APT-Hunter Logo

APT-Hunter

0
Free
Visit Website

APT-Hunter is a Threat Hunting tool for Windows event logs which made by purple team mindset to detect APT movements hidden in the sea of Windows event logs to decrease the time to uncover suspicious activity. APT-Hunter uses pre-defined detection rules and focuses on statistics to uncover abnormalities which is very effective in compromise assessment. The output produced with a timeline that can be analyzed directly from Excel, Timeline Explorer, Timesketch, etc... Full information about the tool and how it's used in this article: introducing-apt-hunter-threat-hunting-tool-using-windows-event-log New Release Info: APT-HUNTER V3.0: Rebuilt with Multiprocessing and new cool features Author Twitter: @ahmed_khlief Linkedin: Ahmed Khlief Download APT-Hunter: Download the latest stable version of APT-Hunter with compiled binaries from Releases page. How to Use APT-Hunter: APT-Hunter built using python3 so in order to use the tool you need to install the required libraries. python3 -m pip install -r requirements.txt APT-Hunter is easy to use, you just use the argument -h to print help to see the options needed. python3 APT-Hunter.py -h Examples: Analyzing EVTX files, you can use the following command: python3 APT-Hunter.py -e <path_to_evt_file>

FEATURES

ALTERNATIVES

NECOMA focuses on data collection, threat analysis, and developing new cyberdefense mechanisms to protect infrastructure and endpoints.

A set of configuration files to use with EclecticIQ's OpenTAXII implementation for MISP integration.

Intelligence feeds for cybersecurity professionals to stay informed about emerging threats and trends.

Repository with projects for photo and video hashing, content moderation, and signal exchange.

A modular malware collection and processing framework with support for various threat intelligence feeds.

A repository of Yara signatures under the GNU-GPLv2 license for the cybersecurity community.

Modular Threat Hunting Tool & Framework

CAPECâ„¢ is a comprehensive dictionary of known attack patterns used by adversaries to exploit weaknesses in cyber-enabled capabilities.