netanelcyber / netanelcyber/AdPentestAI-Python

Reporting: Markdown summary reports

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documentation good-first-issue output-formats reporting v1.1.0
Dominant language
Python
Stars
5
Forks
2
Avg merge
22h 25m
Merged PRs (30d)
7

Description

Description

Generate Markdown-formatted summary reports for easy integration with documentation, wikis, and version control.

Report Contents

  1. Header with Metadata

    • Report title and date
    • Target domain/IP
    • Scan duration
    • Framework version
  2. Executive Summary

    • Risk assessment
    • Critical findings
    • Key recommendations
  3. Findings by Category

    • Domain Controller Security
    • Email Service Configuration
    • SMB Share Permissions
    • ADCS Certificate Issues
    • Kerberos Weaknesses
    • Credential Issues
  4. Detailed Findings

    • Unique finding per section
    • Description
    • Impact
    • Remediation steps
    • References/CVEs
  5. Appendix

    • Tools executed
    • Timeline
    • Methodology
    • Assumptions and limitations

Features

  • GitHub-flavored Markdown
  • Table of contents
  • Code blocks for technical details
  • Links to resources
  • CVSS scoring
  • Custom header/footer support

Files to Create

  • adpentest/exporters/markdown_exporter.py
  • templates/report.md.jinja2

Implementation

  • Pure Python string formatting
  • Optional: Markdown validation
  • Support for custom templates

Success Criteria

  • All findings included
  • Proper Markdown formatting
  • Table of contents auto-generated
  • Integrates with GitHub/GitLab wikis
  • Clean rendering without external tools

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by inspecting the existing report and finding data structures before creating adpentest/exporters/markdown_exporter.py and templates/report.md.jinja2. Verify how findings, metadata, CVSS scores, tools, and timeline data are exposed. Done means the generated GitHub-flavored Markdown includes all listed sections, an automatic table of contents, custom template support, and clean rendering without external tools.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
documentation, tooling
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
56/100

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