bettercap v2.32 releases: Swiss army knife for network attacks and monitoring

by do son · Published June 22, 2019 · Updated August 21, 2021

bettercap is a powerful, easily extensible, and portable framework written in Go which aims to offer to security researchers, red teamers and reverse engineers an easy to use, all-in-one solution with all the features they might possibly need for performing reconnaissance and attacking WiFi networks, Bluetooth Low Energy devices, wireless HID devices and Ethernet networks.

Main Features

WiFi networks scanning, deauthentication attack, clientless PMKID association attack, and automatic WPA/WPA2 client handshakes capture.
Bluetooth Low Energy devices scanning, characteristics enumeration, reading, and writing.
2.4Ghz wireless devices scanning and MouseJacking attacks with over-the-air HID frames injection (with DuckyScript support).
Passive and active IP network hosts probing and recon.
ARP, DNS and DHCPv6 spoofers for MITM attacks on IP based networks.
Proxies at a packet level, TCP level and HTTP/HTTPS application-level fully scriptable with easy to implement javascript plugins.
A powerful network sniffer for credentials harvesting which can also be used as a network protocol fuzzer.
A very fast port scanner.
A powerful REST API with support for asynchronous events notification on websocket to orchestrate your attacks easily.
A very convenient web UI.
More!

Bettercap v2.32 released.

Changelog

New Features

81ae731 new: new -pcap-buf-size option to set a custom pcap buffer size (closes #896)
59dce4c new: centralized pcap capture configuration management
d0ecfd4 new: updated to go 1.16
ef2cd00 add wifi fake authentication attack
c8ecaf9 add channel hopping attack
58f4214 added Windows basepath to UI setup

Fixes

d7f95dc Various changes and fixes
0637451 Fix arp.spoof not sending replies
6c2c0da fix: checking boundaries when parsing WPS vendor extensions (fixes #885)
9404620 Support for ch177
daf2f94 Further tests for mapping dot11 frequencies to channels as ch177 was not discovered correctly based on freq