Hachi Save

ATT&CK framework has become a benchmark in the security domain. ATT&CK provides data about each technique used across different attack stages. Hachi was created to contribute to the ATT&CK community. Hachi is based on the radare2 framework and uses data provided by ATT&CK to map the symptoms of malware on ATT&CK matrix.

Following modules of Hachi make this tool a great addition to an analyst’s or company’s armaments: • Multi Platform Support: It supports PE as well as ELF files. • Threat Intel: Hachi provides threat intelligence data like a possible parent campaign or author of a malware file. • Malware Behavior Mapping on MITRE Matrix: This tools find out the possible techniques used by malware and maps on MITRE matrix. • Malware behavior: It uncovers core malware behaviors using automated static analysis coupled with symbolic execution to explore multiple execution paths and maps it on ATT&CK matrix. • Binary Emulation: Hachi also provides binary emulation using Binee emulator and finds possible arttifacts on the system like file, registry etc. • Threat Intel Feed Integration: It also uses different threat intel feeds like AlienVault OTX, SPAMHAUS, HpHosts to look for IP, URL and hashes. • RESTful API: Hachi provides RESTful API which enables this tool to seamlessly integration with malware processing frameworks. • Visualization: It allows for the creation of detailed visual reports.

Hachi User Interface

Hachi Report Page

MITRE Mapping

Dependecies:

1. Download radare2 and add its path in system path.
2. Download and install Graphviz2.38 and add its path in system path.
3. Enable MSMQ feature on the system
4. Run CreateQueue.py
5. Install python packages mentioned in requirements.txt. pip install -r requirements.txt
6. Run hachi.py and scanda.py

Python Used:

python 3.7.6

References:

https://attack.mitre.org/
https://www.radare.org/get/THC2018.pdf
https://github.com/pinkflawd/r2graphity
https://github.com/Yara-Rules/rules