PenPeeper vs Pentographer

PenPeeper is an open-source penetration-testing engagement manager for security professionals. It organizes projects through Gather, Search, Findings, and Report stages, supporting multiple engagements and clients, device tags, asset filters, and targeted reports. Users can import scans, screenshots, and notes, then export complete projects as encrypted files for sharing or backup. Built-in automation integrates Nmap, Nikto, SearchSploit, WhatWeb, Enum4Linux, FFUF, and SNMP, with configurable scan concurrency. PenPeeper retrieves CVE details, severity scores, and descriptions from the National Vulnerability Database. AI features cover vulnerability hunting, evidence examination, remediation recommendations, and executive-summary generation through local or cloud providers including LM Studio, Ollama, OpenRouter, Claude, Gemini, ChatGPT, and custom providers. Guided templates and customizable summary graphics support PDF reports. The software is free for personal or professional use under its stated license terms, but selling it or hosting it as paid SaaS requires permission or is prohibited. It runs on Linux, macOS, and Windows; Windows requires Windows Subsystem for Linux. Vulnerability testing is passive and flags potential issues for manual review.

Pentographer is an open-source platform for managing security assessments, from findings and evidence through client reports. Findings can carry CVSS scores, risk and status tracking, evidence attachments, version history, and playbook links. Users can build reusable checklists mapped to OWASP, PTES, or their own framework; OWASP Top 10 (2021) is built in. Claude can draft finding descriptions and remediation from tester notes, evidence images, and playbook context, with review required before saving and an Anthropic API key required. Pentographer creates branded reports with customizable templates and executive summaries, exporting to Word and PDF. Team workspaces provide owner, admin, member, and viewer roles, including read-only viewers. A GraphQL API handles projects, findings, and playbooks, while an MCP server supports Claude Desktop, Cursor, and compatible clients. Free cloud and MIT-licensed self-hosted plans are listed; self-hosting requires Node.js 20+ and PostgreSQL.