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PoC file upload with CVE tagging

Why Choose This Project

File uploads are one of the most common attack vectors for web applications. Malicious files can exploit known vulnerabilities (CVEs) to compromise systems. This project provides a secure platform where uploaded files are automatically scanned, tagged with associated CVEs (Common Vulnerabilities and Exposures), and analyzed for potential exploitation. It is ideal for security teams, penetration testers, and developers aiming to test or secure their applications against known threats.

What You Get

A web-based platform that allows users to upload files in a controlled environment. Each file is analyzed for vulnerabilities, associated CVEs are identified, and detailed reports are generated. Administrators can track potential risks, view CVE severity levels, and ensure proactive mitigation of known threats.

Key Features

Feature Description
User Authentication Secure login for admins and testers to manage file uploads and reports
Secure File Upload Files are sandboxed and scanned for known vulnerabilities
CVE Tagging Automatically tags uploaded files with relevant CVEs using a vulnerability database
Severity Scoring CVEs are scored by severity (low, medium, high, critical)
Reporting & Logs Generate detailed reports of uploaded files and associated CVEs
Alert System Notifies admins of high-risk CVEs detected in uploaded files
Dashboard Visualization Graphs and charts showing distribution of CVEs, severity, and trends
Optional API Integration Integrate CVE tagging results with vulnerability management tools

Technology Stack

Layer Technology
Frontend Layer HTML, CSS, JavaScript, Bootstrap for responsive UI
Backend Layer Node.js (Express) / Java Spring Boot / Python Flask
Database Layer MongoDB / MySQL / PostgreSQL for storing upload logs and CVE metadata
File Analysis Layer Static and dynamic analysis tools; CVE databases (NVD, CVE API)
Security Layer HTTPS, JWT / OAuth2 for authentication
Optional Libraries & APIs VirusTotal API, ClamAV, Python security libraries, Cron jobs for automated scanning

Working Flow

  1. User Uploads File – Admin/tester uploads a file to the platform in a sandboxed environment.

  2. File Analysis – System scans the file using static/dynamic analysis to detect potential vulnerabilities.

  3. CVE Tagging – Identified vulnerabilities are matched against known CVEs from a database like NVD.

  4. Severity Assessment – Each CVE is scored by severity (low, medium, high, critical) for risk prioritization.

  5. Reporting – Generate detailed reports showing file, detected vulnerabilities, CVE IDs, and risk scores.

  6. Alert & Dashboard – Admins are notified of high-severity vulnerabilities; dashboard visualizes CVE trends.

  7. Audit Logging – All uploads, analyses, and alerts are logged for compliance and tracking.

Main Modules

  • Authentication Module → Secure login for users and admins

  • File Upload Module → Handle uploads securely and sandbox files

  • Vulnerability Analysis Module → Scan files for known security flaws

  • CVE Tagging Engine → Map detected vulnerabilities to CVE database entries

  • Alert & Notification Module → Notify admins of critical CVEs

  • Reporting Module → Generate detailed reports and analytics

  • Dashboard Module → Visual representation of CVE trends, severity, and counts

  • API Module → Optional integration with vulnerability management systems

Security Features

  • HTTPS-secured portal and API endpoints

  • JWT/OAuth2 authentication for secure access

  • Sandbox environment for file uploads to prevent server compromise

  • Audit logs to track uploads, detections, and alerts

  • Real-time notifications for high-risk CVE detections

  • Input validation and file type restrictions to prevent malicious uploads

This Course Fee:

₹ 2499 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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