Open-Source Security · chainreactors

gogo

Gogo is a high-performance, Go-based reconnaissance and vulnerability scanning engine designed for red team operations. It supports flexible port configuration, active/passive fingerprinting, nuclei POC integration, and heuristic scanning modes with minimal resource overhead.

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Source: GitHub — github.com/chainreactors/gogo

2.1k

GitHub stars

196

Forks

Primary language

GPL-3.0

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	chainreactors/gogo
Owner	chainreactors
Primary language	Go
License	GPL-3.0 — OSI-approved
Stars	2.1k
Forks	196
Open issues	19
Latest release	v2.14.1 (2025-12-16)
Last updated	2026-07-04
Source	https://github.com/chainreactors/gogo

What gogo is

Written in pure Go with minimal external dependencies, gogo performs network reconnaissance via customizable port scanning, service fingerprinting (active/passive), certificate extraction, and POC execution through a nuclei integration (neutron engine). It provides DSL-based configuration, workflow automation, and multiple output formats (JSON, JSONL, URL) with optional deflate compression for large result sets.

Quickstart

Get the gogo source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/chainreactors/gogo.git2cd gogo3# follow the project's README for install & configuration

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

Best use cases

Large-scale internal network reconnaissance

Heuristic scanning modes (ss, sc, smart) optimize discovery across Class A/B subnets with ping validation and minimal packet overhead, reducing false negatives in low-latency internal environments.

Red team engagement support

Workflow presets and batch processing enable rapid target profiling across multiple network segments with human-reviewed POCs and configurable fingerprint/exploit templates from chainreactors/templates repository.

Post-exploitation asset discovery

Low concurrency modes and proxy support allow safe enumeration from compromised internal hosts, with output piping to downstream tools via quiet mode and structured formats (JSONL, jq-compatible).

Implementation considerations

Concurrency tuning is mandatory: default 4000 (Linux) / 1000 (Windows) can overwhelm consumer routers; adjust -t parameter for target network capacity (home: 100–500, proxy: 10–30).
POC execution via nuclei integration is scoped to chainreactors/templates; custom POCs require forking/extending the templates repository or writing custom DSL rules.
Output files are deflate-compressed by default (.dat1 extension); use -F with -o to reformat, or pipe -o jl for real-time tool integration (jq, grep, awk).
Authorization verification is mandatory; tool documentation explicitly prohibits unauthorized use. Legal review of engagement scope before execution.
High concurrent connections can trigger rate-limiting or network device failures; VPS deployment (cloud) strongly recommended over local networks for external scanning.

When to avoid it — and what to weigh

Permissive/non-commercial licensing required — GPL-3.0 requires derived works to remain open-source; redistribution or proprietary integration is restricted. Verify compatibility with your software distribution model.
Need commercial support or SLAs — No official commercial support, SLA, or vendor-backed maintenance guarantee indicated. Community-driven project with volunteer maintainers.
Defense/IDS signature evasion critical — Designed for red team offense; detection and signature management are not core features. Not suitable as a primary tool for continuous compliance scanning or EDR integration.
Strict isolation from external repositories required — Dynamically loads fingerprint/POC templates from chainreactors/templates and nuclei via neutron engine; air-gapped deployments require offline template curation.

License & commercial use

GPL-3.0 (GNU General Public License v3.0). Source code must be disclosed; derivative works and redistribution require GPL-3.0 compliance. Not compatible with proprietary/closed-source projects without dual licensing.

Caution: GPL-3.0 permits commercial use, but requires disclosure of source and GPL-3.0 compliance of all derivative works. If bundled into a commercial product, that product must either (a) remain open-source under GPL-3.0 or (b) negotiate separate commercial licensing with chainreactors. Verify legal review before commercial deployment.

DEV.co evaluation signals

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

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

Gogo itself is non-weaponized; it performs reconnaissance and executes POCs via nuclei, not exploit code. Security posture depends on: (1) template/POC curation (chainreactors/templates reviewed by community); (2) network environment isolation (high concurrency can trigger DoS warnings); (3) authorization verification (documentation mandates legal authorization); (4) supply-chain trust (external template/neutron engine dependencies). No vulnerability disclosure program or CVSS tracking indicated. Use in air-gapped environments or behind proxy for sensitive scanning.

Alternatives to consider

Nmap + NSE

Established, vendored, lower concurrency overhead. Lacks integrated POC execution; requires scripting for exploitation workflow. Better for conservative, production-grade infrastructure.

Masscan + Custom Scripts

Extreme concurrency for host discovery, but no fingerprinting or POC integration built-in. Requires external tool chaining. Suitable if scanning only for open ports, not service identification.

Shodan Enterprise + API

Cloud-hosted, external reconnaissance without network overhead. No internal network access; high cost. Complements rather than replaces gogo for internal red team scans.

Software development agency

Build on gogo with DEV.co software developers

Review the wiki documentation, test concurrency tuning in your environment, and verify GPL-3.0 compliance before deployment. Contact chainreactors for commercial licensing inquiries.

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gogo FAQ

Can I use gogo in a commercial product without open-sourcing?

No, unless you negotiate a separate commercial license with chainreactors. GPL-3.0 requires all derivative works to be open-sourced under GPL-3.0. Legal review mandatory before commercial deployment.

How do I reduce false negatives in high-latency networks?

Use heuristic modes (-m ss, -m sc), increase timeout (-d 5 or higher), and enable ping validation (--ping). Reduce concurrency (-t) if packet loss occurs. Test with verbose logging before full scans.

Can gogo run in a proxy environment?

Limited support. High default concurrency can overwhelm proxies; use -t 10-30 for SOCKS/HTTP proxies. Native proxy integration not documented; verify via testing or contact maintainers.

What happens if I run gogo from a compromised internal host?

Use low concurrency (-t 100-500), quiet mode (-q), and JSONL output (-o jl) to avoid network device stress and reduce detection. Output can be piped to exfiltration tools via stdout redirection.

Software development & web development with DEV.co

Need help beyond evaluating gogo? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source security integrations — and maintain them long-term.

Ready to integrate gogo into your red team workflow?

Review the wiki documentation, test concurrency tuning in your environment, and verify GPL-3.0 compliance before deployment. Contact chainreactors for commercial licensing inquiries.

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