Vapt report pdf

Skill bhuvangupta/vapt-claude/skills/vapt-report-pdf

Full-spectrum web application VAPT skill for Claude Code, OpenCode, Codex CLI & Gemini CLI — from reconnaissance to exploitation to remediation reporting

Install

npx -y skills add bhuvangupta/vapt-claude --skill vapt-report-pdf

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One thing to look at

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SKILL.md

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PDF Report Generation

When Invoked

The user runs /vapt report-pdf <url>.

Prerequisites

Python 3.8+
reportlab package installed (pip install reportlab)
VAPT output files in the current directory (ideally run /vapt report first)

Behavior

Generate a professional PDF report from VAPT findings using the scripts/vapt_report_pdf.py script.

Phase 1: Data Collection

Same as vapt-report -- scan for all VAPT output files, parse findings, calculate scores.

Phase 2: PDF Generation

2.1 Compile Report Data

Assemble a JSON structure with all report data:

{
    "target": "example.com",
    "date": "2026-03-19",
    "tester": "...",
    "authorization": "Pentest engagement",
    "overall_score": 42,
    "overall_rating": "Poor",
    "categories": [
        {"name": "Injection", "weight": 20, "score": 15, "findings_count": {"critical": 2, "high": 1}},
        ...
    ],
    "findings": [
        {
            "id": "FINDING-001",
            "title": "SQL Injection in /api/users",
            "severity": "Critical",
            "cvss_score": 9.8,
            "cvss_vector": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H",
            "cwe": "CWE-89",
            "owasp": "A03:2021",
            "url": "/api/users?id=1",
            "parameter": "id",
            "description": "...",
            "steps": ["..."],
            "impact": "...",
            "remediation": "..."
        },
        ...
    ],
    "scope": {"in_scope": [...], "out_of_scope": [...]},
    "tools_used": [...]
}

2.2 Run PDF Script

python3 <skills_dir>/scripts/vapt_report_pdf.py --input report_data.json --output VAPT-REPORT.pdf

2.3 PDF Structure

The PDF report includes:

Cover Page:

"Vulnerability Assessment & Penetration Test Report"
Target URL
Date
Authorization reference
Confidentiality notice

Table of Contents:

Auto-generated with page numbers

Executive Summary (Page 1-2):

Security Posture Score gauge (visual, color-coded)
Finding count by severity (bar chart)
Category score breakdown (radar chart or table)
Top 3 risks highlighted
Key recommendations

Findings Detail (Page 3+):

One finding per section
Color-coded severity badge
CVSS score with visual indicator
Full details: description, steps, evidence, impact, remediation

Category Breakdown:

Score per category with visual bar
Finding count per category

Remediation Priority Matrix:

Color-coded priority table
Timeline recommendations

Methodology & Scope:

Testing approach
Tools used
Scope boundaries

Appendix:

CVSS reference
Glossary

2.4 Visual Design

Color scheme:

Critical: #DC2626 (red)
High: #EA580C (orange)
Medium: #CA8A04 (yellow)
Low: #2563EB (blue)
Info: #6B7280 (gray)
Pass/Good: #16A34A (green)

Score gauge:

Circular gauge showing 0-100 score
Color changes based on rating band
Rating text below gauge

Charts:

Severity distribution bar chart
Category scores horizontal bar chart

Phase 3: Output

Terminal Output

Generating PDF report...
  Collected findings from 8 scan files
  Calculated Security Posture Score: 42/100 (Poor)
  Generated 23-page PDF report

Output: VAPT-REPORT.pdf

VAPT-REPORT.pdf

Professional PDF saved to the current directory.

Error Handling

If reportlab is not installed:

PDF generation requires the reportlab Python package.
Install: pip install reportlab

Alternatively, generate a Markdown report: /vapt report <url>