
pwndoc is an open-source web application that lets authorized pentest teams collaboratively author findings, manage reusable vulnerability data, and generate customizable Docx reports.
| Tool | pwndoc/pwndoc — open-source pentest reporting application with multi-user collaboration and Docx report generation (~2.9k stars, MIT license) |
| Category | Security reporting and audit documentation platform (JavaScript) |
| Primary Use | Writing findings, managing reusable Vulnerabilities data, and generating templated Docx reports during authorized penetration tests and security audits |
| Safe Use | Entirely a documentation tool: used by authorized consultants and internal security teams to report on engagements they are contracted to perform; it contains no exploitation capability |
| Telemetry Note | As a self-hosted reporting platform it leaves no footprint on client networks; defenders should note that compromise of a pwndoc instance exposes engagement findings, mitigated by its TOTP two-factor authentication, encrypted backups, and granular role permissions |
pwndoc answers a question every consulting team eventually faces: why does report writing consume more hours than the testing itself. The project's tagline — more time to Pwn, less time to Doc — captures its thesis, which is that the documentation phase of an engagement should be a collaborative, data-driven exercise rather than a per-tester silo of copy-pasted Word files. It is a full web application, written in JavaScript, published under the MIT license, and hosted at pwndoc/pwndoc where it has accumulated roughly 2.9k stars — strong evidence that the pain point it addresses is widely shared across the industry.
The core architectural idea is data mutualization. Instead of each consultant maintaining a private library of finding descriptions, pwndoc treats vulnerabilities as first-class shared entities that live in a central repository. When a tester adds a finding to an audit, they draw on this shared pool, extend it with custom fields, and attach CVSS v3 and CVSS v4 scoring. The result is that the second time a team encounters the same misconfiguration, the writeup, remediation guidance, and severity rationale are already institutional knowledge rather than tribal memory. Over time this compounds into a genuine quality moat: junior testers inherit the phrasing and rigor of senior ones automatically.
The README is unusually explicit about the feature surface, and several items stand out as enterprise-grade rather than hobbyist. Multi-user reporting ships with real-time collaboration, meaning two consultants can work on the same audit simultaneously — the demos folder includes animated walkthroughs of the audit authoring, vulnerability workflow, and collaboration review flows. There is a formal audit review and approval workflow, plus threaded audit comments, which maps cleanly onto the four-eyes review model most compliance frameworks expect. Retest and multi-audit workflows are supported natively, which matters for teams running annual retests against the same client scope.
Report generation targets Docx output built from customizable Docx templates, documented under the Templating section of the official docs site. This is the right call for a reporting tool: clients and their procurement departments overwhelmingly expect Word documents, and template customization means each consultancy can enforce its own branding, legal boilerplate, and section ordering without forking the application. Custom sections and custom fields on vulnerabilities extend this further, accommodating clients whose report schemas deviate from whatever the maintainers imagined as the default.
One of the more modern additions is AI-assisted writing with configurable prompts, supporting OpenAI, Anthropic, DeepSeek, Ollama, and AWS Bedrock as providers. The inclusion of Ollama is noteworthy from a confidentiality standpoint: consulting firms handling sensitive engagement data can route AI assistance through a locally hosted model rather than a third-party API, keeping finding descriptions and client names entirely on-premises. The provider list spanning both cloud and local options suggests the maintainers understood that different teams have very different data-handling constraints.
Quality assurance is treated as a first-class feature, not an afterthought. The README advertises QA review of both audits and vulnerability templates, with built-in checks alongside AI checks. Anyone who has run a report factory knows the failure modes this targets: inconsistent severity language, orphaned placeholders, remediation text that contradicts the finding description. Mechanizing that review pass, and applying it to the shared vulnerability library as well as individual audits, directly improves the consistency of the deliverable clients receive. A spellcheck and grammar layer via LanguageTool, with support for custom rules, reinforces the same goal.
Operational resilience features indicate the tool is meant for daily production use rather than occasional side projects. Automatic recovery for unsaved work protects against the browser tab crash ten minutes before a deadline. Backup and restore supports encryption and selective restore, which is exactly what you want when migrating between instances or restoring after an incident without resurrecting stale data. Two-factor authentication via TOTP and a system of custom roles with granular permissions round out the security posture of the platform itself — a nontrivial consideration, since a pwndoc instance is effectively a consolidated database of every vulnerability a consultancy has ever found across its client base.
That last point deserves emphasis in any honest analysis. pwndoc is not an attack tool; it touches no client systems and generates no traffic toward targets. It is pure documentation infrastructure for authorized work. But the concentration of engagement data it creates makes the instance itself a high-value asset, and defenders on blue teams should think of it that way: restrict network exposure, enforce the TOTP requirement, use the granular roles to limit who can export or decrypt backups, and monitor access to the audit API. The encrypted backup feature is only a control if the encryption keys are managed with the same discipline as the reports themselves.
Multiple language support and multiple data support round out the feature list, reflecting the realities of international engagements where deliverables must be produced in the client's working language while the internal vulnerability library stays consistent. Combined with the shared-data model, this lets a distributed team maintain one canonical vulnerability description per language rather than N divergent translations scattered across individual reports.
Getting started is straightforward, with installation instructions maintained at the official documentation site under the Installation section, covering both bare-metal and containerized deployments typical of self-hosted Node.js applications. The documentation tree — Data, Roles, Vulnerabilities, Audits, Templating, Settings, Profile — reads as a genuine operations manual, and the animated demos in the repository let a prospective adopter evaluate the audit and collaboration workflows before committing. The project accepts sponsorship through GitHub Sponsors and cryptocurrency donations, which is worth noting only insofar as it signals an active maintainer invested in long-term development.
For teams evaluating reporting platforms, pwndoc occupies a distinctive niche: it is the open-source option that takes collaboration, review workflow, and data reuse as seriously as the commercial players, while the MIT license and self-hosted deployment model keep engagement data entirely under the consultancy's control. The AI writing assistance with local-model support via Ollama is a pragmatic differentiator, and the QA automation addresses the least glamorous but most client-visible part of the job. If your bottleneck is turning findings into polished Docx deliverables, this is one of the most complete answers available in the open-source ecosystem.
pwndoc/pwndoc.Educational analysis for authorized security professionals. Use only in controlled, authorized environments.
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