img

Automated Pentest result converter to PDF

Why Choose This Project

Penetration testing generates large volumes of data, often in raw, unstructured formats. Manually converting these results into readable, professional reports is time-consuming and error-prone. This project automates the process of converting pentest results from scanners and tools into well-structured PDF reports, making it easier for security teams, auditors, and management to review vulnerabilities and take action promptly.

What You Get

A web-based platform that takes raw pentest output files (e.g., from Nessus, OpenVAS, or Nmap), parses and categorizes the results, and generates comprehensive PDF reports. Reports include vulnerability details, risk levels, affected systems, remediation suggestions, and visual charts summarizing findings.

Key Features

Feature Description
User Authentication Secure login for pentesters, admins, and auditors
File Upload Upload raw pentest output files in supported formats (XML, CSV, JSON, etc.)
Result Parsing & Categorization Extract vulnerabilities, affected assets, severity, and CVE information
Risk Scoring Assign risk levels (low, medium, high, critical) to each finding
PDF Report Generation Automatically generate structured PDF reports with tables, charts, and summaries
Dashboard Visualization Graphs and charts summarizing vulnerabilities by severity, type, and host
Export Options Download PDF reports or share via secure email
Audit Trail Track all uploaded results and generated reports

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 uploads, parsing results, and report metadata
PDF Generation Layer jsPDF (Node.js), Apache PDFBox (Java), ReportLab (Python)
Security Layer HTTPS, JWT / OAuth2 for authentication and role-based access
Optional Libraries & APIs Chart.js / D3.js for visualization, Email API (Nodemailer, SendGrid) for sending reports

Working Flow

  1. User Login – Secure authentication for authorized pentesters and admins.

  2. Upload Pentest Results – User uploads raw output files from various pentest tools.

  3. Result Parsing – System reads the file, extracts vulnerabilities, affected hosts, CVE IDs, and severity levels.

  4. Categorization & Risk Scoring – Vulnerabilities are categorized by type and assigned a risk score.

  5. Report Generation – Structured PDF report is generated with tables, charts, and remediation suggestions.

  6. Dashboard Visualization – Overview of vulnerability trends, top risks, and affected systems.

  7. Export & Sharing – PDF reports can be downloaded or emailed securely to stakeholders.

  8. Audit Logging – All uploads, parsing events, and generated reports are logged for accountability.

Main Modules

  • Authentication Module → Secure login and role management

  • File Upload Module → Handle uploads and validate file formats

  • Parsing & Categorization Module → Extract and categorize vulnerabilities from raw results

  • Risk Assessment Module → Assign severity and prioritize remediation

  • PDF Generation Module → Create professional, structured PDF reports automatically

  • Dashboard Module → Visual summary of pentest findings and trends

  • Notification Module → Optional email delivery of generated reports

  • Audit Module → Track uploaded files and generated reports

Security Features

  • HTTPS-secured portal and API endpoints

  • JWT/OAuth2 authentication for secure access

  • Role-based access control to restrict report access

  • Input validation to prevent malicious uploads

  • Audit logs for tracking file uploads, parsing, and report generation

  • Secure storage of raw pentest files and generated PDFs

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:
img
Share this course: