PenPeeper vs w3af

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.

w3af is a free, open-source web application security scanner for vulnerability assessments and penetration tests. It can identify more than 200 vulnerabilities, including cross-site scripting, SQL injection, and OS command injection. Its workflow starts with crawler plugins that find URLs and injection points, continues with audit plugins that check for vulnerabilities, and can use attack plugins to exploit findings. Other plugin types cover infrastructure detection, request and response analysis, output, brute force, request modification, and evasion.

Users can scan and analyze results in a GTK graphical interface or a console. Web application payloads can interact with Metasploit when an exploit provides exec() capability. Developers can use the REST API from development languages and run it in Docker; scripts and the API also support automation. The project documents Linux and macOS installation, including running in Docker without installing w3af dependencies. It is available for Linux, macOS, web, API, and self-hosted deployment. REST API traffic over HTTP is unencrypted, so the documentation recommends added protection such as an SSL proxy for publicly reachable deployments.