the order of the rules matters. A LOT! Traffic is verified against a rules table in order, top to bottom . Therefore, you must be careful as to how you define your rules and in which order should you place them. Its best to begin very strict and lay off as you go down the table.

To ALLOW ALLOW command : allow, 192.168.1.100, 0, 192.168.2.100, 0 To DENY DENY command : deny, 192.168.1.100, 0, 192.168.2.100, 0 The logging feature documents how the firewall deals with traffic types. All the logs will be saved in a Log file Basically, This firewall auto detects the interfaces which has attached and then listen to each and every interfaces using the threading module. Interfaces are running on threads to receive and send traffic simultaneously.

I used UBUNTU 20.10 has my firewall and added 4 interfaces.The 4 interfaces are running on CENT OS LINUX with specified ip addresses. If i ping from 192.168.1.100 to 192.168.2.100 The 192.168.1.100 sends a packet from interface 1 and the firewall(ubuntu) will unpack the ip header and check for the destination ip address and forward it to the specific Interface. I have disabled the default ip forwarding in my UBUNTU MACHINE using 'sysctl -w net.all.forwarding = 0'. Furthermore, I tested by blocking the ip address from interface 1 (ip address) to interface 2 (ip address) icmp ping traffic and it successfully Denied .

- Python 3.9.2 - Ubuntu 20.10 Virtual Machine. - Extra Virtual Machines for testing. - Four Interfaces with IP configured. 3. Dependencies. - pip3 install psutil - pip3 install csv - pip3 install threading - pip3 install logging - pip3 install datetime A lightweight and customizable personal firewall developed using Python. It monitors network traffic in real-time, allows/blocks traffic based on user-defined rules, and supports GUI-based monitoring.

Harvested Online Documentation & Reference Sources • https://en.wikipedia.org/wiki/List%20of%20TCP%20and%20UDP%20port%20numbers • https://en.wikipedia.org/wiki/List%20of%20free%20and%20open-source%20software%20packages • https://en.wikipedia.org/wiki/Ipfirewall • https://github.com/satishkumarvengala/Personal-Firewall-using-Python • https://github.com/AtulKrishna07/personal-firewall • https://dev.to/trixsec/building-a-simple-python-based-firewall-for-home-networks-5d93 • https://www.linkedin.com/pulse/building-personal-system-security-toolkit-firewall-python-pamisetty-bzczc • https://github.com/Shivansh-sec/Personal-Firewall • https://github.com/appsecpen/Personal-Firewall-Elevate-labs • https://github.com/PS-6606/Personal-Firewall_by_PS