# f4rih/websploit

Websploit is a high level MITM framework

Repository: https://github.com/f4rih/websploit
Canonical: https://ross.abutalabs.com/products/websploit
Language: Python
License: MIT
License Family: permissive
Topics: python, websploit, wifi-hacking, arp-spoofing, mitm, fake-ap, network-scanner, kali, debian
Last push: 2023-05-14T06:07:57+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 4364, "days_push": 1207, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1247, forks 301 (observed 2026-08-28T04:04:07.625554+00:00)

## What it is
Websploit is a high-level man-in-the-middle (MITM) security framework written in Python with a modular console interface similar to Metasploit. It provides modules for ARP spoofing, fake access points, WiFi hacking, and network scanning.

## Use cases
- perform ARP spoofing attacks on a local network
- set up a fake WiFi access point
- scan networks for connected hosts
- run man-in-the-middle attacks during penetration tests
- learn about network attack techniques in a lab environment

## When to choose
- you need a modular MITM toolkit on Kali or Debian
- you want a Metasploit-style console for network attacks
- you are doing authorized wireless or LAN penetration testing

## When to avoid
- you need a general-purpose vulnerability scanner
- you are on Windows or macOS without Linux tooling
- you lack authorization to test the target network

## Facets
- artifact type: framework
- maturity: stable
- function: security, networking, cli
- domain: security, penetration-testing, networking
- platform: python, cli
- tags: mitm, arp-spoofing, wifi-hacking, fake-ap, network-scanner, pentesting, kali-linux, command-line, linux

## Member repositories
- f4rih/websploit (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:07.625554+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 2026-08-30T05:07:56.803279+00:00, confidence not recorded.
  - readme: https://github.com/f4rih/websploit (fetched 2026-08-28T04:04:07.625554+00:00, sha b23d4f3eb0a3)
- Data as of 2026-08-30T08:39:29.467469+00:00.