Open-Source Security · honmashironeko

ARL-docker

ARL-docker is a containerized deployment wrapper around ARL v2.6.2, a reconnaissance and asset discovery tool for cybersecurity. It packages ARL with ~7,000+ fingerprints and provides one-click Docker setup scripts for Linux and macOS, reducing deployment friction.

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Source: GitHub — github.com/honmashironeko/ARL-docker

720

GitHub stars

Forks

Shell

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	honmashironeko/ARL-docker
Owner	honmashironeko
Primary language	Shell
License	Apache-2.0 — OSI-approved
Stars	720
Forks	80
Open issues	4
Latest release	arl (2024-05-23)
Last updated	2025-07-24
Source	https://github.com/honmashironeko/ARL-docker

What ARL-docker is

Shell-based project that wraps ARL v2.6.2 source code into Docker images with pre-configured fingerprint databases. Includes docker-compose orchestration, configuration management via YAML, and deployment automation scripts targeting Linux and macOS environments.

Quickstart

Get the ARL-docker source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/honmashironeko/ARL-docker.git2cd ARL-docker3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Rapid deployment of ARL reconnaissance infrastructure

Organizations needing to quickly spin up asset discovery and reconnaissance capabilities without manual ARL compilation and dependency management. Docker encapsulation simplifies environment parity across teams.

Penetration testing team infrastructure

Red teams conducting authorized security assessments who need standardized, reproducible reconnaissance tooling with extended fingerprint databases for application fingerprinting.

Security posture assessment in isolated networks

Internal security teams running asset discovery and enumeration in controlled, non-production environments to map infrastructure and identify exposed services.

Implementation considerations

Default credentials (admin/honmashironeko) must be changed immediately before any network exposure. No mention of password hashing or credential rotation policy.
Fingerprint database (~7,000 entries, sourced from multiple undocumented origins) carries unknown accuracy and maintenance risk. No versioning, update frequency, or deprecation strategy documented.
Docker setup scripts (setup_docker.sh, setup_mac_docker.sh) are shell-based and may require manual troubleshooting on divergent systems. Script errors are noted as requiring re-run without explanation.
Configuration via docker-compose.yaml and config-docker.yaml requires manual editing. No templating, environment variable injection patterns, or ConfigMap strategies for infrastructure-as-code workflows.
Upstream ARL v2.6.2 appears to be a fork from TophantTechnology/ARL via Aabyss-Team backup. Patching and security update lag relative to upstream is unknown.

When to avoid it — and what to weigh

Production-facing or continuous exposure requirements — No evidence of hardening, TLS configuration guidance, or secrets management strategy. Default credentials (admin/honmashironeko) and no mention of authentication framework indicate unsuitable for untrusted networks.
Regulated compliance environments — No audit logging, data retention policies, or compliance framework documentation. Fingerprint sources are mixed and undocumented; traceability and regulatory alignment are unclear.
Long-term stability or vendor support dependency — Project is a third-party wrapper around ARL v2.6.2 (upstream appears dormant per 'backup' phrasing). No SLA, security patching timeline, or maintainer commitment stated. Minimal issue resolution (4 open issues, but no resolution evidence).
Cross-platform production use without testing — macOS support is recently added and adapter-dependent (OrbStack/Docker Desktop). Linux deployment success is not validated across distributions. One-click scripts may mask underlying platform-specific brittle points.

License & commercial use

Licensed under Apache License 2.0 (Apache-2.0), a permissive OSI-approved license permitting commercial use, modification, and distribution with attribution and liability disclaimer. No sublicense conflicts noted in provided data.

Apache 2.0 permits commercial use, modification, and redistribution. However, this project is a wrapper around upstream ARL (TophantTechnology/ARL, backed up by Aabyss-Team); upstream license must be verified independently. Fingerprint data sources are mixed and undocumented, creating potential IP or licensing risk if commercial intent includes fingerprint redistribution. Legal review recommended before production commercialization.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Moderate
Documentation	Limited
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Possible
Assessment confidence	Medium

Security considerations

Default credentials are hardcoded and noted in README, creating immediate exploitation risk if exposed to untrusted networks. No TLS/HTTPS configuration guidance for the web UI (port 5003). No mention of input validation, rate limiting, or access control beyond basic auth. Fingerprint database sourcing is undocumented, raising supply-chain data integrity concerns. Container image provenance and base image security updates are not addressed. No SBOM, vulnerability scanning, or security policy documented.

Alternatives to consider

Official ARL (TophantTechnology/ARL)

Direct upstream source with potential for bug fixes and features. Requires manual installation and dependency management but avoids third-party wrapper risks.

Nmap + custom fingerprinting

Lightweight, well-maintained alternative for basic reconnaissance. Requires custom script development for fingerprinting but offers fine-grained control and no third-party wrapper dependency.

Shodan CLI / Censys API

Cloud-based asset discovery with larger, continuously updated fingerprint databases. Trades on-premise control for managed reliability, but introduces subscription cost and external data dependency.

Software development agency

Build on ARL-docker with DEV.co software developers

Verify upstream ARL stability, audit default credentials and fingerprint sources, and conduct security hardening before production use. Consult with your security team on compliance requirements.

Talk to DEV.co

Related open-source tools

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ARL-docker FAQ

What is ARL and how does this wrapper differ?

ARL is an open-source reconnaissance tool for asset discovery. This wrapper containerizes ARL v2.6.2 and adds ~7,000 fingerprints, reducing deployment friction. It is not a fork of ARL but a distribution layer; upstream patches are not automatically included.

Is this suitable for production security operations?

Not without hardening. Default credentials, no encryption guidance, missing audit logging, and undocumented fingerprint provenance make it unsuitable for regulated or high-security environments. Use in isolated test/staging environments only without security review.

How are fingerprints updated and maintained?

Fingerprints are baked into the Docker image at build time from multiple undocumented sources. No live update mechanism is provided. Updates require rebuilding the image; frequency and process are not defined.

What is the long-term support and security patch strategy?

Unknown. No SLA or patching commitment is stated. The project wraps ARL v2.6.2; if upstream (TophantTechnology/ARL) ceases maintenance, this wrapper will not receive security updates. Monitor upstream project status independently.

Work with a software development agency

From first prototype to production, DEV.co delivers software development services around tools like ARL-docker. Our software development agency staffs experienced software developers and web developers for custom software development, web development, integrations, and ongoing support across open-source security and beyond.

Considering ARL-Docker for your security stack?

Verify upstream ARL stability, audit default credentials and fingerprint sources, and conduct security hardening before production use. Consult with your security team on compliance requirements.

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