blackhillsinfosec/WifiForge

Health v2 · maintenance only

Adoption not part of the score

1216 stars · 151 forks observed · 2026-10-09

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

WifiForge is a Python-based training framework from Black Hills InfoSec that simulates Wi-Fi networks using mininet-wifi so pentesters can practice wireless attack vectors legally and safely. It automates lab setup and bundles common wireless attack tools without requiring physical hardware.

Use cases

• learn wifi hacking without buying hardware
• practice wireless attack labs in a VM
• train pentesters on wifi attack vectors
• simulate wifi networks for security training
• run aircrack-ng and wifiphisher labs safely
• set up a legal wifi pentesting practice environment

When to choose

• you want hands-on wireless security training without physical wifi adapters
• you need a safe, legal lab environment for learning wifi attacks
• you're teaching or self-studying wifi exploitation techniques

When to avoid

• you need a stable production tool for real wireless assessments
• you require guaranteed stability - the project is explicitly unstable and VM-only
• you need to test against real-world wireless networks

Facets

framework · maturity experimental

simulation penetration-testing security developer-tools cli security penetration-testing education networking tutorials python cli wifi-hacking wireless-security pentesting-labs mininet-wifi training-labs cybersecurity-training kali-linux virtual-lab-environment linux docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="blackhillsinfosec/WifiForge")