Dark-Moon

MCP server · GitHub · ★ 1.2k · graded 2026-10-19Source linked

Open-source autonomous AI penetration testing. 50 specialist agents across web, API, cloud, Active Directory, Kubernetes, CI/CD and AI/LLM (OWASP LLM Top 10). Runs on a local LLM behind a Privacy Gateway. Integrates with GitHub, GitLab, Jenkins, VS Code, JetBrains, n8n, Grafana & Splunk.

No outside reports on file

Dark-Moon runs shell or system commands and reads and writes local folders; restrict its folder reach, network access, and credentials before installing.

Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesReads & writes local foldersREVIEW
  • Command executionRuns shell or system commandsREVIEW
  • Network reachConnects to outside service APINOTED
  • CredentialsRequires API key or tokenREVIEW
  • Package sourceGitHub (ASCIT31/Dark-Moon)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/ASCIT31/Dark-Moon ↗

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-19.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Dark-Moon

Dark-Moon is an MCP server focused on Developer tools and Web & browsing: Open-source autonomous AI penetration testing. 50 specialist agents across web, API, cloud, Active Directory, Kubernetes, CI/CD and AI/LLM (OWASP LLM Top 10). Runs on a local LLM behind a Privacy Gateway. Integrates with GitHub, GitLab, Jenkins, VS Code, JetBrains, n8n, Grafana & Splunk.

It is hosted on GitHub at ASCIT31/Dark-Moon (1,140 GitHub stars). Based on its public metadata, its operational scope includes: reads & writes local folders, runs shell or system commands, connects to outside service api.

Setup

Check these steps against the project’s own instructions before running anything.

No standalone npm or PyPI package is listed for this MCP server. Clone and inspect the source repository directly:

bash
git clone https://github.com/ASCIT31/Dark-Moon.git

Review the README and source files in https://github.com/ASCIT31/Dark-Moon (opens external site) before running any setup commands.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): well starred on GitHub, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

33/100
GitHub stars
1.2k
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • Command execution reach: Public metadata indicates shell, terminal, or container command execution. Run inside an isolated container or VM and require human approval before executing commands.
  • Local folder write access: Can create, edit, or delete files on disk. Restrict its working directory to a dedicated project folder and never mount home or credential directories.
  • External API & account scope: Connects to third-party service APIs. Use a dedicated, least-privilege token scoped only to the workspaces or repositories this tool needs.
  • Dependency & version pinning: Distributed via GitHub (ASCIT31/Dark-Moon). Pin an exact release version or commit SHA rather than floating tags so upstream updates are reviewed first.

How to lower the risk

Least-privilege permissions

  • Give it access only to the specific folders, accounts or projects it needs, never your whole drive or admin account.
  • Use a separate, limited API key or login just for this tool so you can switch it off without affecting anything else.

Network isolation

  • Run it on a work computer or sandbox account, not one holding personal or company-sensitive data.
  • If your IT team can, limit which websites and services it is allowed to contact.

Monitoring

  • Check its activity history or logs weekly at first, and look at what it changed or sent.
  • Turn on alerts for new logins or unusual usage on any account it connects to.

Red flags to watch for

  • It asks for more access than its job requires, or prompts you to paste passwords.
  • It suddenly updates with new owners, or starts contacting unfamiliar websites.

Questions

How do I install Dark-Moon?

Dark-Moon does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/ASCIT31/Dark-Moon.

Are there security reports about Dark-Moon?

No reports found for this package in our research (last checked 2026-10-30). Dark-Moon currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include command execution reach:, local folder write access:, external api & account scope:.

Is Dark-Moon actively maintained?

Dark-Moon has 1.2k GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/ASCIT31/Dark-Moon before pinning it in production.

What are alternatives to Dark-Moon?

You can compare Dark-Moon side by side with other GitHub, GitLab, Kubernetes MCP servers in the Related tools section on this page, or use the Compare tool on AgentArmorHQ.

README badge and team notes

Maintain or use Dark-Moon? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Dark-Moon

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Dark-Moon](https://agentarmorhq.com/api/badge/ascit31-dark-moon)](https://agentarmorhq.com/skills/ascit31-dark-moon)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/ascit31-dark-moon"><img src="https://agentarmorhq.com/api/badge/ascit31-dark-moon" alt="AgentArmorHQ Risk Grade for Dark-Moon" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "ascit31-dark-moon"

Share with your security lead

Need sign-off to use Dark-Moon? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: Dark-Moon
- **Listing URL:** https://agentarmorhq.com/skills/ascit31-dark-moon
- **Type:** App connector
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 1.2k GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** Reads & writes local folders
- **Command execution:** Runs shell or system commands
- **Network reach:** Connects to outside service API
- **Credentials:** Requires API key or token
- **Package source:** GitHub (ASCIT31/Dark-Moon)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/ASCIT31/Dark-Moon
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 19, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
App connector
Publisher
ASCIT31
Source code
github.com/ASCIT31/Dark-Moon
Est. context load
~1.3k tokens / turn (~7 tool schemas, 0.63% of 200k context)
Popularity
1.2k GitHub stars
Last updated
2026-10-29
Last graded
2026-10-19

Community

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