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2 min read14 weeks

Network Vulnerability Scanner with Automated Reporting

HardBTech CSEMCAMTech CSEBE CSE+1 moreCybersecurityReadymade Available
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A Python-based network vulnerability scanner that performs port scanning, service enumeration, and known vulnerability detection across network hosts. It generates detailed PDF reports with severity ratings and remediation suggestions for system administrators.

Problem Statement

Small and medium businesses often cannot afford enterprise security scanning tools like Nessus or Qualys. Open-source alternatives require significant expertise to configure and interpret results. There is a need for an easy-to-use vulnerability scanner that provides actionable reports in plain language, helping non-expert administrators identify and fix security weaknesses.

Objectives

1

Build a multi-threaded network scanner for fast host discovery

2

Implement port scanning with service and version detection

3

Create a vulnerability database mapping services to known CVEs

4

Generate professional PDF reports with severity classifications

5

Design a web dashboard for scan management and history

Modules

M1

Host Discovery

ARP and ICMP-based host discovery to identify active devices on the network.

M2

Port Scanner

Multi-threaded TCP/UDP port scanner with service fingerprinting and version detection.

M3

Vulnerability Matcher

Match discovered services against a local CVE database to identify known vulnerabilities.

M4

Report Generator

Generate PDF reports with executive summary, detailed findings, risk scores, and remediation steps.

M5

Web Dashboard

Flask-based interface for configuring scans, viewing results, and comparing scan history.

Expected Output

A command-line and web-based tool that scans a given network range, identifies open ports and running services, checks them against known vulnerabilities, and produces a comprehensive PDF report. The report includes a risk summary, detailed findings with CVSS scores, and step-by-step remediation instructions.

Future Scope

Add wireless network scanning, web application vulnerability testing (SQL injection, XSS), compliance checking against standards like PCI-DSS and ISO 27001, scheduled automated scans with email alerts, and integration with ticketing systems for vulnerability tracking.

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Yes, this project includes a detailed problem statement, objectives, and module breakdown that you can use for your college submission. The synopsis PDF we provide is formatted for academic submission.
This project uses: PostgreSQL, Flask, Python. Basic knowledge of these technologies is recommended before starting.