# qi4L/qscan

Lightning-fast internal network scanner

Repository: https://github.com/qi4L/qscan
Canonical: https://ross.abutalabs.com/products/qscan
Language: Go
License: GPL-3.0
License Family: copyleft
Topics: scan, extreme-speed
Last push: 2026-05-24T04:56:00+00:00

## Health v2 (maintenance only)
Score: 72/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 84, release rhythm 61, longevity 63
- inputs: {"age_days": 895, "days_push": 101, "days_rel": 101, "gap_med": 94.0, "n_releases_24m": 7}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1206, forks 96 (observed 2026-08-28T04:03:59.265284+00:00)

## What it is
Qscan is an extremely fast internal network scanner written in Go, offering port scanning, protocol detection, service fingerprinting, brute forcing, and vulnerability probing. It supports 1200+ protocols, 10000+ protocol fingerprints, 20000+ application fingerprints, and brute forcing across 10+ protocols.

## Use cases
- scan an internal network for open ports
- identify services and application fingerprints on a subnet
- brute force credentials on network services
- detect known vulnerabilities on internal hosts
- quickly sweep a B-class network range
- enumerate live hosts before a pentest

## When to choose
- you need maximum scanning speed on large internal networks
- you want port scanning, fingerprinting, brute forcing, and vuln detection in one tool
- you found fscan or kscan too slow for your scan scope

## When to avoid
- you need stealthy or low-and-slow scanning that avoids detection
- you require a GUI-driven vulnerability management platform
- you need external internet-wide asset discovery rather than internal network scanning

## Facets
- artifact type: cli-tool
- maturity: active
- function: security, networking, penetration-testing, cli
- domain: security, penetration-testing, networking
- platform: windows, cli, go
- tags: port-scanner, service-fingerprinting, brute-force, vulnerability-detection, internal-network-scanning, command-line, linux, macos

## Member repositories
- qi4L/qscan (main) score 72

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:59.265284+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:19:19.057270+00:00, confidence not recorded.
  - readme: https://github.com/qi4L/qscan (fetched 2026-08-28T04:03:59.265284+00:00, sha 3b60d718a27a)
- Data as of 2026-08-30T08:39:29.467469+00:00.