ATTPwn

Threat simulator

A tool for simulating and analyzing potential security threats to Microsoft Windows systems using the MITRE ATT&CK framework.

ATTPwn

GitHub

208 stars
16 watching
42 forks
Language: Python
last commit: 9 months ago

Related projects:

Repository Description Stars
miladaslaner/threathunt A PowerShell repository to simulate and train threat hunting skills without malicious files. 134
tripwire/tardis An intelligence platform for threat analysis and incident response 121
atc-project/atomic-threat-coverage A framework for generating actionable analytics to combat threats based on threat modeling and incident response 972
a3sal0n/cyberthreathunting A collection of tools and resources for threat hunters to identify and respond to cyber threats. 855
stamusnetworks/kts6 Templates for Kibana 6 to visualize and analyze Suricata threat intelligence data 25
owasp/pytm Automates threat modeling and documentation for software systems. 919
elastic/swat A tool designed to simulate malicious behavior against Google Workspace environments for threat research and detection rule effectiveness testing 161
pan-unit42/public_tools A collection of tools and utilities released by the Palo Alto Networks Threat Intelligence team. 709
uber-common/metta An adversarial simulation tool to test information security preparedness by simulating network-based attacks on various systems. 1,101
stratosphereips/manati A tool to assist threat analysts in discovering new security problems using machine learning 112
nshalabi/attack-tools Utilities for simulating adversary behavior in the context of threat intelligence and security analysis 1,012
yevh/taac-ai An AI-driven tool for analyzing service descriptions and identifying security threats. 114
securityriskadvisors/vectr A tool for simulating and tracking adversary threats to measure detection and prevention capabilities 1,393
jjschwartz/networkattacksimulator A simulated network environment for testing AI-powered security systems 169
usepa/wntr A tool for simulating and analyzing water distribution networks under disaster scenarios. 318