GNU General Public License v3.0

项目介绍

javi-ln/wifi-spartan 是一个托管在 GitHub 上的开源项目,主要使用 Python 编写,采用 GNU General Public License v3.0 许可证,目前获得 30 个 Star、4 次 Fork。

仓库全名
javi-ln/wifi-spartan
开源许可证
GNU General Public License v3.0
Star 数
30
Fork 数
4

README 摘要

Wi-Fi Spartan ⚔️ Smart pentesting toolkit for modern WPA/WPA2 networks ⚔️📡 This application was developed for my Telecommunications Engineering bachelor's final thesis. Requirements The toolkit uses bettercap as its backend framework for attacking networks. Can be installed with any packet manager. Usage Run python3 wifispartan.py --help to see all available commands and options. To see all available options of a…

完整内容见 GitHub 原始 README 或本页 。

常见问题

wifi-spartan 用什么语言开发?

主要使用 Python 编写,采用 GNU General Public License v3.0 许可证,目前有 30 个 Star。

wifi-spartan 可以免费商用吗?

仓库标注的许可证为 GNU General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 wifi-spartan 的源码?

可以直接克隆仓库:git clone https://github.com/javi-ln/wifi-spartan.git,默认分支为 master;安装与运行步骤见仓库 README。

wifi-spartan 最近还在维护吗?

仓库最近一次更新为 2020年6月19日,当前没有未关闭的 Issue;Star 数为 30,可作为社区活跃度的参考。

关于

Smart pentesting toolkit for modern WPA/WPA2 networks ⚔️📡

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

简要分析

热度分
39
价值分
19
活跃状态
归档

语言占比

Python

贡献者

README

Wi-Fi Spartan ⚔️

Smart pentesting toolkit for modern WPA/WPA2 networks ⚔️📡

This application was developed for my Telecommunications Engineering bachelor’s final thesis.

Requirements

The toolkit uses bettercap as its backend framework for attacking networks. Can be installed with any packet manager.

Usage

Run python3 wifi_spartan.py --help to see all available commands and options. To see all available options of a function, run python3 wifi_spartan.py <module> --help.

Wi-Fi spartan modules:

  • scan: wireless spectrum scanner
  • deauth: deauthentication attack to attempt to capture the 4-way handshake
  • pmkid: PMKID client-less attack
  • spoof scan: local network hosts scanner
  • spoof spy: MiTM attack with ARP spoofing
  • automata: wardriving automation with deep reinforcement learning techniques.

Future implementations

  • jam: WiFi jamming with packet flooding
  • rogue: Evil Twin attack
  • crack: dictionary attack to attempt to crack the PSK

References

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