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Tools🔒 Security & PrivacyDark Moon
Dark Moon

Dark Moon

Freemium

Autonomous AI penetration testing with 18 agents & 80+ integrated tools.

By Tanmay Verma, Founder · Last verified 03 Jul 2026

0 views
Added 6d ago
77/100Safe Bet
Visit Website

In short

Dark Moon — Autonomous AI penetration testing with 18 agents & 80+ integrated tools. Best for Professional penetration testers performing deep, multi-layer assessments, Red teams needing continuous, autonomous offensive campaigns, Security operations centers (SOCs) automating penetration testing. Free to start; paid plans from $1491788/mo.

Compared withvs Sublime Securityvs Push Securityvs Audioeye

Is Dark Moon actually worth it?

Live

See what real users actually say. We scan live discussions, reviews and complaints across the web and hand you an honest verdict — in under a minute.

3 free scans · no card needed · downloadable report

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Editorial Verdict

Best for
Professional penetration testers performing deep, multi-layer assessmentsRed teams needing continuous, autonomous offensive campaignsSecurity operations centers (SOCs) automating penetration testingBug bounty hunters targeting complex web/AD/K8s environmentsDevSecOps engineers integrating automated security into CI/CD
Not ideal for
Beginners seeking fully guided pentesting without Linux skillsOrganizations wanting only cloud-based SaaS (requires self-hosting)Teams needing zero setup effort (Community edition requires GitHub self-host)Users expecting a simple vulnerability scanner without exploit chainingEnterprises requiring multi-user SaaS with managed infrastructure

Darkmoon delivers real autonomous pentesting with validated exploits, not just scans. Its agentic orchestration and broad tool integration are powerful, but the self-hosted model and steep learning curve limit it to experienced red teams.

Compare with: Dark Moon vs Mindgard, Dark Moon vs Sakana AI, Dark Moon vs Persana AI

Last verified: July 2026

What independent users actually report about Dark Moon

We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.

34 mentions across 2 sources (App Store, Lemmy).

0% positive100% critical
Recurring strengths
  • +Autonomous multi-agent orchestration with 18 AI agents (from description).
  • +Supports web, AD, Kubernetes, and cloud targets (from description).
  • +Generates publication-ready reports mapped to CVSS 3.1 and MITRE ATT&CK (from description).
  • +Open source GPLv3 community edition available (from description).
  • +Real-time SSE dashboard for live campaign monitoring (from description).
Recurring frustrations
  • −No community feedback available to validate any claims.
  • −Name collision with an existing game causes confusion.
  • −Uncertain real-world reliability and exploit accuracy.
  • −Potential high cost for Pro tier with unknown value.
  • −Learning curve for agentic orchestration may be steep.
Patterns worth knowing
No relevant community discussion
Seen on App Store, Lemmy
Learning curve
advancedProductive in ~Days of setup
Hidden costs people mention
  • • No data available; potential costs for hardware binding or premium support

Viability Score

77/100
Safe Bet

How likely is Dark Moon to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
55
funding runway
80
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Autonomous multi-agent orchestration with 18 AI agents
  • Cascade control with dynamic routing and depth cap (3 levels)
  • Real-time SSE dashboard for live campaign monitoring
  • Infrastructure graph mapping hosts, paths, vulnerabilities
  • Publication-ready reports (ISO 27001, HackerOne, Bugcrowd)
  • CVSS 3.1 scoring and MITRE ATT&CK mapping
  • AES-256 sealed runtime and hardware-bound licensing
  • Binary integrity watchdog with 2-second checks
  • Anti-tamper detection (gdb, strace, frida, lldb)
  • Read-only rootfs + seccomp sandbox
  • Secret redaction in logs
  • Full-stack exploitation: SQLi, XSS, SSRF, RCE, etc.
  • Kubernetes attack chain: RBAC, DIND, node escape, etc.
  • Active Directory takeover: Kerberoasting, DCSync, ADCS
  • Detection of 14 technology signals for target profiling

About Dark Moon

FreemiumAdvancedAPI availableWeb · CLI

Darkmoon is an autonomous AI penetration testing platform that orchestrates 18 specialized AI agents and over 80 integrated security tools to continuously assess web applications, cloud infrastructure, Active Directory, and Kubernetes environments. Instead of merely scanning, Darkmoon reasons about targets, models attack surfaces, and dispatches agents with dynamic cascade control—executing real exploits and chaining attack paths to deliver proof-based vulnerabilities. Built for professional pentesters and red teams seeking scalable, continuous offensive security, Darkmoon automates reconnaissance, exploitation, and reporting. It streams live findings via SSE to a command center dashboard, maps infrastructure graphs, and generates ISO 27001, HackerOne, and Bugcrowd-compatible reports with CVSS 3.1 scoring and MITRE ATT&CK mappings. Its core engine detects 14 technology signals from the target and routes campaigns to the right specialists—sequential or parallel—with cascade depth capped at three levels to prevent runaway recursion. The runtime is hardened with AES-256 sealed storage, hardware-bound licensing, and a continuous integrity watchdog. Darkmoon offers both a GPLv3 open-source Community edition and a paid Pro tier with additional features like a hardened runtime and priority support, plus a Custom tier for enterprises. A live demo dashboard shows recent campaigns: the latest (Apr 26, 2026) found 57 vulnerabilities in 28.5 minutes, including 8 critical, 24 high, 21 medium, 4 low. Darkmoon is not a simple scanner—it's an autonomous security conductor that reasons and executes offensive campaigns end-to-end.

Behind the Verdict

Darkmoon fills a genuine gap: autonomous penetration testing that actually chains exploits and produces proof-of-concept findings. The agentic approach—where a master AI detects 14 technology signals and dispatches specialized agents—is a step beyond scripted automation. The live SSE dashboard and infrastructure graph give real-time visibility many tools lack. Where it excels: complex, multi-layer environments (web + AD + Kubernetes) where manual pivoting is tedious. The cascade control with depth cap prevents runaway recursion, a smart design choice. The runtime security (AES-256 sealed storage, hardware-bound licensing, binary integrity watchdog) is enterprise-grade. But it's not for everyone. You must self-host—no SaaS option. The Community edition needs GitHub setup and is GPLv3, which may deter commercial users. The Pro tier at €149/month (€1,788/year) is affordable for teams but still requires Linux admin skills. Beginners will struggle; the tool assumes pentesting expertise. Compared to alternatives like Pentera or XS Project, Darkmoon is more open (source-visible), cheaper (for Pro), but less polished in UI and lacks a cloud-managed option. For a dedicated red team ready to invest in setup, it's a potent force multiplier. For casual security testing, look elsewhere.

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Use Cases

  • Automate continuous penetration testing of web applications and APIs.
  • Map and exploit Active Directory attack paths using BloodHound and impacket.
  • Assess Kubernetes cluster security with kubectl, kubescape, and custom agents.
  • Generate ISO 27001 and HackerOne-compliant reports from automated campaigns.
  • Monitor live attack progress and infrastructure graphs from the command center.

Limitations

  • Darkmoon requires self-hosting for both Community and Pro editions; no SaaS cloud option is available.
  • The Pro tier's hardware-bound licensing may complicate multi-instance or ephemeral deployments.
  • Cascade depth is capped at three levels to prevent runaway recursion, which could limit deep attack chains in complex environments.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Annual total
Free
Over 12 months
Effective monthly
—
—

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Integrations

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Resources & Guides

  • Resourcedark-moon.org

    Home · Dark Moon

    Helpful link from dark-moon.org

Frequently Asked Questions

Tools that pair well with Dark Moon

Common stack mates teams adopt alongside Dark Moon, with the specific reason each pairing earns its keep.

Mindgard

Mindgard

Automated AI red teaming and security testing for agents and systems.

S

Sakana AI

Autonomous multi-agent AI for regulated Japanese enterprise R&D

P

Persana AI

AI sales prospecting with 100+ data sources and automation agents

Featured Head-to-Head Comparisons

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Sakana AI

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Persana AI

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AI sales prospecting with 100+ data sources and automation agents

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Details

Pricing
Freemium
Skill Level
Advanced
Platforms
Web, CLI
API Available
Yes
Pricing & overview verified
6d ago

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