by alexander.hughes

SafeNet Scanner

Cybersecurity

A web-based vulnerability scanner that detects common security weaknesses in web applications, such as SQL injection, cross-site scripting (XSS), and misconfigured security headers.

Project Details

Overview

This web-based vulnerability scanner efficiently identifies common security weaknesses like SQL injection, XSS, and misconfigured headers, providing detailed reports that help teams prioritize remediation. It integrates with popular CI/CD pipelines to enable automated security testing throughout the development lifecycle.

Problem

Small businesses often skip routine security assessments due to high enterprise costs, leaving them vulnerable to cyber threats and undetected data breaches. Investing in affordable, scalable security solutions or managed services can mitigate these risks and ensure business continuity.

Goal

Build a lightweight, cross-platform vulnerability scanner with an intuitive interface that generates actionable reports for both developers and security teams. Ensure the tool supports automated updates to maintain detection accuracy against emerging threats.

Solution

Built a Python scanning engine to identify exposed ports, headers, SSL configurations, and vulnerabilities, featuring automated reporting for actionable security insights. Optimized for speed and scalability across diverse networks while aligning with industry best practices and compliance standards.

Outcome

  • Detects over 30 common security issues.
  • Generates downloadable security reports.
  • Supports scheduled scans.
  • Provides detailed remediation guidance to address identified vulnerabilities.
  • Offers real-time alerts to keep your team informed of critical threats.
  • Integrates seamlessly with existing security workflows for efficient management.

Program

Data Science & Machine Learning

Cohort

May 2026

Submission Date

June 10, 2026

Project Type

Capstone Project

Tools / Softwares

Docker

Flask

Linux

Nmap

Python

Verification

Project is currently under review by NovelTech Academy Teams.

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