Sign in

Repository Index

47,133 repositories indexed

Tags: Security
Tags

A repository shows when it has any selected Tag.

Clear Tags
Filters (1)

Filters

Clear all filters

1–24 of 55 · Most stars

A powerful and user-friendly binary analysis platform!

  • binary
  • analysis
  • angr

P4wnP1 is a highly customizable USB attack platform, based on a low cost Raspberry Pi Zero or Raspberry Pi Zero W.

Server-Side Template Injection and Code Injection Detection and Exploitation Tool

Tool to look for several security related Android application vulnerabilities

Full-featured C2 framework which silently persists on webserver with a single-line PHP backdoor

  • post-exploitation
  • hacking
  • backdoor
  • stealth

An information security preparedness tool to do adversarial simulation.

  • uber
  • vagrant
  • yaml
  • celery

SIPVicious OSS is a VoIP security testing toolset. It helps security teams, QA and developers test SIP-based VoIP systems and applications. This toolset is useful in simulating VoIP hacking attacks against PBX systems especially through identification, scanning, extension enumeration and password cracking.

  • sip
  • voip
  • password-cracker
  • svwar

"Security Incidents In A Box!" A modular, menu-driven, cross-platform tool for building customized, time-delayed, distributed security events. Easily create custom event chains for Blue- & Red Team drills and sensor / alert mapping. Red Teams can create decoy incidents, distractions, and lures to support and scale their operations. Build event sequences ("narratives") to simulate realistic scenarios and generate corresponding network and filesystem artifacts.

30 different honeypots in one package! (dhcp, dns, elastic, ftp, http proxy, https proxy, http, https, imap, ipp, irc, ldap, memcache, mssql, mysql, ntp, oracle, pjl, pop3, postgres, rdp, redis, sip, smb, smtp, snmp, socks5, ssh, telnet, vnc)

Krawl is a customizable, lightweight, cloud-native web deception server and anti-crawler that creates fake web applications with low-hanging vulnerabilities using realistic, randomly generated decoy data and AI-generated HTML templates.